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Conferences in DBLP

Genetic and Evolutionary Computation Conference (GECCO) (gecco)
2008 (conf/gecco/2008)


  1. Criticality dispersion in swarms to optimize n-tuples. [Citation Graph (, )][DBLP]


  2. Multivariate ant colony optimization in continuous search spaces. [Citation Graph (, )][DBLP]


  3. Swarm intelligence in e-learning: a learning object sequencing agent based on competencies. [Citation Graph (, )][DBLP]


  4. Scaling ant colony optimization with hierarchical reinforcement learning partitioning. [Citation Graph (, )][DBLP]


  5. A multi-objective ant colony approach for pareto-optimization using dynamic programming. [Citation Graph (, )][DBLP]


  6. Collective intelligence and bush fire spotting. [Citation Graph (, )][DBLP]


  7. Social interaction in particle swarm optimization, the ranked FIPS, and adaptive multi-swarms. [Citation Graph (, )][DBLP]


  8. Particle filtering with particle swarm optimization in systems with multiplicative noise. [Citation Graph (, )][DBLP]


  9. A sense of danger: dendritic cells inspired artificial immune system for manet security. [Citation Graph (, )][DBLP]


  10. Convergence behavior of the fully informed particle swarm optimization algorithm. [Citation Graph (, )][DBLP]


  11. Denial of service detection and analysis using idiotypic networks paradigm. [Citation Graph (, )][DBLP]


  12. A new quantum behaved particle swarm optimization. [Citation Graph (, )][DBLP]


  13. Theoretical and empirical study of particle swarms with additive stochasticity and different recombination operators. [Citation Graph (, )][DBLP]


  14. A formal performance modeling framework for bio-inspired ad hoc routing protocols. [Citation Graph (, )][DBLP]


  15. Enhanced generalized ant programming (EGAP). [Citation Graph (, )][DBLP]


  16. Improving accuracy of immune-inspired malware detectors by using intelligent features. [Citation Graph (, )][DBLP]


  17. Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions. [Citation Graph (, )][DBLP]


  18. Runtime analysis of binary PSO. [Citation Graph (, )][DBLP]


  19. Evolutionary swarm design of architectural idea models. [Citation Graph (, )][DBLP]


  20. Optimizing task schedules using an artificial immune system approach. [Citation Graph (, )][DBLP]


  21. Particle swarm clustering ensemble. [Citation Graph (, )][DBLP]


  22. Attack analysis & bio-inspired security framework for IP multimedia subsystem. [Citation Graph (, )][DBLP]


  23. Heterogeneous sensitive ant model for combinatorial optimization. [Citation Graph (, )][DBLP]


  24. Allocation of local and global search capabilities of particle in canonical PSO. [Citation Graph (, )][DBLP]


  25. Magnifier particle swarm optimization for numerical optimization. [Citation Graph (, )][DBLP]


  26. Modeling ant colony foraging in dynamic and confined environment. [Citation Graph (, )][DBLP]


  27. Evolving cooperative control on sparsely distributed tasks for UAV teams without global communication. [Citation Graph (, )][DBLP]


  28. Selection for group-level efficiency leads to self-regulation of population size. [Citation Graph (, )][DBLP]


  29. On hopeful monsters, neutral networks and junk code in evolving L-systems. [Citation Graph (, )][DBLP]


  30. Multi-agent task allocation: learning when to say no. [Citation Graph (, )][DBLP]


  31. On the evolution of motility and intelligent tactic response. [Citation Graph (, )][DBLP]


  32. Cooperative network construction using digital germlines. [Citation Graph (, )][DBLP]


  33. Neuro-evolution for a gathering and collective construction task. [Citation Graph (, )][DBLP]


  34. Designing multi-rover emergent specialization. [Citation Graph (, )][DBLP]


  35. The influence of scaling and assortativity on takeover times in scale-free topologies. [Citation Graph (, )][DBLP]


  36. A multi-scaled approach to artificial life simulation with P systems and dissipative particle dynamics. [Citation Graph (, )][DBLP]


  37. Co-evolution of active sensing and locomotion gaits of simulated snake-like robot. [Citation Graph (, )][DBLP]


  38. Modular neuroevolution for multilegged locomotion. [Citation Graph (, )][DBLP]


  39. Individual-based artificial ecosystems for design and optimization. [Citation Graph (, )][DBLP]


  40. Genetic algorithms and grid computing for artificial embryogeny. [Citation Graph (, )][DBLP]


  41. Evolving stable behavior in a spino-neuromuscular system model. [Citation Graph (, )][DBLP]


  42. Nested evolution of an autonomous agent using descriptive encoding. [Citation Graph (, )][DBLP]


  43. Towards efficient evolution of morphology and control. [Citation Graph (, )][DBLP]


  44. Reconfigurable analogue hardware evolution of adaptive spiking neural network controllers. [Citation Graph (, )][DBLP]


  45. EIN-WUM: an AIS-based algorithm for web usage mining. [Citation Graph (, )][DBLP]


  46. Genetic programming based automatic gait generation for quadruped robots. [Citation Graph (, )][DBLP]


  47. A GP algorithm for efficient synthesis of GM-C filters on a hexagonal FPAA structure. [Citation Graph (, )][DBLP]


  48. Behavior-based speciation for evolutionary robotics. [Citation Graph (, )][DBLP]


  49. Rapid evaluation and evolution of neural models using graphics card hardware. [Citation Graph (, )][DBLP]


  50. Evolution of discrete gene regulatory models. [Citation Graph (, )][DBLP]


  51. An efficient probabilistic population-based descent for the median genome problem. [Citation Graph (, )][DBLP]


  52. Finding consensus trees by evolutionary, variable neighborhood search, and hybrid algorithms. [Citation Graph (, )][DBLP]


  53. Structure and parameter estimation for cell systems biology models. [Citation Graph (, )][DBLP]


  54. Mask functions for the symbolic modeling of epistasis using genetic programming. [Citation Graph (, )][DBLP]


  55. Protein-protein functional association prediction using genetic programming. [Citation Graph (, )][DBLP]


  56. Warping search: a new metaheuristic applied to the protein structure prediction. [Citation Graph (, )][DBLP]


  57. Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming. [Citation Graph (, )][DBLP]


  58. A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. [Citation Graph (, )][DBLP]


  59. Fitnessless coevolution. [Citation Graph (, )][DBLP]


  60. Managing team-based problem solving with symbiotic bid-based genetic programming. [Citation Graph (, )][DBLP]


  61. A no-free-lunch framework for coevolution. [Citation Graph (, )][DBLP]


  62. An empirical comparison of evolution and coevolution for designing artificial neural network game players. [Citation Graph (, )][DBLP]


  63. Co-optimization algorithms. [Citation Graph (, )][DBLP]


  64. A coevolution archive based on problem dimension. [Citation Graph (, )][DBLP]


  65. On the effectiveness of distributions estimated by probabilistic model building. [Citation Graph (, )][DBLP]


  66. UMDAs for dynamic optimization problems. [Citation Graph (, )][DBLP]


  67. Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions. [Citation Graph (, )][DBLP]


  68. Using previous models to bias structural learning in the hierarchical BOA. [Citation Graph (, )][DBLP]


  69. Going for the big fishes: discovering and combining large neutral and massively multimodal building-blocks with model based macro-mutation. [Citation Graph (, )][DBLP]


  70. From mating pool distributions to model overfitting. [Citation Graph (, )][DBLP]


  71. Investigating restricted tournament replacement in ECGA for non-stationary environments. [Citation Graph (, )][DBLP]


  72. Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. [Citation Graph (, )][DBLP]


  73. iBOA: the incremental bayesian optimization algorithm. [Citation Graph (, )][DBLP]


  74. An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. [Citation Graph (, )][DBLP]


  75. Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. [Citation Graph (, )][DBLP]


  76. Improving the efficiency of the extended compact genetic algorithm. [Citation Graph (, )][DBLP]


  77. An estimation distribution algorithm with the spearman's rank correlation index. [Citation Graph (, )][DBLP]


  78. Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategy. [Citation Graph (, )][DBLP]


  79. The directional EDA for global optimization. [Citation Graph (, )][DBLP]


  80. An EDA based on local markov property and gibbs sampling. [Citation Graph (, )][DBLP]


  81. Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution. [Citation Graph (, )][DBLP]


  82. Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. [Citation Graph (, )][DBLP]


  83. Mutative sigma-self-adaptation can beat cumulative step size adaptation when using weighted recombination. [Citation Graph (, )][DBLP]


  84. Application domain study of evolutionary algorithms in optimization problems. [Citation Graph (, )][DBLP]


  85. Aiming for a theoretically tractable CSA variant by means of empirical investigations. [Citation Graph (, )][DBLP]


  86. Why noise may be good: additive noise on the sharp ridge. [Citation Graph (, )][DBLP]


  87. Performance analysis of derandomized evolution strategies in quantum control experiments. [Citation Graph (, )][DBLP]


  88. Non-monotone differential evolution. [Citation Graph (, )][DBLP]


  89. A comparison of speciation, extinction, and complexification in neuroevolution with and without selection pressure. [Citation Graph (, )][DBLP]


  90. A hybrid method for tuning neural network for time series forecasting. [Citation Graph (, )][DBLP]


  91. Maintaining population diversity by maintaining family structures. [Citation Graph (, )][DBLP]


  92. Multiobjective evolution of a fuzzy controller in a sewage treatment plant. [Citation Graph (, )][DBLP]


  93. Levy walk evolution for global optimization. [Citation Graph (, )][DBLP]


  94. Crossover can provably be useful in evolutionary computation. [Citation Graph (, )][DBLP]


  95. Enhancing solution quality of the biobjective graph coloring problem using hybridization of EA: biobjective graph coloring problem. [Citation Graph (, )][DBLP]


  96. A study of NK landscapes' basins and local optima networks. [Citation Graph (, )][DBLP]


  97. Orientation matters: how to efficiently solve ocst problems with problem-specific EAs. [Citation Graph (, )][DBLP]


  98. Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. [Citation Graph (, )][DBLP]


  99. An iterated greedy algorithm for the node placement problem in bidirectional Manhattan street networks. [Citation Graph (, )][DBLP]


  100. Understanding elementary landscapes. [Citation Graph (, )][DBLP]


  101. Feasibility-preserving crossover for maximum k-coverage problem. [Citation Graph (, )][DBLP]


  102. Distributed problem solving by memetic networks: extended abstract. [Citation Graph (, )][DBLP]


  103. Evolving heuristics with genetic programming. [Citation Graph (, )][DBLP]


  104. A parallel evolutionary algorithm for unconstrained binary quadratic problems. [Citation Graph (, )][DBLP]


  105. A Tabu history driven crossover operator design for memetic algorithm applied to Max-2SAT-problems. [Citation Graph (, )][DBLP]


  106. An evolutionary algorithm for some cases of the single-source constrained plant location problem. [Citation Graph (, )][DBLP]


  107. Subheuristic search and scalability in a hyperheuristic. [Citation Graph (, )][DBLP]


  108. Greedy heuristics and evolutionary algorithms for the bounded minimum-label spanning tree problem. [Citation Graph (, )][DBLP]


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


  110. Complexity of Max-SAT using stochastic algorithms. [Citation Graph (, )][DBLP]


  111. Embedded evolutionary multi-objective optimization for worst case robustness. [Citation Graph (, )][DBLP]


  112. Graph partitioning through a multi-objective evolutionary algorithm: a preliminary study. [Citation Graph (, )][DBLP]


  113. A robust evolutionary framework for multi-objective optimization. [Citation Graph (, )][DBLP]


  114. Benefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimization. [Citation Graph (, )][DBLP]


  115. Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems. [Citation Graph (, )][DBLP]


  116. Hybrid genetic algorithm for dynamic multi-objective route planning with predicted traffic in a real-world road network. [Citation Graph (, )][DBLP]


  117. G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets. [Citation Graph (, )][DBLP]


  118. Objective reduction using a feature selection technique. [Citation Graph (, )][DBLP]


  119. Pareto analysis for the selection of classifier ensembles. [Citation Graph (, )][DBLP]


  120. Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm. [Citation Graph (, )][DBLP]


  121. Reference point based multi-objective evolutionary algorithms for group decisions. [Citation Graph (, )][DBLP]


  122. A new memetic strategy for the numerical treatment of multi-objective optimization problems. [Citation Graph (, )][DBLP]


  123. Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. [Citation Graph (, )][DBLP]


  124. A pareto following variation operator for fast-converging multiobjective evolutionary algorithms. [Citation Graph (, )][DBLP]


  125. AMGA: an archive-based micro genetic algorithm for multi-objective optimization. [Citation Graph (, )][DBLP]


  126. Pattern identification in pareto-set approximations. [Citation Graph (, )][DBLP]


  127. Integrating user preferences with particle swarms for multi-objective optimization. [Citation Graph (, )][DBLP]


  128. Solving constrained multi-objective problems by objective space analysis. [Citation Graph (, )][DBLP]


  129. Testing parallelization paradigms for MOEAs. [Citation Graph (, )][DBLP]


  130. Parallel hyperheuristic: a self-adaptive island-based model for multi-objective optimization. [Citation Graph (, )][DBLP]


  131. On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms. [Citation Graph (, )][DBLP]


  132. Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search. [Citation Graph (, )][DBLP]


  133. Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems. [Citation Graph (, )][DBLP]


  134. Single-objective front optimization: application to rf circuit design. [Citation Graph (, )][DBLP]


  135. A novel approach to route selection in car navigation systems by a multiobjective genetic algorithm. [Citation Graph (, )][DBLP]


  136. Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization. [Citation Graph (, )][DBLP]


  137. Precision, local search and unimodal functions. [Citation Graph (, )][DBLP]


  138. Computing minimum cuts by randomized search heuristics. [Citation Graph (, )][DBLP]


  139. Memetic algorithms with variable-depth search to overcome local optima. [Citation Graph (, )][DBLP]


  140. A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes. [Citation Graph (, )][DBLP]


  141. Simulated annealing, its parameter settings and the longest common subsequence problem. [Citation Graph (, )][DBLP]


  142. Focused no free lunch theorems. [Citation Graph (, )][DBLP]


  143. Generative encoding for multiagent learning. [Citation Graph (, )][DBLP]


  144. Evolutionary design of dynamic SwarmScapes. [Citation Graph (, )][DBLP]


  145. An evolvability-enhanced artificial embryogeny for generating network structures. [Citation Graph (, )][DBLP]


  146. Measures of complexity for artificial embryogeny. [Citation Graph (, )][DBLP]


  147. A cellular model for the evolutionary development of lightweight material with an inner structure. [Citation Graph (, )][DBLP]


  148. Phenotypic, developmental and computational resources: scaling in artificial development. [Citation Graph (, )][DBLP]


  149. How generative encodings fare on less regular problems. [Citation Graph (, )][DBLP]


  150. Unsupervised learning of echo state networks: balancing the double pole. [Citation Graph (, )][DBLP]


  151. Growth control and disease mechanisms in computational embryogeny. [Citation Graph (, )][DBLP]


  152. A tree-based GA representation for the portfolio optimization problem. [Citation Graph (, )][DBLP]


  153. Search space reduction technique for constrained optimization with tiny feasible space. [Citation Graph (, )][DBLP]


  154. In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm. [Citation Graph (, )][DBLP]


  155. An enhanced statistical approach for evolutionary algorithm comparison. [Citation Graph (, )][DBLP]


  156. Rank based variation operators for genetic algorithms. [Citation Graph (, )][DBLP]


  157. Adaptive operator selection with dynamic multi-armed bandits. [Citation Graph (, )][DBLP]


  158. An asynchronous hybrid genetic-simplex search for modeling the Milky Way galaxy using volunteer computing. [Citation Graph (, )][DBLP]


  159. Comparing global and local mutations on bit strings. [Citation Graph (, )][DBLP]


  160. A self-organized criticality mutation operator for dynamic optimization problems. [Citation Graph (, )][DBLP]


  161. Theoretical analysis of diversity mechanisms for global exploration. [Citation Graph (, )][DBLP]


  162. Rigorous analyses of fitness-proportional selection for optimizing linear functions. [Citation Graph (, )][DBLP]


  163. On selecting the best individual in noisy environments. [Citation Graph (, )][DBLP]


  164. The node-depth encoding: analysis and application to the bounded-diameter minimum spanning tree problem. [Citation Graph (, )][DBLP]


  165. Adaptive discretization on multidimensional continuous search spaces. [Citation Graph (, )][DBLP]


  166. Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. [Citation Graph (, )][DBLP]


  167. Voronoi-initializated island models for solving real-coded deceptive problems. [Citation Graph (, )][DBLP]


  168. Theoretical analysis of genetic algorithms in noisy environments based on a Markov Model. [Citation Graph (, )][DBLP]


  169. Theory of the simple genetic algorithm with alpha-selection. [Citation Graph (, )][DBLP]


  170. Non-genetic transmission of memes by diffusion. [Citation Graph (, )][DBLP]


  171. Dual-population genetic algorithm for nonstationary optimization. [Citation Graph (, )][DBLP]


  172. Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes. [Citation Graph (, )][DBLP]


  173. A transformation-based approach to static multiprocessor scheduling. [Citation Graph (, )][DBLP]


  174. ASAGA: an adaptive surrogate-assisted genetic algorithm. [Citation Graph (, )][DBLP]


  175. CrossNet: a framework for crossover with network-based chromosomal representations. [Citation Graph (, )][DBLP]


  176. Adapting palettes to color vision deficiencies by genetic algorithm. [Citation Graph (, )][DBLP]


  177. Empirical investigations on parallel competent genetic algorithms. [Citation Graph (, )][DBLP]


  178. Strategic positioning in tactical scenario planning. [Citation Graph (, )][DBLP]


  179. Optimal sampling of genetic algorithms on polynomial regression. [Citation Graph (, )][DBLP]


  180. Genetic algorithms with local search optimization for protein structure prediction problem. [Citation Graph (, )][DBLP]


  181. Cryptanalysis using genetic algorithms. [Citation Graph (, )][DBLP]


  182. Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata. [Citation Graph (, )][DBLP]


  183. Evolving machine microprograms. [Citation Graph (, )][DBLP]


  184. The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. [Citation Graph (, )][DBLP]


  185. Analysis of the performance of genetic multi-step search in interpolation and extrapolation domain. [Citation Graph (, )][DBLP]


  186. Learning offspring optimizing mate selection. [Citation Graph (, )][DBLP]


  187. Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study. [Citation Graph (, )][DBLP]


  188. Deriving evaluation metrics for applicability of genetic algorithms to optimization problems. [Citation Graph (, )][DBLP]


  189. Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual. [Citation Graph (, )][DBLP]


  190. Linear transformation in Pseudo-Boolean functions. [Citation Graph (, )][DBLP]


  191. Using multiple offspring sampling to guide genetic algorithms to solve permutation problems. [Citation Graph (, )][DBLP]


  192. Optinformatics for schema analysis of binary genetic algorithms. [Citation Graph (, )][DBLP]


  193. A practical search index and population size analysis based on the building block hypothesis. [Citation Graph (, )][DBLP]


  194. The micro-genetic operator in the search of global trends. [Citation Graph (, )][DBLP]


  195. Maintaining diversity through adaptive selection, crossover and mutation. [Citation Graph (, )][DBLP]


  196. Using PCA to improve evolutionary cellular automata algorithms. [Citation Graph (, )][DBLP]


  197. Comparing genetic algorithm and guided local search methods by symmetric TSP instances. [Citation Graph (, )][DBLP]


  198. Parameter-less evolutionary search. [Citation Graph (, )][DBLP]


  199. Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins. [Citation Graph (, )][DBLP]


  200. Community detection in social networks with genetic algorithms. [Citation Graph (, )][DBLP]


  201. Solving discrete deceptive problems with EMMRS. [Citation Graph (, )][DBLP]


  202. Genetic algorithms for self-spreading nodes in MANETs. [Citation Graph (, )][DBLP]


  203. Improving small population performance under noise with viral infection + tropism. [Citation Graph (, )][DBLP]


  204. Image registration using genetic algorithms. [Citation Graph (, )][DBLP]


  205. Is "best-so-far" a good algorithmic performance metric? [Citation Graph (, )][DBLP]


  206. Coordinate change operators for genetic algorithms. [Citation Graph (, )][DBLP]


  207. Modularity and symmetry in computational embryogeny. [Citation Graph (, )][DBLP]


  208. Comparing genetic algorithms to principal component analysis and linear discriminant analysis in reducing feature dimensionality for speaker recognition. [Citation Graph (, )][DBLP]


  209. Learning to recognise mental activities: genetic programming of stateful classifiers for brain-computer interfacing. [Citation Graph (, )][DBLP]


  210. On the genetic programming of time-series predictors for supply chain management. [Citation Graph (, )][DBLP]


  211. Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification. [Citation Graph (, )][DBLP]


  212. Automated shape composition based on cell biology and distributed genetic programming. [Citation Graph (, )][DBLP]


  213. Genetic programming with polymorphic types and higher-order functions. [Citation Graph (, )][DBLP]


  214. Using differential evolution for symbolic regression and numerical constant creation. [Citation Graph (, )][DBLP]


  215. Accelerating genetic programming by frequent subtree mining. [Citation Graph (, )][DBLP]


  216. Evolutionary lossless compression with GP-ZIP*. [Citation Graph (, )][DBLP]


  217. Advanced techniques for the creation and propagation of modules in cartesian genetic programming. [Citation Graph (, )][DBLP]


  218. Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programming. [Citation Graph (, )][DBLP]


  219. Memory with memory: soft assignment in genetic programming. [Citation Graph (, )][DBLP]


  220. Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks. [Citation Graph (, )][DBLP]


  221. Exploiting the path of least resistance in evolution. [Citation Graph (, )][DBLP]


  222. Analysis of a genetic programming algorithm for association studies. [Citation Graph (, )][DBLP]


  223. Parsimony pressure made easy. [Citation Graph (, )][DBLP]


  224. The impact of population size on code growth in GP: analysis and empirical validation. [Citation Graph (, )][DBLP]


  225. Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation. [Citation Graph (, )][DBLP]


  226. Genetic programming for finite algebras. [Citation Graph (, )][DBLP]


  227. Multiobjective design of operators that detect points of interest in images. [Citation Graph (, )][DBLP]


  228. A genetic programming approach to business process mining. [Citation Graph (, )][DBLP]


  229. Rapid prediction of optimum population size in genetic programming using a novel genotype -: fitness correlation. [Citation Graph (, )][DBLP]


  230. An analysis of multi-sampled issue and no-replacement tournament selection. [Citation Graph (, )][DBLP]


  231. Generalization performance of vision based controllers for mobile robots evolved with genetic programming. [Citation Graph (, )][DBLP]


  232. Combining cartesian genetic programming with an estimation of distribution algorithm. [Citation Graph (, )][DBLP]


  233. A formulation for the relative permittivity of water and steam to high temperatures and pressures evolved using genetic programming. [Citation Graph (, )][DBLP]


  234. Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio ka/ks. [Citation Graph (, )][DBLP]


  235. TREAD: a new genetic programming representation aimed at research of long term complexity growth. [Citation Graph (, )][DBLP]


  236. Stress-based crossover operator for structure topology optimization using small population size and variable length chromosome. [Citation Graph (, )][DBLP]


  237. Elitism reduces bloat in genetic programming. [Citation Graph (, )][DBLP]


  238. A swarm-based crossover operator for genetic programming. [Citation Graph (, )][DBLP]


  239. Experiments with indexed FOR-loops in genetic programming. [Citation Graph (, )][DBLP]


  240. An analysis of matching in learning classifier systems. [Citation Graph (, )][DBLP]


  241. Context-dependent predictions and cognitive arm control with XCSF. [Citation Graph (, )][DBLP]


  242. Self-adaptive mutation in XCSF. [Citation Graph (, )][DBLP]


  243. An efficient SVM-GA feature selection model for large healthcare databases. [Citation Graph (, )][DBLP]


  244. Genetic-guided semi-supervised clustering algorithm with instance-level constraints. [Citation Graph (, )][DBLP]


  245. Self-adaptive constructivism in Neural XCS and XCSF. [Citation Graph (, )][DBLP]


  246. Accelerating neuroevolutionary methods using a Kalman filter. [Citation Graph (, )][DBLP]


  247. Evolving neural networks for fractured domains. [Citation Graph (, )][DBLP]


  248. Hierarchical evolution of linear regressors. [Citation Graph (, )][DBLP]


  249. Fast rule representation for continuous attributes in genetics-based machine learning. [Citation Graph (, )][DBLP]


  250. Overfitting in the selection of classifier ensembles: a comparative study between PSO and GA. [Citation Graph (, )][DBLP]


  251. Towards efficient online reinforcement learning using neuroevolution. [Citation Graph (, )][DBLP]


  252. Genetic local search for rule learning. [Citation Graph (, )][DBLP]


  253. Imitation-based evolution of artificial players in modern computer games. [Citation Graph (, )][DBLP]


  254. Real-time imitation-based adaptation of gaming behaviour in modern computer games. [Citation Graph (, )][DBLP]


  255. A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions. [Citation Graph (, )][DBLP]


  256. Fine-grained population diversity estimation for genetic programming based structure identification. [Citation Graph (, )][DBLP]


  257. Computational scenario-based capability planning. [Citation Graph (, )][DBLP]


  258. Design of fractional order PIlambdaDµ controllers with an improved differential evolution. [Citation Graph (, )][DBLP]


  259. Evolving similarity functions for code plagiarism detection. [Citation Graph (, )][DBLP]


  260. The gene regulatory network: an application to optimal coverage in sensor networks. [Citation Graph (, )][DBLP]


  261. Genetic algorithms for mentor-assisted evaluation function optimization. [Citation Graph (, )][DBLP]


  262. Evolutionary path planner for UAVs in realistic environments. [Citation Graph (, )][DBLP]


  263. EFIT-V -: interactive evolutionary strategy for the construction of photo-realistic facial composites. [Citation Graph (, )][DBLP]


  264. Discovering performance bounds for grid scheduling by using evolutionary multiobjective optimization. [Citation Graph (, )][DBLP]


  265. 3-D path planning for the navigation of unmanned aerial vehicles by using evolutionary algorithms. [Citation Graph (, )][DBLP]


  266. Multiobjective robustness for portfolio optimization in volatile environments. [Citation Graph (, )][DBLP]


  267. Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems. [Citation Graph (, )][DBLP]


  268. Fault tolerant control using Cartesian genetic programming. [Citation Graph (, )][DBLP]


  269. Eye on the prize: using overt visual attention to drive fitness for interactive evolutionary computation. [Citation Graph (, )][DBLP]


  270. An evolutionary design technique for collective communications on optimal diameter-degree networks. [Citation Graph (, )][DBLP]


  271. Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management. [Citation Graph (, )][DBLP]


  272. Evolutionary algorithms for automated drug design towards target molecule properties. [Citation Graph (, )][DBLP]


  273. Using coevolution to understand and validate game balance in continuous games. [Citation Graph (, )][DBLP]


  274. MLS security policy evolution with genetic programming. [Citation Graph (, )][DBLP]


  275. Metaheuristics for solving a real-world frequency assignment problem in GSM networks. [Citation Graph (, )][DBLP]


  276. Optimizing hierarchical menus by genetic algorithm and simulated annealing. [Citation Graph (, )][DBLP]


  277. Multi-resistant radar jamming using genetic algorithms. [Citation Graph (, )][DBLP]


  278. Genetic algorithms and the abc music notation language for rock music composition. [Citation Graph (, )][DBLP]


  279. Efficiency optimization of a multi-pump booster system. [Citation Graph (, )][DBLP]


  280. Estimation of pump-curves using genetic algorithms. [Citation Graph (, )][DBLP]


  281. VoIP speech quality estimation in a mixed context with genetic programming. [Citation Graph (, )][DBLP]


  282. Speeding online synthesis via enforced selecto-recombination. [Citation Graph (, )][DBLP]


  283. Branch predictor on-line evolutionary system. [Citation Graph (, )][DBLP]


  284. Robust method of detecting moving objects in videos evolved by genetic programming. [Citation Graph (, )][DBLP]


  285. An analysis of adaptive windowing for time series forecasting in dynamic environments: further tests of the DyFor GP model. [Citation Graph (, )][DBLP]


  286. GP age-layer and crossover effects in bid-offer spread prediction. [Citation Graph (, )][DBLP]


  287. Combatting financial fraud: a coevolutionary anomaly detection approach. [Citation Graph (, )][DBLP]


  288. Learning to optimize profits beats predicting returns -: comparing techniques for financial portfolio optimisation. [Citation Graph (, )][DBLP]


  289. The study for transportation planning considered the inventory using hybrid genetic algorithm. [Citation Graph (, )][DBLP]


  290. On the partitioning of dynamic scheduling problems -: assigning technicians to areas. [Citation Graph (, )][DBLP]


  291. Construction of portfolio optimization system using genetic network programming with control nodes. [Citation Graph (, )][DBLP]


  292. Automatic circle detection on images with an adaptive bacterial foraging algorithm. [Citation Graph (, )][DBLP]


  293. An evolutionary approach for competency-based curriculum sequencing. [Citation Graph (, )][DBLP]


  294. Evolution strategy based optimization of on-demand dependent data broadcast scheduling. [Citation Graph (, )][DBLP]


  295. Automatic generation of XSLT stylesheets using evolutionary algorithms. [Citation Graph (, )][DBLP]


  296. Genetic algorithm in removing local NURBS surface irregularities using highlight lines. [Citation Graph (, )][DBLP]


  297. Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography. [Citation Graph (, )][DBLP]


  298. Designing a multistage reverse logistics network problem by hybrid genetic algorithm. [Citation Graph (, )][DBLP]


  299. Stock trading strategies by genetic network programming with flag nodes. [Citation Graph (, )][DBLP]


  300. Genetic algorithms and solutions of an interesting differential equation. [Citation Graph (, )][DBLP]


  301. A hybrid system using PSO and data mining for determining the ranking of a new participant in Eurovision. [Citation Graph (, )][DBLP]


  302. Varying portfolio construction of stocks using genetic network programming with control nodes. [Citation Graph (, )][DBLP]


  303. Evolutionary algorithm for decryption of monoalphabetic homophonic substitution ciphers encoded as constraint satisfaction problems. [Citation Graph (, )][DBLP]


  304. IGAP: interactive genetic algorithm peer to peer. [Citation Graph (, )][DBLP]


  305. Dependencies on player formation in event-driven hybrid learning classifier systems for soccer video games. [Citation Graph (, )][DBLP]


  306. A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms. [Citation Graph (, )][DBLP]


  307. Prediction of retention times for a large set of pesticides based on improved gene expression programming. [Citation Graph (, )][DBLP]


  308. Searching for liveness property violations in concurrent systems with ACO. [Citation Graph (, )][DBLP]


  309. Finding deadlocks in large concurrent Java programs using genetic algorithms. [Citation Graph (, )][DBLP]


  310. Empirical analysis of a genetic algorithm-based stress test technique. [Citation Graph (, )][DBLP]


  311. Avida-MDE: a digital evolution approach to generating models of adaptive software behavior. [Citation Graph (, )][DBLP]


  312. Handling dynamic data structures in search based testing. [Citation Graph (, )][DBLP]


  313. Fitness calculation approach for the switch-case construct in evolutionary testing. [Citation Graph (, )][DBLP]


  314. Searching for resource-efficient programs: low-power pseudorandom number generators. [Citation Graph (, )][DBLP]


  315. Strongly-typed genetic programming and purity analysis: input domain reduction for evolutionary testing problems. [Citation Graph (, )][DBLP]


  316. Agent-based support for interactive search in conceptual software engineering design. [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