Conferences in DBLP
Ajith Abraham , Swagatam Das , Amit Konar Kernel based automatic clustering using modified particle swarm optimization algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Enrique Alba , J. Francisco Chicano ACOhg: dealing with huge graphs. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Bird , Xiaodong Li Informative performance metrics for dynamic optimisation problems. [Citation Graph (0, 0)][DBLP ] Conf ] Steve Cayzer , Julie Sullivan Modelling danger and anergy in artificial immune systems. [Citation Graph (0, 0)][DBLP ] Conf ] Benjamin Doerr , Frank Neumann , Dirk Sudholt , Carsten Witt On the runtime analysis of the 1-ANT ACO algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Carlos Fernandes , Agostinho C. Rosa , Vitorino Ramos Binary ant algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Julie Greensmith , Uwe Aickelin Dendritic cells for SYN scan detection. [Citation Graph (0, 0)][DBLP ] Conf ] Ramin Halavati , Saeed Bagheri Shouraki , Mojdeh Jalali Heravi , Bahareh Jafari Jashmi An artificial immune system with partially specified antibodies. [Citation Graph (0, 0)][DBLP ] Conf ] Adnan Ahmed Khan , Muhammad Naeem , Syed Ismail Shah A particle swarm algorithm for symbols detection in wideband spatial multiplexing systems. [Citation Graph (0, 0)][DBLP ] Conf ] Praveen Koduru , Stephen Welch , Sanjoy Das A particle swarm optimization approach for estimating parameter confidence regions. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaodong Li A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio. [Citation Graph (0, 0)][DBLP ] Conf ] Sean Luke , Deepankar Sharma , Gabriel Catalin Balan Finding interesting things. [Citation Graph (0, 0)][DBLP ] Conf ] Francisco Luna , Christian Blum , Enrique Alba , Antonio J. Nebro ACO vs EAs for solving a real-world frequency assignment problem in GSM networks. [Citation Graph (0, 0)][DBLP ] Conf ] Nauman Mazhar , Muddassar Farooq Vulnerability analysis and security framework (BeeSec) for nature inspired MANET routing protocols. [Citation Graph (0, 0)][DBLP ] Conf ] Arvind S. Mohais , Rosemarie Mohais , Christopher Ward , Christian Posthoff Earthquake classifying neural networks trained with random dynamic neighborhood PSOs. [Citation Graph (0, 0)][DBLP ] Conf ] Alberto Moraglio , Julian Togelius Geometric particle swarm optimization for the sudoku puzzle. [Citation Graph (0, 0)][DBLP ] Conf ] Quan-Qe Pan , Mehmet Fatih Tasgetiren , Yun-Chia Liang A discrete differential evolution algorithm for the permutation flowshop scheduling problem. [Citation Graph (0, 0)][DBLP ] Conf ] Riccardo Poli , David Broomhead Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation. [Citation Graph (0, 0)][DBLP ] Conf ] Riccardo Poli , William B. Langdon Markov chain models of bare-bones particle swarm optimizers. [Citation Graph (0, 0)][DBLP ] Conf ] Enda Ridge , Daniel Kudenko Analyzing heuristic performance with response surface models: prediction, optimization and robustness. [Citation Graph (0, 0)][DBLP ] Conf ] Mehmet Fatih Tasgetiren , Ponnuthurai N. Suganthan , Quan-Qe Pan A discrete particle swarm optimization algorithm for the generalized traveling salesman problem. [Citation Graph (0, 0)][DBLP ] Conf ] Aristoklis D. Anastasiadis , George D. Georgoulas , George D. Magoulas , Anthony Tzes Adaptive particle swarm optimizer with nonextensive schedule. [Citation Graph (0, 0)][DBLP ] Conf ] A. Rauf Baig , M. Rashid Honey bee foraging algorithm for multimodal & dynamic optimization problems. [Citation Graph (0, 0)][DBLP ] Conf ] Adrian A. de Freitas , Christopher B. Mayer The effectiveness of dynamic ant colony tuning. [Citation Graph (0, 0)][DBLP ] Conf ] Grazziela Patrocinio Figueredo , Nelson F. F. Ebecken , Helio J. C. Barbosa Suppression based immune mechanism to find arepresentative training set in data classification tasks. [Citation Graph (0, 0)][DBLP ] Conf ] Tao Gong , Andrew Tuson Binary particle swarm optimization: a forma analysis approach. [Citation Graph (0, 0)][DBLP ] Conf ] Xuan H. Nguyen , Quang U. Nguyen , Robert I. McKay PSO with randomized low-discrepancy sequences. [Citation Graph (0, 0)][DBLP ] Conf ] Hoang Thanh Lam , Popova Nina Nicolaevna , Nguyen Thoi Minh Quan A heuristic particle swarm optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Michèle Lavagna Multi-objective pso for interplanetary trajectory design. [Citation Graph (0, 0)][DBLP ] Conf ] Manuel López-Ibáñez , T. Devi Prasad , Ben Paechter Solving optimal pump control problem using max-min ant system. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew W. McNabb , Christopher K. Monson , Kevin D. Seppi MRPSO: MapReduce particle swarm optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Paola Pellegrini , Elena Moretti Quick-and-dirty ant colony optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Sébastien Piccand , Michael O'Neill , Jacqueline Walker Scalability of particle swarm algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Enda Ridge , Daniel Kudenko Screening the parameters affecting heuristic performance. [Citation Graph (0, 0)][DBLP ] Conf ] Andres Romero , Fernando Niño Keyword extraction using an artificial immune system. [Citation Graph (0, 0)][DBLP ] Conf ] M. Zubair Shafiq , Mehrin Kiani , Bisma Hashmi , Muddassar Farooq Extended thymus action for reducing false positives in ais based network intrusion detection systems. [Citation Graph (0, 0)][DBLP ] Conf ] Jan A. Snyman , Schalk Kok A strongly interacting dynamic particle swarm optimizational method. [Citation Graph (0, 0)][DBLP ] Conf ] Robert L. Stewart , Michael Kirley Swarming with logic. [Citation Graph (0, 0)][DBLP ] Conf ] Jiahai Wang , Yalan Zhou Hybrid quantum particle swarm optimization algorithm for combinatorial optimization problem. [Citation Graph (0, 0)][DBLP ] Conf ] Yifeng Zeng , Jorge Cordero H. , Dennis Plougman Buus SwarmArchitect: a swarm framework for collaborative construction. [Citation Graph (0, 0)][DBLP ] Conf ] Xingquan Zuo Robust scheduling method based on workflow simulation model and biological immune principle. [Citation Graph (0, 0)][DBLP ] Conf ] Joachim Becker , Stanis Trendelenburg , Fabian Henrici , Yiannos Manoli Synthesis of analog filters on an evolvable hardware platform using a genetic algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Josh C. Bongard Action-selection and crossover strategies for self-modeling machines. [Citation Graph (0, 0)][DBLP ] Conf ] Edgar Bermudez Contreras A biologically inspired solution for an evolved simulated agent. [Citation Graph (0, 0)][DBLP ] Conf ] Josh C. Bongard Exploiting multiple robots to accelerate self-modeling. [Citation Graph (0, 0)][DBLP ] Conf ] John A. Bullinaria The effect of learning on life history evolution. [Citation Graph (0, 0)][DBLP ] Conf ] Cecilia Di Chio , Riccardo Poli , Paolo Di Chio EcoPS: a particle swarm algorithm to model group-foraging. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolás S. Estévez , Hod Lipson Dynamical blueprints: exploiting levels of system-environment interaction. [Citation Graph (0, 0)][DBLP ] Conf ] Zbysek Gajda , Lukás Sekanina Reducing the number of transistors in digital circuits using gate-level evolutionary design. [Citation Graph (0, 0)][DBLP ] Conf ] Stanley Phillips Gotshall , Terence Soule Stochastic training of a biologically plausible spino-neuromuscular system model. [Citation Graph (0, 0)][DBLP ] Conf ] Min Gui , Sanjoy Das , Anil Pahwa Procreating V-detectors for nonself recognition: an application to anomaly detection in power systems. [Citation Graph (0, 0)][DBLP ] Conf ] Gul Muhammad Khan , Julian Francis Miller , David M. Halliday Coevolution of intelligent agents using cartesian genetic programming. [Citation Graph (0, 0)][DBLP ] Conf ] Susan Khor Hill climbing on discrete HIFF: exploring the role of DNA transposition in long-term artificial evolution. [Citation Graph (0, 0)][DBLP ] Conf ] DaeEun Kim A quantitative analysis of memory requirement and generalization performance for robotic tasks. [Citation Graph (0, 0)][DBLP ] Conf ] David B. Knoester , Philip K. McKinley , Charles Ofria Using group selection to evolve leadership in populations of self-replicating digital organisms. [Citation Graph (0, 0)][DBLP ] Conf ] Jon McCormack Artificial ecosystems for creative discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Joshua L. Payne , Margaret J. Eppstein Takeover times on scale-free topologies. [Citation Graph (0, 0)][DBLP ] Conf ] Lee Spector , Jon Klein , Mark Feinstein Division blocks and the open-ended evolution of development, form, and behavior. [Citation Graph (0, 0)][DBLP ] Conf ] Julian Togelius , Renzo De Nardi , Hugo Gravato Marques , Richard Newcombe , Simon M. Lucas , Owen Holland Nonlinear dynamics modelling for controller evolution. [Citation Graph (0, 0)][DBLP ] Conf ] Bart Baddeley , Andrew Philippides Bee SLAM: a probabilistic framework for studying orientation flights in bees and wasps. [Citation Graph (0, 0)][DBLP ] Conf ] Guszti Eiben , Joeri Bekker , Robert Griffioen , Evert Haasdijk Balancing quality and quantity in evolving agent systems. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolas Brodu A framework for the emergence of intra-species mutual recognition patterns. [Citation Graph (0, 0)][DBLP ] Conf ] Dara Curran , Colm O'Riordan , Humphrey Sorensen The effects of lifetime learning on the diversity and fitness of populations. [Citation Graph (0, 0)][DBLP ] Conf ] Dara Curran , Colm O'Riordan , Humphrey Sorensen Self-adaptation of cultural learning parameters. [Citation Graph (0, 0)][DBLP ] Conf ] Hengjie Song , Chunyan Miao , Zhiqi Shen Fuzzy cognitive map learning based on multi-objectiveparticle swarm optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Correy Allen Kowall , Brian J. Krent A simulation of evolved autotrophic reproduction. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Krcah Evolving virtual creatures revisited. [Citation Graph (0, 0)][DBLP ] Conf ] Geoff Nitschke , Martijn C. Schut , A. E. Eiben Collective specialization in multi-rover systems. [Citation Graph (0, 0)][DBLP ] Conf ] Simon T. Powers , Richard A. Watson Preliminary investigations into the evolution of cooperative strategies in a minimally spatial model. [Citation Graph (0, 0)][DBLP ] Conf ] Steffen Priesterjahn , Alexander Weimer An evolutionary online adaptation method for modern computer games based on imitation. [Citation Graph (0, 0)][DBLP ] Conf ] Jaume Bacardit , Michael Stout , Jonathan D. Hirst , Kumara Sastry , Xavier Llorà , Natalio Krasnogor Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Bleuler , Eckart Zitzler Discrimination of metabolic flux profiles using a hybrid evolutionary algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Emre H. Brookes , Borries Demeler Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments. [Citation Graph (0, 0)][DBLP ] Conf ] Larry Bull , Ivan S. Uroukov Initial results from the use of learning classifier systems to control in vitro neuronal networks. [Citation Graph (0, 0)][DBLP ] Conf ] Tak-Ming Chan , Kwong-Sak Leung , Kin-Hong Lee TFBS identification by position- and consensus-led genetic algorithm with local filtering. [Citation Graph (0, 0)][DBLP ] Conf ] Federico Divina , Jesús S. Aguilar-Ruiz A multi-objective approach to discover biclusters in microarray data. [Citation Graph (0, 0)][DBLP ] Conf ] Sergio Raul Duarte Torres , David Camilo Becerra Romero , Luis Fernando Niño Vasquez , Yoan José Pinzón Ardila A novel ab-initio genetic-based approach for protein folding prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Alper Küçükural , Reyyan Yeniterzi , Süveyda Yeniterzi , Osman Ugur Sezerman Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Moshe Looks , Ben Goertzel , Lúcio de Souza Coelho , Mauricio Mudado , Cassio Pennachin Clustering gene expression data via mining ensembles of classification rules evolved using moses. [Citation Graph (0, 0)][DBLP ] Conf ] Miguel Rocha , Rui Mendes , Paulo Maia , Daniel Glez-Peña , Florentino Fdez-Riverola A platform for the selection of genes in DNA microarraydata using evolutionary algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Andrea Bazzoli , Giorgio Colombo , Andrea Tettamanzi Ab initio protein structure prediction with a dipeptide-assembly evolutionary algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Telma Woerle de Lima , Rodrigo Antonio Faccioli , Paulo Henrique Ribeiro Gabriel , Alexandre C. B. Delbem , Ivan Nunes da Silva Evolutionary approach to protein structure prediction with hydrophobic interactions. [Citation Graph (0, 0)][DBLP ] Conf ] Chrisantha Thomas Fernando , Jon Rowe Hebbian learning in a simple gene circuit. [Citation Graph (0, 0)][DBLP ] Conf ] José García-Nieto , Enrique Alba , Laetitia Jourdan , El-Ghazali Talbi A comparison of PSO and GA approaches for gene selection and classification of microarray data. [Citation Graph (0, 0)][DBLP ] Conf ] Ed Keedwell , Ajit Narayanan Gene finding and rule discovery with a multi-objective neural-genetic hybrid. [Citation Graph (0, 0)][DBLP ] Conf ] William H. Latham , Miki Shaw , Stephen Todd , Frederic F. Leymarie Using DNA to generate 3D organic art forms. [Citation Graph (0, 0)][DBLP ] Conf ] Moshe Looks , Ben Goertzel , Lúcio de Souza Coelho , Mauricio Mudado , Cassio Pennachin Understanding microarray data through applying competent program evolution. [Citation Graph (0, 0)][DBLP ] Conf ] Filippo Menolascina , Roberto Teixeira Alves , Stefania Tommasi , Patrizia Chiarappa , Myriam Delgado , Giuseppe Mastronardi , Angelo Paradiso , Alex Alves Freitas , Vitoantonio Bevilacqua Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization. [Citation Graph (0, 0)][DBLP ] Conf ] Jason H. Moore , Nate Barney , Bill C. White Towards human-human-computer interaction for biologically-inspired problem-solving in human genetics. [Citation Graph (0, 0)][DBLP ] Conf ] Anthony Bucci , Jordan B. Pollack Thoughts on solution concepts. [Citation Graph (0, 0)][DBLP ] Conf ] Edwin D. de Jong Objective fitness correlation. [Citation Graph (0, 0)][DBLP ] Conf ] Jeffrey Horn Optimal nesting of species for exact cover of resources: two against many. [Citation Graph (0, 0)][DBLP ] Conf ] Rui Li , Bir Bhanu , Krzysztof Krawiec Hybrid coevolutionary algorithms vs. SVM algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Lichodzijewski , Malcolm I. Heywood Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher Stone , Rita Toth , Andrew Adamatzky , Ben de Lacy Costello , Larry Bull Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction. [Citation Graph (0, 0)][DBLP ] Conf ] Ting-Shuo Yo , Edwin D. de Jong A comparison of evaluation methods in coevolution. [Citation Graph (0, 0)][DBLP ] Conf ] Chun-Kit Au , Ho-fung Leung Guided mutations in cooperative coevolutionary algorithms for function optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Rui Li , Bir Bhanu , Krzysztof Krawiec On the number of subpopulations in coevolutionary computation: a database application. [Citation Graph (0, 0)][DBLP ] Conf ] Jules Ottino-Loffler , William Rand , Uri Wilensky A spatial model of the red queen effect. [Citation Graph (0, 0)][DBLP ] Conf ] Peter A. N. Bosman , Jörn Grahl , Franz Rothlauf SDR: a better trigger for adaptive variance scaling in normal EDAs. [Citation Graph (0, 0)][DBLP ] Conf ] Peter A. N. Bosman , Dirk Thierens Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Jürgen Branke , Clemens Lode , Jonathan L. Shapiro Addressing sampling errors and diversity loss in UMDA. [Citation Graph (0, 0)][DBLP ] Conf ] Jörn Grahl , Peter A. N. Bosman , Stefan Minner Convergence phases, variance trajectories, and runtime analysis of continuous EDAs. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Hauschild , Martin Pelikan , Cláudio F. Lima , Kumara Sastry Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. [Citation Graph (0, 0)][DBLP ] Conf ] Piotr Lipinski ECGA vs. BOA in discovering stock market trading experts. [Citation Graph (0, 0)][DBLP ] Conf ] Moshe Looks Scalable estimation-of-distribution program evolution. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Pelikan , Rajiv Kalapala , Alexander K. Hartmann Hybrid evolutionary algorithms on minimum vertex cover for random graphs. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Pelikan , James D. Laury Jr. Order or not: does parallelization of model building in hBOA affect its scalability? [Citation Graph (0, 0)][DBLP ] Conf ] Petr Posík , Vojtech Franc Estimation of fitness landscape contours in EAs. [Citation Graph (0, 0)][DBLP ] Conf ] Abdellah Salhi , José Antonio Vázquez Rodríguez , Qingfu Zhang An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem. [Citation Graph (0, 0)][DBLP ] Conf ] Kumara Sastry , David E. Goldberg , Xavier Llorà Towards billion-bit optimization via a parallel estimation of distribution algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Siddhartha Shakya , Fernando Oliveira , Gilbert Owusu An application of EDA and GA to dynamic pricing. [Citation Graph (0, 0)][DBLP ] Conf ] Chang Wook Ahn , R. S. Ramakrishna Multiobjective real-coded bayesian optimization algorithmrevisited: diversity preservation. [Citation Graph (0, 0)][DBLP ] Conf ] Tian-Li Yu , Kumara Sastry , David E. Goldberg , Martin Pelikan Population sizing for entropy-based model building in discrete estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Yunpeng Cai , Xiaomin Sun , Hua Xu , Peifa Jia Cross entropy and adaptive variance scaling in continuous EDA. [Citation Graph (0, 0)][DBLP ] Conf ] Aimin Zhou , Qingfu Zhang , Yaochu Jin , Bernhard Sendhoff , Edward P. K. Tsang Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. [Citation Graph (0, 0)][DBLP ] Conf ] David Jonathan Coffin , Robert Elliott Smith Why is parity hard for estimation of distribution algorithms? [Citation Graph (0, 0)][DBLP ] Conf ] Eric M. Heien , Tomoyuki Hiroyasu , Noriyuki Fujimoto Investigation of mutation operators for the bayesian optimization algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Moshe Looks Meta-optimizing semantic evolutionary search. [Citation Graph (0, 0)][DBLP ] Conf ] Volker Nannen , A. E. Eiben Variance reduction in meta-EDA. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Pelikan , Alexander K. Hartmann Obtaining ground states of ising spin glasses via optimizing bonds instead of spins. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Pelikan , Shigeyoshi Tsutsui , Rajiv Kalapala Dependency trees, permutations, and quadratic assignment problem. [Citation Graph (0, 0)][DBLP ] Conf ] Sunisa Rimcharoen , Daricha Sutivong , Prabhas Chongstitvatana A synthesis of optimal stopping time in compact genetic algorithm based on real options approach. [Citation Graph (0, 0)][DBLP ] Conf ] Josef Schwarz , Jirí Jaros , Jiri Ocenasek Migration of probabilistic models for island-based bivariate EDA algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Hao Wu , Jonathan L. Shapiro Parameter cross-validation and early-stopping in univariate marginal distribution algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Dirk V. Arnold On the use of evolution strategies for optimising certain positive definite quadratic forms. [Citation Graph (0, 0)][DBLP ] Conf ] Marc Ebner Estimating the spectral sensitivity of a digital sensor using calibration targets. [Citation Graph (0, 0)][DBLP ] Conf ] Chang-Tai Hsieh , Chih-Ming Chen , Ying-Ping Chen Particle swarm guided evolution strategy. [Citation Graph (0, 0)][DBLP ] Conf ] James N. Knight , Monte Lunacek Reducing the space-time complexity of the CMA-ES. [Citation Graph (0, 0)][DBLP ] Conf ] Oliver Kramer , Stephan Brügger , Dejan Lazovic Sex and death: towards biologically inspired heuristics for constraint handling. [Citation Graph (0, 0)][DBLP ] Conf ] Oliver Kramer , Bartek Gloger , Andreas Goebels An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments. [Citation Graph (0, 0)][DBLP ] Conf ] Ángel M. Pérez-Bellido , Sancho Salcedo-Sanz , Emilio G. Ortíz-García , Antonio Portilla-Figueras A hybrid evolutionary programming algorithm for spread spectrum radar polyphase codes design. [Citation Graph (0, 0)][DBLP ] Conf ] Jani Rönkkönen , Jouni Lampinen An extended mutation concept for the local selection based differential evolution algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Claudio Rossi , Antonio Barrientos , Jaime del Cerro Two adaptive mutation operators for optima tracking in dynamic optimization problems with evolution strategies. [Citation Graph (0, 0)][DBLP ] Conf ] Ofer M. Shir , Thomas Bäck Performance analysis of niching algorithms based on derandomized-ES variants. [Citation Graph (0, 0)][DBLP ] Conf ] Ofer M. Shir , Thomas Bäck The second harmonic generation case-study as a gateway for es to quantum control problems. [Citation Graph (0, 0)][DBLP ] Conf ] Juan Carlos Gomez , Olac Fuentes Using evolution strategies for automatic extraction of parameters for stellar population synthesis of galaxy spectra from sdss. [Citation Graph (0, 0)][DBLP ] Conf ] Pavel Petrovic Strengths and weaknesses of FSA representation. [Citation Graph (0, 0)][DBLP ] Conf ] M. A. Abido Two-level of nondominated solutions approach to multiobjective particle swarm optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Salem F. Adra , Ian Griffin , Peter J. Fleming An informed convergence accelerator for evolutionary multiobjective optimiser. [Citation Graph (0, 0)][DBLP ] Conf ] Varun Aggarwal , Una-May O'Reilly COSMO: a correlation sensitive mutation operator for multi-objective optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Hernán E. Aguirre , Hiroyuki Okazaki , Yasushi Fuwa An evolutionary multiobjective approach to design highly non-linear Boolean functions. [Citation Graph (0, 0)][DBLP ] Conf ] Ricardo Landa Becerra , Carlos A. Coello Coello , Alfredo García Hernández-Díaz , Rafael Caballero , Julián Molina Luque Alternative techniques to solve hard multi-objective optimization problems. [Citation Graph (0, 0)][DBLP ] Conf ] Dimo Brockhoff , Tobias Friedrich , Nils Hebbinghaus , Christian Klein , Frank Neumann , Eckart Zitzler Do additional objectives make a problem harder? [Citation Graph (0, 0)][DBLP ] Conf ] David W. Corne , Joshua D. Knowles Techniques for highly multiobjective optimisation: some nondominated points are better than others. [Citation Graph (0, 0)][DBLP ] Conf ] Kalyanmoy Deb , Abhishek Kumar Interactive evolutionary multi-objective optimization and decision-making using reference direction method. [Citation Graph (0, 0)][DBLP ] Conf ] J. C. Ferreira , Carlos M. Fonseca , António Gaspar-Cunha Methodology to select solutions from the pareto-optimal set: a comparative study. [Citation Graph (0, 0)][DBLP ] Conf ] Tobias Friedrich , Nils Hebbinghaus , Frank Neumann , Jun He , Carsten Witt Approximating covering problems by randomized search heuristics using multi-objective models. [Citation Graph (0, 0)][DBLP ] Conf ] Christian Grimme , Joachim Lepping , Alexander Papaspyrou Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics. [Citation Graph (0, 0)][DBLP ] Conf ] Ken Harada , Jun Sakuma , Shigenobu Kobayashi , Isao Ono Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA. [Citation Graph (0, 0)][DBLP ] Conf ] Nhu Binh Ho , Joc Cing Tay Using evolutionary computation and local search to solve multi-objective flexible job shop problems. [Citation Graph (0, 0)][DBLP ] Conf ] Hisao Ishibuchi , Yusuke Nojima , Noritaka Tsukamoto , Ken Ohara Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Matt D. Johnson , Daniel R. Tauritz , Ralph W. Wilkerson SNDL-MOEA: stored non-domination level MOEA. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Kirley , Robert L. Stewart An analysis of the effects of population structure on scalable multiobjective optimization problems. [Citation Graph (0, 0)][DBLP ] Conf ] Praveen Koduru , Sanjoy Das , Stephen Welch Multi-objective hybrid PSO using µ-fuzzy dominance. [Citation Graph (0, 0)][DBLP ] Conf ] Nobukazu Matake , Tomoyuki Hiroyasu , Mitsunori Miki , Tomoharu Senda Multiobjective clustering with automatic k-determination for large-scale data. [Citation Graph (0, 0)][DBLP ] Conf ] Sanaz Mostaghim , Jürgen Branke , Hartmut Schmeck Multi-objective particle swarm optimization on computer grids. [Citation Graph (0, 0)][DBLP ] Conf ] Antonio J. Nebro , Enrique Alba , Guillermo Molina , J. Francisco Chicano , Francisco Luna , Juan J. Durillo Optimal antenna placement using a new multi-objective chc algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Corina Rotar , D. Dumitrescu , Rodica Ioana Lung Guided hyperplane evolutionary algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Oliver Schütze , Marco Laumanns , Emilia Tantar , Carlos A. Coello Coello , El-Ghazali Talbi Convergence of stochastic search algorithms to gap-free pareto front approximations. [Citation Graph (0, 0)][DBLP ] Conf ] Breanna W. Bailey , Anne M. Raich Interactive multi-objective design of long-span trusses. [Citation Graph (0, 0)][DBLP ] Conf ] István Borgulya An EC-memory based method for the multi-objective TSP. [Citation Graph (0, 0)][DBLP ] Conf ] Tomoyuki Hiroyasu , Kengo Yoshii , Mitsunori Miki Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources. [Citation Graph (0, 0)][DBLP ] Conf ] Mark P. Kleeman , Gary B. Lamont , Kenneth M. Hopkinson , Scott R. Graham Multiobjective evolutionary algorithms for designing capacitated network centric communications. [Citation Graph (0, 0)][DBLP ] Conf ] Coromoto León , Gara Miranda , Carlos Segura Parallel skeleton for multi-objective optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaodong Li , Jürgen Branke , Michael Kirley Performance measures and particle swarm methods for dynamic multi-objective optimization problems. [Citation Graph (0, 0)][DBLP ] Conf ] Zhiyong Li , Günter Rudolph A framework of quantum-inspired multi-objective evolutionary algorithms and its convergence condition. [Citation Graph (0, 0)][DBLP ] Conf ] S. Afshin Mansouri , S. Hamed Hendizadeh , Nasser Salmasi Bicriteria two-machine flowshop scheduling using metaheuristics. [Citation Graph (0, 0)][DBLP ] Conf ] Carlos Eduardo Mariano , Victor Hugo Alcocer , Eduardo F. Morales Incremental refinement of solutions for multiple objective optimization problems. [Citation Graph (0, 0)][DBLP ] Conf ] Luis Martí , Jesús García , Antonio Berlanga , José Manuel Molina A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Dana Vrajitoru Hybrid multiobjective optimization genetic algorithms for graph drawing. [Citation Graph (0, 0)][DBLP ] Conf ] Piotr Wozniak Dimensionality reduction in evolutionary multiobjective design: case study. [Citation Graph (0, 0)][DBLP ] Conf ] Anne Auger , Olivier Teytaud Continuous lunches are free! [Citation Graph (0, 0)][DBLP ] Conf ] Tao Gong , Andrew Tuson Enhanced forma analysis of permutation problems. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Jansen , Madeleine Theile Stability in the self-organized evolution of networks. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Jansen , Dennis Weyland Analysis of evolutionary algorithms for the longest common subsequence problem. [Citation Graph (0, 0)][DBLP ] Conf ] Joachim Reichel , Martin Skutella Evolutionary algorithms and matroid optimization problems. [Citation Graph (0, 0)][DBLP ] Conf ] Olivier Teytaud , Sylvain Gelly DCMA: yet another derandomization in covariance-matrix-adaptation. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher J. C. H. Watkins The channel capacity of evolution. [Citation Graph (0, 0)][DBLP ] Conf ] Kester Clegg , Susan Stepney , Tim Clarke Using feedback to regulate gene expression in a developmental control architecture. [Citation Graph (0, 0)][DBLP ] Conf ] David B. D'Ambrosio , Kenneth O. Stanley A novel generative encoding for exploiting neural network sensor and output geometry. [Citation Graph (0, 0)][DBLP ] Conf ] Alexandre Devert , Nicolas Bredeche , Marc Schoenauer Robust multi-cellular developmental design. [Citation Graph (0, 0)][DBLP ] Conf ] Keith L. Downing Supplementing evolutionary developmental systems with abstract models of neurogenesis. [Citation Graph (0, 0)][DBLP ] Conf ] Jason Gauci , Kenneth Stanley Generating large-scale neural networks through discovering geometric regularities. 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