The SCEAS System
Navigation Menu

Conferences in DBLP

Genetic and Evolutionary Computation Conference (GECCO) (gecco)
2009 (conf/gecco/2009g)


  1. Parallel shared memory strategies for ant-based optimization algorithms. [Citation Graph (, )][DBLP]


  2. Swarming to rank for information retrieval. [Citation Graph (, )][DBLP]


  3. An evaporation mechanism for dynamic and noisy multimodal optimization. [Citation Graph (, )][DBLP]


  4. The bee colony-inspired algorithm (BCiA): a two-stage approach for solving the vehicle routing problem with time windows. [Citation Graph (, )][DBLP]


  5. Self-synchronized duty-cycling in sensor networks with energy harvesting capabilities: the static network case. [Citation Graph (, )][DBLP]


  6. VISPLORE: a toolkit to explore particle swarms by visual inspection. [Citation Graph (, )][DBLP]


  7. Visualizing the search process of particle swarm optimization. [Citation Graph (, )][DBLP]


  8. Particle swarm optimization based multi-prototype ensembles. [Citation Graph (, )][DBLP]


  9. The singly-linked ring topology for the particle swarm optimization algorithm. [Citation Graph (, )][DBLP]


  10. An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios. [Citation Graph (, )][DBLP]


  11. An ant colony optimization approach to the traveling tournament problem. [Citation Graph (, )][DBLP]


  12. Evolution of functional specialization in a morphologically homogeneous robot. [Citation Graph (, )][DBLP]


  13. Evolving quorum sensing in digital organisms. [Citation Graph (, )][DBLP]


  14. Problem decomposition using indirect reciprocity in evolved populations. [Citation Graph (, )][DBLP]


  15. Sustaining diversity using behavioral information distance. [Citation Graph (, )][DBLP]


  16. Combined structure and motion extraction from visual data using evolutionary active learning. [Citation Graph (, )][DBLP]


  17. Learning complex robot control using evolutionary behavior based systems. [Citation Graph (, )][DBLP]


  18. Evolution of robust data distribution among digital organisms. [Citation Graph (, )][DBLP]


  19. Neuroevolutionary reinforcement learning for generalized helicopter control. [Citation Graph (, )][DBLP]


  20. How novelty search escapes the deceptive trap of learning to learn. [Citation Graph (, )][DBLP]


  21. Liposome logic. [Citation Graph (, )][DBLP]


  22. Novelty of behaviour as a basis for the neuro-evolution of operant reward learning. [Citation Graph (, )][DBLP]


  23. Environmental robustness in multi-agent teams. [Citation Graph (, )][DBLP]


  24. Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. [Citation Graph (, )][DBLP]


  25. Learning regulation functions of metabolic systems by artificial neural networks. [Citation Graph (, )][DBLP]


  26. A memetic algorithm for gene selection and molecular classification of cancer. [Citation Graph (, )][DBLP]


  27. Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila. [Citation Graph (, )][DBLP]


  28. Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching. [Citation Graph (, )][DBLP]


  29. Modeling evolutionary fitness for DNA motif discovery. [Citation Graph (, )][DBLP]


  30. Biologically-implemented genetic algorithm for protein engineering. [Citation Graph (, )][DBLP]


  31. Swarming along the evolutionary branches sheds light on genome rearrangement scenarios. [Citation Graph (, )][DBLP]


  32. Improved analysis methods for crossover-based algorithms. [Citation Graph (, )][DBLP]


  33. Stable solving of CVRPs using hyperheuristics. [Citation Graph (, )][DBLP]


  34. Exploiting hierarchical clustering for finding bounded diameter minimum spanning trees on euclidean instances. [Citation Graph (, )][DBLP]


  35. An experimental investigation of model-based parameter optimisation: SPO and beyond. [Citation Graph (, )][DBLP]


  36. Evolving heuristically difficult instances of combinatorial problems. [Citation Graph (, )][DBLP]


  37. A hybrid genetic algorithm for a variant of two-dimensional packing problem. [Citation Graph (, )][DBLP]


  38. Fixed-parameter evolutionary algorithms and the vertex cover problem. [Citation Graph (, )][DBLP]


  39. Solving the sorting network problem using iterative optimization with evolved hypermutations. [Citation Graph (, )][DBLP]


  40. Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem: MOGP for BDMST. [Citation Graph (, )][DBLP]


  41. A cooperative and self-adaptive metaheuristic for the facility location problem. [Citation Graph (, )][DBLP]


  42. A weight-coded genetic algorithm for the capacitated arc routing problem. [Citation Graph (, )][DBLP]


  43. Comparisons between an exact and a metaheuristic algorithm for the molecular distance geometry problem. [Citation Graph (, )][DBLP]


  44. Analyzing the landscape of a graph based hyper-heuristic for timetabling problems. [Citation Graph (, )][DBLP]


  45. Meta-heuristics for reconstructing cross cut shredded text documents. [Citation Graph (, )][DBLP]


  46. New insights into the OCST problem: integrating node degrees and their location in the graph. [Citation Graph (, )][DBLP]


  47. A polynomial time computation of the exact correlation structure of k-satisfiability landscapes. [Citation Graph (, )][DBLP]


  48. New heuristic and hybrid genetic algorithm for solving the bounded diameter minimum spanning tree problem. [Citation Graph (, )][DBLP]


  49. Partial neighborhoods of elementary landscapes. [Citation Graph (, )][DBLP]


  50. On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs. [Citation Graph (, )][DBLP]


  51. Difficulty of linkage learning in estimation of distribution algorithms. [Citation Graph (, )][DBLP]


  52. EDA-RL: estimation of distribution algorithms for reinforcement learning problems. [Citation Graph (, )][DBLP]


  53. Intelligent bias of network structures in the hierarchical BOA. [Citation Graph (, )][DBLP]


  54. Correlation guided model building. [Citation Graph (, )][DBLP]


  55. Initial-population bias in the univariate estimation of distribution algorithm. [Citation Graph (, )][DBLP]


  56. Effects of a deterministic hill climber on hBOA. [Citation Graph (, )][DBLP]


  57. Mining probabilistic models learned by EDAs in the optimization of multi-objective problems. [Citation Graph (, )][DBLP]


  58. Why one must use reweighting in estimation of distribution algorithms. [Citation Graph (, )][DBLP]


  59. Approximating the search distribution to the selection distribution in EDAs. [Citation Graph (, )][DBLP]


  60. Evaluation of population partitioning schemes in bayesian classifier EDAs: estimation of distribution algoithms. [Citation Graph (, )][DBLP]


  61. Convergence analysis of UMDAC with finite populations: a case study on flat landscapes. [Citation Graph (, )][DBLP]


  62. On the behaviour of weighted multi-recombination evolution strategies optimising noisy cigar functions. [Citation Graph (, )][DBLP]


  63. A novel approach to adaptive isolation in evolution strategies. [Citation Graph (, )][DBLP]


  64. On strategy parameter control by Meta-ES. [Citation Graph (, )][DBLP]


  65. Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers. [Citation Graph (, )][DBLP]


  66. Tone mapping by interactive evolution. [Citation Graph (, )][DBLP]


  67. Hybrid differential evolution based on fuzzy C-means clustering. [Citation Graph (, )][DBLP]


  68. Cooperative micro-differential evolution for high-dimensional problems. [Citation Graph (, )][DBLP]


  69. Efficient natural evolution strategies. [Citation Graph (, )][DBLP]


  70. Space partitioning with adaptive epsilon-ranking and substitute distance assignments: a comparative study on many-objective mnk-landscapes. [Citation Graph (, )][DBLP]


  71. Articulating user preferences in many-objective problems by sampling the weighted hypervolume. [Citation Graph (, )][DBLP]


  72. Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences. [Citation Graph (, )][DBLP]


  73. Multiplicative approximations and the hypervolume indicator. [Citation Graph (, )][DBLP]


  74. Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. [Citation Graph (, )][DBLP]


  75. A stopping criterion based on Kalman estimation techniques with several progress indicators. [Citation Graph (, )][DBLP]


  76. Evolutionary algorithms and multi-objectivization for the travelling salesman problem. [Citation Graph (, )][DBLP]


  77. On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization. [Citation Graph (, )][DBLP]


  78. Study of preference relations in many-objective optimization. [Citation Graph (, )][DBLP]


  79. Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm. [Citation Graph (, )][DBLP]


  80. Using behavioral exploration objectives to solve deceptive problems in neuro-evolution. [Citation Graph (, )][DBLP]


  81. Multiobjective classification with moGEP: an application in the network traffic domain. [Citation Graph (, )][DBLP]


  82. A multiobjective GRASP for rule selection. [Citation Graph (, )][DBLP]


  83. Evolutionary continuation methods for optimization problems. [Citation Graph (, )][DBLP]


  84. Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation. [Citation Graph (, )][DBLP]


  85. Using a distance metric to guide PSO algorithms for many-objective optimization. [Citation Graph (, )][DBLP]


  86. The sensitivity of HyperNEAT to different geometric representations of a problem. [Citation Graph (, )][DBLP]


  87. Facilitating evolutionary innovation by developmental modularity and variability. [Citation Graph (, )][DBLP]


  88. Scalability, generalization and coevolution -- experimental comparisons applied to automated facility layout planning. [Citation Graph (, )][DBLP]


  89. Evolution, development and learning using self-modifying cartesian genetic programming. [Citation Graph (, )][DBLP]


  90. Evolution of cartesian genetic programs capable of learning. [Citation Graph (, )][DBLP]


  91. The challenge of irrationality: fractal protein recipes for PI. [Citation Graph (, )][DBLP]


  92. Evolving specific network statistical properties using a gene regulatory network model. [Citation Graph (, )][DBLP]


  93. Evolving symmetric and modular neural networks for distributed control. [Citation Graph (, )][DBLP]


  94. Adaptation of expansion rate for real-coded crossovers. [Citation Graph (, )][DBLP]


  95. Adaptive terrain-based memetic algorithms. [Citation Graph (, )][DBLP]


  96. Bayesian network structure learning using cooperative coevolution. [Citation Graph (, )][DBLP]


  97. Three interconnected parameters for genetic algorithms. [Citation Graph (, )][DBLP]


  98. Evolutionary algorithms and dynamic programming. [Citation Graph (, )][DBLP]


  99. Analysis of adaptive operator selection techniques on the royal road and long k-path problems. [Citation Graph (, )][DBLP]


  100. On the significance of the permutation problem in neuroevolution. [Citation Graph (, )][DBLP]


  101. Steady-state ALPS for real-valued problems. [Citation Graph (, )][DBLP]


  102. Maximal age in randomized search heuristics with aging. [Citation Graph (, )][DBLP]


  103. Cheating for problem solving: a genetic algorithm with social interactions. [Citation Graph (, )][DBLP]


  104. Improving genetic algorithms performance via deterministic population shrinkage. [Citation Graph (, )][DBLP]


  105. Markov chain analysis of genetic algorithms in a wide variety of noisy environments. [Citation Graph (, )][DBLP]


  106. Theoretical analysis of fitness-proportional selection: landscapes and efficiency. [Citation Graph (, )][DBLP]


  107. Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. [Citation Graph (, )][DBLP]


  108. Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. [Citation Graph (, )][DBLP]


  109. Overlapped community detection in complex networks. [Citation Graph (, )][DBLP]


  110. Pareto cooperative coevolutionary genetic algorithm using reference sharing collaboration. [Citation Graph (, )][DBLP]


  111. Improving prediction in evolutionary algorithms for dynamic environments. [Citation Graph (, )][DBLP]


  112. Prediction in evolutionary algorithms for dynamic environments using markov chains and nonlinear regression. [Citation Graph (, )][DBLP]


  113. Centric selection: a way to tune the exploration/exploitation trade-off. [Citation Graph (, )][DBLP]


  114. Analysis of coevolution for worst-case optimization. [Citation Graph (, )][DBLP]


  115. Classification and regression-based surrogate model-assisted interactive genetic algorithm with individual's fuzzy fitness. [Citation Graph (, )][DBLP]


  116. Tunneling between optima: partition crossover for the traveling salesman problem. [Citation Graph (, )][DBLP]


  117. An evolutionary algorithm with species-specific explosion for multimodal optimization. [Citation Graph (, )][DBLP]


  118. Evolving reusable 3d packing heuristics with genetic programming. [Citation Graph (, )][DBLP]


  119. Animated drawings rendered by genetic programming. [Citation Graph (, )][DBLP]


  120. A genetic programming approach to automated software repair. [Citation Graph (, )][DBLP]


  121. GP-rush: using genetic programming to evolve solvers for the rush hour puzzle. [Citation Graph (, )][DBLP]


  122. Neutrality and variability: two sides of evolvability in linear genetic programming. [Citation Graph (, )][DBLP]


  123. Evolving an autonomous agent for non-Markovian reinforcement learning. [Citation Graph (, )][DBLP]


  124. How online simplification affects building blocks in genetic programming. [Citation Graph (, )][DBLP]


  125. Approximating geometric crossover in semantic space. [Citation Graph (, )][DBLP]


  126. Functional modularity for genetic programming. [Citation Graph (, )][DBLP]


  127. Estimating the distribution and propagation of genetic programming building blocks through tree compression. [Citation Graph (, )][DBLP]


  128. Developmental plasticity in linear genetic programming. [Citation Graph (, )][DBLP]


  129. Pareto front feature selection: using genetic programming to explore feature space. [Citation Graph (, )][DBLP]


  130. Shape grammars and grammatical evolution for evolutionary design. [Citation Graph (, )][DBLP]


  131. Genetic programming in the wild: evolving unrestricted bytecode. [Citation Graph (, )][DBLP]


  132. Evolutionary learning of local descriptor operators for object recognition. [Citation Graph (, )][DBLP]


  133. Evolving stochastic processes using feature tests and genetic programming. [Citation Graph (, )][DBLP]


  134. Evolution of team composition in multi-agent systems. [Citation Graph (, )][DBLP]


  135. Evolving an edge selection formula for ant colony optimization. [Citation Graph (, )][DBLP]


  136. Discovering a domain alphabet. [Citation Graph (, )][DBLP]


  137. Incorporating expert knowledge in evolutionary search: a study of seeding methods. [Citation Graph (, )][DBLP]


  138. Genetic programming for protein related text classification. [Citation Graph (, )][DBLP]


  139. Graph structured program evolution with automatically defined nodes. [Citation Graph (, )][DBLP]


  140. Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. [Citation Graph (, )][DBLP]


  141. Genetic programming based image segmentation with applications to biomedical object detection. [Citation Graph (, )][DBLP]


  142. Program optimization by random tree sampling. [Citation Graph (, )][DBLP]


  143. Using crossover based similarity measure to improve genetic programming generalization ability. [Citation Graph (, )][DBLP]


  144. Binary encoding for prototype tree of probabilistic model building GP. [Citation Graph (, )][DBLP]


  145. A mixed discrete-continuous attribute list representation for large scale classification domains. [Citation Graph (, )][DBLP]


  146. Unsupervised feature weighting with multi niche crowding genetic algorithms. [Citation Graph (, )][DBLP]


  147. Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control. [Citation Graph (, )][DBLP]


  148. Evolving competitive car controllers for racing games with neuroevolution. [Citation Graph (, )][DBLP]


  149. Modeling UCS as a mixture of experts. [Citation Graph (, )][DBLP]


  150. Evolutionary-based learning of generalised policies for AI planning domains. [Citation Graph (, )][DBLP]


  151. Integrating real-time analysis with the dendritic cell algorithm through segmentation. [Citation Graph (, )][DBLP]


  152. Uncertainty handling CMA-ES for reinforcement learning. [Citation Graph (, )][DBLP]


  153. Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. [Citation Graph (, )][DBLP]


  154. A PSO-based framework for dynamic SVM model selection. [Citation Graph (, )][DBLP]


  155. Neural network ensembles for time series forecasting. [Citation Graph (, )][DBLP]


  156. Agglomerative genetic algorithm for clustering in social networks. [Citation Graph (, )][DBLP]


  157. Gene transposon based clonal selection algorithm for clustering. [Citation Graph (, )][DBLP]


  158. Improving Markov chain classification using string transformations and evolutionary search. [Citation Graph (, )][DBLP]


  159. A population-based approach to finding the matchset of a learning classifier system efficiently. [Citation Graph (, )][DBLP]


  160. Geometrical insights into the dendritic cell algorithm. [Citation Graph (, )][DBLP]


  161. New entropy model for extraction of structural information from XCS population. [Citation Graph (, )][DBLP]


  162. Free lunches for neural network search. [Citation Graph (, )][DBLP]


  163. Discrete dynamical genetic programming in XCS. [Citation Graph (, )][DBLP]


  164. uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions. [Citation Graph (, )][DBLP]


  165. On the scalability of XCS(F). [Citation Graph (, )][DBLP]


  166. The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. [Citation Graph (, )][DBLP]


  167. Genotypic differences and migration policies in an island model. [Citation Graph (, )][DBLP]


  168. Distributed hyper-heuristics for real parameter optimization. [Citation Graph (, )][DBLP]


  169. Overcoming partitioning in large ad hoc networks using genetic algorithms. [Citation Graph (, )][DBLP]


  170. An island model for high-dimensional genomes using phylogenetic speciation and species barcoding. [Citation Graph (, )][DBLP]


  171. Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster. [Citation Graph (, )][DBLP]


  172. A memetic algorithm and a parallel hyperheuristic island-based model for a 2D packing problem. [Citation Graph (, )][DBLP]


  173. Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs. [Citation Graph (, )][DBLP]


  174. Data-intensive computing for competent genetic algorithms: a pilot study using meandre. [Citation Graph (, )][DBLP]


  175. An asynchronous parallel implementation of a cellular genetic algorithm for combinatorial optimization. [Citation Graph (, )][DBLP]


  176. Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA. [Citation Graph (, )][DBLP]


  177. pCMALib: a parallel fortran 90 library for the evolution strategy with covariance matrix adaptation. [Citation Graph (, )][DBLP]


  178. Application of evolutionary algorithms in detection of SIP based flooding attacks. [Citation Graph (, )][DBLP]


  179. Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios. [Citation Graph (, )][DBLP]


  180. Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systems. [Citation Graph (, )][DBLP]


  181. An extended evolution strategy for the characterization of fracture conductivities from well tests. [Citation Graph (, )][DBLP]


  182. Multi-objective optimization with an evolutionary artificial neural network for financial forecasting. [Citation Graph (, )][DBLP]


  183. Evolutionary inference of rule-based trading agents from real-world stock price histories and their use in forecasting. [Citation Graph (, )][DBLP]


  184. Bringing evolutionary computation to industrial applications with guide. [Citation Graph (, )][DBLP]


  185. A multiobjective evolutionary algorithm for the task based sailor assignment problem. [Citation Graph (, )][DBLP]


  186. Simulating human grandmasters: evolution and coevolution of evaluation functions. [Citation Graph (, )][DBLP]


  187. Optimizing low-discrepancy sequences with an evolutionary algorithm. [Citation Graph (, )][DBLP]


  188. A multi-objective approach to data sharing with privacy constraints and preference based objectives. [Citation Graph (, )][DBLP]


  189. Generative relations for evolutionary equilibria detection. [Citation Graph (, )][DBLP]


  190. Robustness of multiple objective GP stock-picking in unstable financial markets: real-world applications track. [Citation Graph (, )][DBLP]


  191. Multi material topological optimization of structures and mechanisms. [Citation Graph (, )][DBLP]


  192. Optimization of the trading rule in foreign exchange using genetic algorithm. [Citation Graph (, )][DBLP]


  193. Evolutionary optimization of multistage interconnection networks performance. [Citation Graph (, )][DBLP]


  194. A highly configurable test system for evolutionary black-box testing of embedded systems. [Citation Graph (, )][DBLP]


  195. IMAD: in-execution malware analysis and detection. [Citation Graph (, )][DBLP]


  196. Tracking multiple objects in non-stationary video. [Citation Graph (, )][DBLP]


  197. Evolvable malware. [Citation Graph (, )][DBLP]


  198. Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanisms. [Citation Graph (, )][DBLP]


  199. A genetic algorithm for analyzing choice behavior with mixed decision strategies. [Citation Graph (, )][DBLP]


  200. Genetic programming methodology that synthesize vegetation indices for the estimation of soil cover. [Citation Graph (, )][DBLP]


  201. Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systems. [Citation Graph (, )][DBLP]


  202. Optimization of dynamic memory managers for embedded systems using grammatical evolution. [Citation Graph (, )][DBLP]


  203. A hybrid GA-PSO fuzzy system for user identification on smart phones. [Citation Graph (, )][DBLP]


  204. A genetic approach to statistical disclosure control. [Citation Graph (, )][DBLP]


  205. Soft memory for stock market analysis using linear and developmental genetic programming. [Citation Graph (, )][DBLP]


  206. Behavioural GP diversity for adaptive stock selection. [Citation Graph (, )][DBLP]


  207. Insight knowledge in search based software testing. [Citation Graph (, )][DBLP]


  208. MC/DC automatic test input data generation. [Citation Graph (, )][DBLP]


  209. Dealing with inheritance in OO evolutionary testing. [Citation Graph (, )][DBLP]


  210. Software project planning for robustness and completion time in the presence of uncertainty using multi objective search based software engineering. [Citation Graph (, )][DBLP]


  211. Search based data sensitivity analysis applied to requirement engineering. [Citation Graph (, )][DBLP]


  212. Search-based failure discovery using testability transformations to generate pseudo-oracles. [Citation Graph (, )][DBLP]


  213. Using automated search to generate test data for matlab. [Citation Graph (, )][DBLP]


  214. Geometric differential evolution. [Citation Graph (, )][DBLP]


  215. Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change. [Citation Graph (, )][DBLP]


  216. Free lunches in pareto coevolution. [Citation Graph (, )][DBLP]


  217. On the performance effects of unbiased module encapsulation. [Citation Graph (, )][DBLP]


  218. Limiting the velocity in particle swarm optimization using a geometric series. [Citation Graph (, )][DBLP]


  219. Apply ant colony optimization to Tetris. [Citation Graph (, )][DBLP]


  220. Particle swarm optimization in the presence of multiple global optima. [Citation Graph (, )][DBLP]


  221. Dynamic particle swarm optimization via ring topologies. [Citation Graph (, )][DBLP]


  222. Building with the beeoids: guided automatic construction using pheromones. [Citation Graph (, )][DBLP]


  223. Particle swarm optimization with an oscillating inertia weight. [Citation Graph (, )][DBLP]


  224. Particle swarm optimization with oscillation control. [Citation Graph (, )][DBLP]


  225. A particle swarm optimization approach for substance identification. [Citation Graph (, )][DBLP]


  226. Comparison of archiving methods in multi-objectiveparticle swarm optimization (MOPSO): empirical study. [Citation Graph (, )][DBLP]


  227. Cryptanalysis of four-rounded DES using binary particle swarm optimization. [Citation Graph (, )][DBLP]


  228. Simplex-based particles swarm optimizer. [Citation Graph (, )][DBLP]


  229. Particle swarm optimization with information share mechanism. [Citation Graph (, )][DBLP]


  230. Orthogonal learning particle swarm optimization. [Citation Graph (, )][DBLP]


  231. Ant colony system based on receding horizon control for aircraft arrival sequencing and scheduling. [Citation Graph (, )][DBLP]


  232. On the characteristics of sequential decision problems and their impact on evolutionary computation. [Citation Graph (, )][DBLP]


  233. The impact of jointly evolving robot morphology and control on adaptation rate. [Citation Graph (, )][DBLP]


  234. Single step evolution of robot controllers for sequential tasks. [Citation Graph (, )][DBLP]


  235. Using action abstraction to evolve effective controllers. [Citation Graph (, )][DBLP]


  236. Evolved neural fields applied to the stability problem of a simple biped walking model. [Citation Graph (, )][DBLP]


  237. Evaluating the evolvability of emergent agents with different numbers of states. [Citation Graph (, )][DBLP]


  238. FUGA: a fuzzy-genetic analog circuit optimization kernel. [Citation Graph (, )][DBLP]


  239. Visualising random boolean network dynamics. [Citation Graph (, )][DBLP]


  240. Multiple sequence alignment using evolutionary algorithms. [Citation Graph (, )][DBLP]


  241. Environmental noise improves epistasis models of genetic data discovered using a computational evolution system. [Citation Graph (, )][DBLP]


  242. Computer simulation on the maternal effect dominant embryonic arrest (MEDEA) for disease vector population replacement. [Citation Graph (, )][DBLP]


  243. Creating regular expressions as mRNA motifs with GP to predict human exon splitting. [Citation Graph (, )][DBLP]


  244. Parallel particle swarm optimization applied to the protein folding problem. [Citation Graph (, )][DBLP]


  245. MOCEA: a multi-objective clustering evolutionary algorithm for inferring protein-protein functional interactions. [Citation Graph (, )][DBLP]


  246. Control of the number of random imigrants in genetic algorithms for protein structure prediction. [Citation Graph (, )][DBLP]


  247. Competitive simulated annealing and Tabu Search algorithms for the max-cut problem. [Citation Graph (, )][DBLP]


  248. Do not choose representation just change: an experimental study in states based EA. [Citation Graph (, )][DBLP]


  249. Metaheuristics for graph bisection. [Citation Graph (, )][DBLP]


  250. Solving the linear ordering problem using ant models. [Citation Graph (, )][DBLP]


  251. Evolutionary codings and operators for the terminal assignment problem. [Citation Graph (, )][DBLP]


  252. A novel quantum-inspired evolutionary algorithm for solving combinatorial optimization problems. [Citation Graph (, )][DBLP]


  253. Crossover operators for multiobjective k-subset selection. [Citation Graph (, )][DBLP]


  254. A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems. [Citation Graph (, )][DBLP]


  255. A search space analysis for the waste collection vehicle routing problem with time windows. [Citation Graph (, )][DBLP]


  256. A multipopulation cultural algorithm based on genetic algorithm for the MKP. [Citation Graph (, )][DBLP]


  257. Estimation of particle swarm distribution algorithms: bringing together the strengths of PSO and EDAs. [Citation Graph (, )][DBLP]


  258. A new method for linkage learning in the ECGA. [Citation Graph (, )][DBLP]


  259. SGMIEC: using selfish gene theory to construct mutualinformation and entropy based cluster for optimization. [Citation Graph (, )][DBLP]


  260. Modulation of multi-level evolutionary strategies for artificial cognition. [Citation Graph (, )][DBLP]


  261. A fuzzy inference system-inspired influence function for the cultural algorithm with evolutionary programming applied to real-valued function optimization. [Citation Graph (, )][DBLP]


  262. Adaptive evolution: an efficient heuristic for global optimization. [Citation Graph (, )][DBLP]


  263. Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problem. [Citation Graph (, )][DBLP]


  264. Single-objective and multi-objective formulations of solution selection for hypervolume maximization. [Citation Graph (, )][DBLP]


  265. A benchmark for quality indicators in multi-objective optimization. [Citation Graph (, )][DBLP]


  266. Video encoder optimization via evolutionary multiobjective optimization algorithms. [Citation Graph (, )][DBLP]


  267. An improved secondary ranking for many objective optimization problems. [Citation Graph (, )][DBLP]


  268. Development of combinational circuits using non-uniform cellular automata: initial results. [Citation Graph (, )][DBLP]


  269. On the performance of some bioinspired genetic operators in complex structures evolution. [Citation Graph (, )][DBLP]


  270. When and why development is needed: generative and developmental systems. [Citation Graph (, )][DBLP]


  271. GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiation. [Citation Graph (, )][DBLP]


  272. Expectation maximization enhancement with evolutionstrategy for stochastic ontology mapping. [Citation Graph (, )][DBLP]


  273. A population scheme using cellular automata, cambrian explosions and massive extinctions. [Citation Graph (, )][DBLP]


  274. Elitism, fitness, and growth. [Citation Graph (, )][DBLP]


  275. On the detection of general problem structures by using inductive linkage identification. [Citation Graph (, )][DBLP]


  276. Analysis on topologies of fitness landscapes with both neutrality and ruggedness based on neutral networks. [Citation Graph (, )][DBLP]


  277. Effect of degree distribution on evolutionary search. [Citation Graph (, )][DBLP]


  278. A genetic algorithm with local map for path planning in dynamic environments. [Citation Graph (, )][DBLP]


  279. Avoiding the pitfalls of noisy fitness functions with genetic algorithms. [Citation Graph (, )][DBLP]


  280. Hybrid evolutionary algorithms for large scale continuous problems. [Citation Graph (, )][DBLP]


  281. Genetic algorithm with adaptive elitism-based immigrants for dynamic optimization problems. [Citation Graph (, )][DBLP]


  282. The effect of vesicular selection in dynamic environments. [Citation Graph (, )][DBLP]


  283. Co-evolvability of games in coevolutionary genetic algorithms. [Citation Graph (, )][DBLP]


  284. SRaDE: an adaptive differential evolution based on stochastic ranking. [Citation Graph (, )][DBLP]


  285. Futility-based offspring sizing. [Citation Graph (, )][DBLP]


  286. Cooperative and decomposable approaches on royal road functions: overcoming the random mutation hill-climber. [Citation Graph (, )][DBLP]


  287. Limitations of the fitness-proportional negative slope coefficient as a difficulty measure. [Citation Graph (, )][DBLP]


  288. An improved small-sample statistical test for comparing the success rates of evolutionary algorithms. [Citation Graph (, )][DBLP]


  289. Structural and nodal mutation in grammatical evolution. [Citation Graph (, )][DBLP]


  290. An evolutionary approach to feature function generation in application to biomedical image patterns. [Citation Graph (, )][DBLP]


  291. Towards identifying salient patterns in genetic programming individuals. [Citation Graph (, )][DBLP]


  292. Evolution of a local boundary detector for natural images via genetic programming and texture cues. [Citation Graph (, )][DBLP]


  293. Formal verification to enhance evolution of protocols. [Citation Graph (, )][DBLP]


  294. Evolving java objects using a grammar-based approach. [Citation Graph (, )][DBLP]


  295. Bloat control in genetic programming by evaluating contribution of nodes. [Citation Graph (, )][DBLP]


  296. Variable size population for dynamic optimization with genetic programming. [Citation Graph (, )][DBLP]


  297. Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangement. [Citation Graph (, )][DBLP]


  298. The relationship between evolvability and bloat. [Citation Graph (, )][DBLP]


  299. Benchmarking coevolutionary teaming under classification problems with large attribute spaces. [Citation Graph (, )][DBLP]


  300. On the evolution of neural networks for pairwise classification using gene expression programming. [Citation Graph (, )][DBLP]


  301. Exploiting multiple classifier types with active learning. [Citation Graph (, )][DBLP]


  302. EMO shines a light on the holes of complexity space. [Citation Graph (, )][DBLP]


  303. Evolutionary-class independent LDA as a pre-process for improving classification. [Citation Graph (, )][DBLP]


  304. Binary representation in gene expression programming: towards a better scalability. [Citation Graph (, )][DBLP]


  305. Evolutionary clustering with arbitrary subspaces. [Citation Graph (, )][DBLP]


  306. Are evolutionary rule learning algorithms appropriate for malware detection? [Citation Graph (, )][DBLP]


  307. Ranking association rules for classification based on genetic network programming. [Citation Graph (, )][DBLP]


  308. Interval island model initialization for permutation-based problems. [Citation Graph (, )][DBLP]


  309. Automatic detection of software defects: an industrial experience. [Citation Graph (, )][DBLP]


  310. Alternative voting systems in stock car racing. [Citation Graph (, )][DBLP]


  311. An evolutionary approach to underwater sensor deployment. [Citation Graph (, )][DBLP]


  312. Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II. [Citation Graph (, )][DBLP]


  313. An evolutionary approach to planning IEEE 802.16 networks. [Citation Graph (, )][DBLP]


  314. Optimal designs of ambiguous mobile keypad with alphabetical constraints. [Citation Graph (, )][DBLP]


  315. Finding attractive rules in stock markets using a modular genetic programming. [Citation Graph (, )][DBLP]


  316. Data mining of non-dominated solutions using proper orthogonal decomposition. [Citation Graph (, )][DBLP]


  317. Evolutionary maximum likelihood image compression. [Citation Graph (, )][DBLP]


  318. Evolution of hyperheuristics for the biobjective graph coloring problem using multiobjective genetic programming. [Citation Graph (, )][DBLP]


  319. An evolutionary approach to constructive induction for link discovery. [Citation Graph (, )][DBLP]


  320. Evolutionary functional testing of continuous control systems. [Citation Graph (, )][DBLP]


  321. Multi objective higher order mutation testing with GP. [Citation Graph (, )][DBLP]


  322. TestFul: using a hybrid evolutionary algorithm for testing stateful systems. [Citation Graph (, )][DBLP]


  323. An adaptive strategy for improving the performance of genetic programming-based approaches to evolutionary testing. [Citation Graph (, )][DBLP]


  324. Optimal robust expensive optimization is tractable. [Citation Graph (, )][DBLP]

NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002