Conferences in DBLP
Chandana Paul , Hod Lipson , Francisco J. Valero Cuevas Evolutionary form-finding of tensegrity structures. [Citation Graph (0, 0)][DBLP ] Conf ] Vinod Valsalam , James A. Bednar , Risto Miikkulainen Constructing good learners using evolved pattern generators. [Citation Graph (0, 0)][DBLP ] Conf ] Justin Schonfeld , Daniel A. Ashlock A study of evolutionary robustness in stochastically tiled polyominos. [Citation Graph (0, 0)][DBLP ] Conf ] Ricardo Landa Becerra , Carlos A. Coello Coello Optimization with constraints using a cultured differential evolution approach. [Citation Graph (0, 0)][DBLP ] Conf ] Matthias Scheutz , Paul W. Schermerhorn Predicting population dynamics and evolutionary trajectories based on performance evaluations in alife simulations. [Citation Graph (0, 0)][DBLP ] Conf ] Keith L. Downing The predictive basis of situated and embodied artificial intelligence. [Citation Graph (0, 0)][DBLP ] Conf ] Michelle McPartland , Stefano Nolfi , Hussein A. Abbass Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach. [Citation Graph (0, 0)][DBLP ] Conf ] Daniel A. Ashlock , Eun-Youn Kim The impact of cellular representation on finite state agents for prisoner's dilemma. [Citation Graph (0, 0)][DBLP ] Conf ] Hong-Long Liang , Chungnan Lee , Jain-Shing Wu Multiplex PCR primer design for gene family using genetic algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] A. E. Eiben , Martijn C. Schut , T. Toma Comparing multicast and newscast communication in evolving agent societies. [Citation Graph (0, 0)][DBLP ] Conf ] Timothy G. W. Gordon , Peter J. Bentley Bias and scalability in evolutionary development. [Citation Graph (0, 0)][DBLP ] Conf ] Sean Luke Evolutionary computation and the c-value paradox. [Citation Graph (0, 0)][DBLP ] Conf ] John Rieffel , Jordan B. Pollack Automated assembly as situated development: using artificial ontogenies to evolve buildable 3-D objects. [Citation Graph (0, 0)][DBLP ] Conf ] Ron Breukelaar , Thomas Bäck Using a genetic algorithm to evolve behavior in multi dimensional cellular automata: emergence of behavior. [Citation Graph (0, 0)][DBLP ] Conf ] Ehud Schlessinger , Peter J. Bentley , R. Beau Lotto Evolving visually guided agents in an ambiguous virtual world. [Citation Graph (0, 0)][DBLP ] Conf ] Renato Reder Cazangi , Fernando J. Von Zuben , Maurício F. Figueiredo Autonomous navigation system applied to collective robotics with ant-inspired communication. [Citation Graph (0, 0)][DBLP ] Conf ] Anthony Brabazon , Arlindo Silva , Tiago Ferra de Sousa , Michael O'Neill , Robin Matthews , Ernesto Costa Agent-based modelling of product invention. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew Stout , Lee Spector Validation of evolutionary activity metrics for long-term evolutionary dynamics. [Citation Graph (0, 0)][DBLP ] Conf ] Tadahiko Murata , Masatoshi Yamaguchi Neighboring crossover to improve GA-based Q-learning method for multi-legged robot control. [Citation Graph (0, 0)][DBLP ] Conf ] Gary Parker , Ramona Georgescu Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Artur Matos , Reiji Suzuki , Takaya Arita Evolutionary models for maternal effects in simulated developmental systems. [Citation Graph (0, 0)][DBLP ] Conf ] Horst Wedde , Muddassar Farooq , Thorsten Pannenbaecker , Bjoern Vogel , Christian Mueller , Johannes Meth , Rene Jeruschkat BeeAdHoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior. [Citation Graph (0, 0)][DBLP ] Conf ] Matthew Settles , Terence Soule Breeding swarms: a GA/PSO hybrid. [Citation Graph (0, 0)][DBLP ] Conf ] Riccardo Poli , Cecilia Di Chio , William B. Langdon Exploring extended particle swarms: a genetic programming approach. [Citation Graph (0, 0)][DBLP ] Conf ] Swagatam Das , Amit Konar , Uday Kumar Chakraborty Improving particle swarm optimization with differentially perturbed velocity. [Citation Graph (0, 0)][DBLP ] Conf ] Matthew Settles , Paul Nathan , Terence Soule Breeding swarms: a new approach to recurrent neural network training. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher K. Monson , Kevin D. Seppi Bayesian optimization models for particle swarms. [Citation Graph (0, 0)][DBLP ] Conf ] James Kennedy Dynamic-probabilistic particle swarms. [Citation Graph (0, 0)][DBLP ] Conf ] Angel E. Muñoz Zavala , Arturo Hernández Aguirre , Enrique R. Villa Diharce Constrained optimization via particle evolutionary swarm optimization algorithm (PESO). [Citation Graph (0, 0)][DBLP ] Conf ] Vegard Hartmann Evolving agent swarms for clustering and sorting. [Citation Graph (0, 0)][DBLP ] Conf ] Efrén Mezura-Montes , Jesús Velázquez-Reyes , Carlos A. Coello Coello Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Fleischer Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher K. Monson , Kevin D. Seppi Exposing origin-seeking bias in PSO. [Citation Graph (0, 0)][DBLP ] Conf ] Wai-Kuan Foong , Holger R. Maier , Angus R. Simpson Ant colony optimization for power plant maintenance scheduling optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Carlo R. Raquel , Prospero C. Naval Jr. An effective use of crowding distance in multiobjective particle swarm optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Bo-Fu Liu , Hung-Ming Chen , Jian-Hung Chen , Shiow-Fen Hwang , Shinn-Ying Ho MeSwarm: memetic particle swarm optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Mohammed El-Abd , Mohamed Kamel Factors governing the behavior of multiple cooperating swarms. [Citation Graph (0, 0)][DBLP ] Conf ] Thang Nguyen Bui , Mufit Colpan Solving geometric TSP with ants. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Schmickl , Ronald Thenius , Karl Crailsheim Simulating swarm intelligence in honey bees: foraging in differently fluctuating environments. [Citation Graph (0, 0)][DBLP ] Conf ] Rafael Bello , Ann Nowé , Yaile Caballero , Y. Gómez , Peter Vrancx A model based on ant colony system and rough set theory to feature selection. [Citation Graph (0, 0)][DBLP ] Conf ] Zhihua Cui , Jianchao Zeng A modified particle swarm optimization predicted by velocity. [Citation Graph (0, 0)][DBLP ] Conf ] Zhou Ji , Dipankar Dasgupta Estimating the detector coverage in a negative selection algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Fabrício Olivetti de França , Fernando J. Von Zuben , Leandro Nunes de Castro An artificial immune network for multimodal function optimization on dynamic environments. [Citation Graph (0, 0)][DBLP ] Conf ] Fabio A. González , Juan Carlos Galeano , Diego Alexander Rojas , Angélica Veloza-Suan Discriminating and visualizing anomalies using negative selection and self-organizing maps. [Citation Graph (0, 0)][DBLP ] Conf ] Zaiyi Guo , Hann Kwang Han , Joc Cing Tay Sufficiency verification of HIV-1 pathogenesis based on multi-agent simulation. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Spellward , Tim Kovacs On the contribution of gene libraries to artificial immune systems. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Stibor , Philipp H. Mohr , Jonathan Timmis , Claudia Eckert Is negative selection appropriate for anomaly detection? [Citation Graph (0, 0)][DBLP ] Conf ] Jui-Yu Wu , Yun-Kung Chung Artificial immune system for solving generalized geometric problems: a preliminary results. [Citation Graph (0, 0)][DBLP ] Conf ] Joseph M. Shapiro , Gary B. Lamont , Gilbert L. Peterson An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaoshu Hang , Honghua Dai Applying both positive and negative selection to supervised learning for anomaly detection. [Citation Graph (0, 0)][DBLP ] Conf ] Ian Nunn , Tony White The application of antigenic search techniques to time series forecasting. [Citation Graph (0, 0)][DBLP ] Conf ] Juan Carlos Galeano , Angélica Veloza-Suan , Fabio A. González A comparative analysis of artificial immune network models. [Citation Graph (0, 0)][DBLP ] Conf ] Helder Knidel , Leandro Nunes de Castro , Fernando J. Von Zuben RABNET: a real-valued antibody network for data clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Maoguo Gong , Licheng Jiao , Haifeng Du , Ronghua Shang , Bin Lu Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics. [Citation Graph (0, 0)][DBLP ] Conf ] Joshua L. Payne , Margaret J. Eppstein A hybrid genetic algorithm with pattern search for finding heavy atoms in protein crystals. [Citation Graph (0, 0)][DBLP ] Conf ] Thang Nguyen Bui , Gnanasekaran Sundarraj An efficient genetic algorithm for predicting protein tertiary structures in the 2D HP model. [Citation Graph (0, 0)][DBLP ] Conf ] Praveen Koduru , Sanjoy Das , Stephen Welch , Judith L. Roe , Zenaida P. Lopez-Dee A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models. [Citation Graph (0, 0)][DBLP ] Conf ] Rolv Seehuus , Amund Tveit , Ole Edsberg Discovering biological motifs with genetic programming. [Citation Graph (0, 0)][DBLP ] Conf ] Gloria Childress Townsend , Wade N. Hazel , Rick Smock Using evolutionary computation methods to support analytical models for the evolution and maintenance of conditional strategies in chthamalus anisopoma . [Citation Graph (0, 0)][DBLP ] Conf ] Leon Poladian A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping. [Citation Graph (0, 0)][DBLP ] Conf ] Tim Hohm , Daniel Hoffmann A multi-objective evolutionary approach to peptide structure redesign and stabilization. [Citation Graph (0, 0)][DBLP ] Conf ] Habtom W. Ressom , Rency S. Varghese , Daniel Saha , Eduard Orvisky , Lenka Goldman , Emanuel F. Petricoin , Thomas P. Conrads , Thomas D. Veenstra , Mohamed Abdel-Hamid , Christopher A. Loffredo , Radoslav Goldman Particle swarm optimization for analysis of mass spectral serum profiles. [Citation Graph (0, 0)][DBLP ] Conf ] Nasimul Noman , Hitoshi Iba Inference of gene regulatory networks using s-system and differential evolution. [Citation Graph (0, 0)][DBLP ] Conf ] Dongsheng Che , Yinglei Song , Khaled Rasheed MDGA: motif discovery using a genetic algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Topon Kumar Paul , Hitoshi Iba Extraction of informative genes from microarray data. [Citation Graph (0, 0)][DBLP ] Conf ] Hiram A. Firpi , Erik D. Goodman , Javier Echauz Epileptic seizure detection by means of genetically programmed artificial features. [Citation Graph (0, 0)][DBLP ] Conf ] Christian Spieth , Felix Streichert , Nora Speer , Andreas Zell Identifying valid solutions for the inference of regulatory networks. [Citation Graph (0, 0)][DBLP ] Conf ] D. E. Cairns , G. J. Cameron , T. J. Wess Evolving an improved axial structure for fibrillar collagen. [Citation Graph (0, 0)][DBLP ] Conf ] Jesús S. Aguilar-Ruiz , Federico Divina GA-based approach to discover meaningful biclusters. [Citation Graph (0, 0)][DBLP ] Conf ] Feng-Mao Lin , Hsien-Da Huang , His-Yuan Huang , Jorng-Tzong Horng Primer design for multiplex PCR using a genetic algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Pasut Seeluangsawat , Prabhas Chongstitvatana A multiple objective evolutionary algorithm for multiple sequence alignment. [Citation Graph (0, 0)][DBLP ] Conf ] Kay C. Wiese , Andrew Hendriks , Alain Deschênes , Belgacem Ben Youssef The impact of pseudorandom number quality on P-RnaPredict , a parallel genetic algorithm for RNA secondary structure prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Edwin D. de Jong The MaxSolve algorithm for coevolution. [Citation Graph (0, 0)][DBLP ] Conf ] Faustino J. Gomez , Jürgen Schmidhuber Co-evolving recurrent neurons learn deep memory POMDPs. [Citation Graph (0, 0)][DBLP ] Conf ] Sevan G. Ficici Monotonic solution concepts in coevolution. [Citation Graph (0, 0)][DBLP ] Conf ] Elena Popovici , Kenneth A. De Jong Understanding cooperative co-evolutionary dynamics via simple fitness landscapes. [Citation Graph (0, 0)][DBLP ] Conf ] Pablo Funes , Enrique Pujals Intransitivity revisited coevolutionary dynamics of numbers games. [Citation Graph (0, 0)][DBLP ] Conf ] Nathan Williams , Melanie Mitchell Investigating the success of spatial coevolution. [Citation Graph (0, 0)][DBLP ] Conf ] Josh C. Bongard , Hod Lipson 'Managed challenge' alleviates disengagement in co-evolutionary system identification. [Citation Graph (0, 0)][DBLP ] Conf ] Anthony Bucci , Jordan B. Pollack On identifying global optima in cooperative coevolution. [Citation Graph (0, 0)][DBLP ] Conf ] Chien-Feng Huang , Luis Mateus Rocha Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition. [Citation Graph (0, 0)][DBLP ] Conf ] Deborah Vakas Duong , John J. Grefenstette The emulation of social institutions as a method of coevolution. [Citation Graph (0, 0)][DBLP ] Conf ] Jeffrey Horn Shape nesting by coevolving species. [Citation Graph (0, 0)][DBLP ] Conf ] Christophe Philemotte , Hugues Bersini Intrinsic emergence boosts adaptive capacity. [Citation Graph (0, 0)][DBLP ] Conf ] Katharina Anna Lehmann , Michael Kaufmann Evolutionary algorithms for the self-organized evolution of networks. [Citation Graph (0, 0)][DBLP ] Conf ] Christian Gunia On the analysis of the approximation capability of simple evolutionary algorithms for scheduling problems. [Citation Graph (0, 0)][DBLP ] Conf ] Benjamin Skellett , Benjamin Cairns , Nicholas Geard , Bradley Tonkes , Janet Wiles Maximally rugged NK landscapes contain the highest peaks. [Citation Graph (0, 0)][DBLP ] Conf ] Bryant A. Julstrom The blob code is competitive with edge-sets in genetic algorithms for the minimum routing cost spanning tree problem. [Citation Graph (0, 0)][DBLP ] Conf ] Kagan Tumer , Adrian K. Agogino Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments. [Citation Graph (0, 0)][DBLP ] Conf ] Anne Defaweux , Tom Lenaerts , Jano I. van Hemert , Johan Parent Transition models as an incremental approach for problem solving in evolutionary algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Bryant A. Julstrom Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem. [Citation Graph (0, 0)][DBLP ] Conf ] German Hernandez , Kenneth Wilder , Fernando Niño , Julian Garcia Towards a self-stopping evolutionary algorithm using coupling from the past. [Citation Graph (0, 0)][DBLP ] Conf ] Jing Tang , Meng-Hiot Lim , Yew-Soon Ong , Meng Joo Er Solving large scale combinatorial optimization using PMA-SLS. [Citation Graph (0, 0)][DBLP ] Conf ] Yourim Yoon , Yong-Hyuk Kim , Byung Ro Moon An evolutionary lagrangian method for the 0/1 multiple knapsack problem. [Citation Graph (0, 0)][DBLP ] Conf ] Hugo Terashima-Marín , E. J. Flores-Álvarez , Peter Ross Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems. [Citation Graph (0, 0)][DBLP ] Conf ] Lina Perelman , Avi Ostfeld Water distribution systems optimal design using cross entropy. [Citation Graph (0, 0)][DBLP ] Conf ] István Borgulya A hybrid evolutionary algorithm for the p-median problem. [Citation Graph (0, 0)][DBLP ] Conf ] Zong Woo Geem , Kang Seok Lee , Chung-Li Tseng Harmony search for structural design. [Citation Graph (0, 0)][DBLP ] Conf ] Martin V. Butz , Martin Pelikan , Xavier Llorà , David E. Goldberg Extracted global structure makes local building block processing effective in XCS. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Pelikan , Kumara Sastry , David E. Goldberg Multiobjective hBOA, clustering, and scalability. [Citation Graph (0, 0)][DBLP ] Conf ] Kumara Sastry , Hussein A. Abbass , David E. Goldberg , D. D. Johnson Sub-structural niching in estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Droste Not all linear functions are equally difficult for the compact genetic algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Ivan Tanev Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot. [Citation Graph (0, 0)][DBLP ] Conf ] Alden H. Wright , Sandeep Pulavarty On the convergence of an estimation of distribution algorithm based on linkage discovery and factorization. [Citation Graph (0, 0)][DBLP ] Conf ] Jun Sakuma , Shigenobu Kobayashi Real-coded crossover as a role of kernel density estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Shengxiang Yang Population-based incremental learning with memory scheme for changing environments. [Citation Graph (0, 0)][DBLP ] Conf ] Bo Yuan , Marcus Gallagher On the importance of diversity maintenance in estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Siddhartha Shakya , John A. W. McCall , Deryck F. Brown Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Cláudio F. Lima , Kumara Sastry , David E. Goldberg , Fernando G. Lobo Combining competent crossover and mutation operators: a probabilistic model building approach. [Citation Graph (0, 0)][DBLP ] Conf ] Yi Hong , Qingsheng Ren , Jin Zeng Genetic drift in univariate marginal distribution algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Moshe Looks , Ben Goertzel , Cassio Pennachin Learning computer programs with the bayesian optimization algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Sergio Ivvan Valdez Peña , Salvador Botello Rionda , Arturo Hernández Aguirre Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information. [Citation Graph (0, 0)][DBLP ] Conf ] Chien-Feng Huang , Stefan Bieniawski , David H. Wolpert , Charlie E. M. Strauss A comparative study of probability collectives based multi-agent systems and genetic algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Peter A. N. Bosman , Edwin D. de Jong Exploiting gradient information in numerical multi--objective evolutionary optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Frank Neumann , Ingo Wegener Minimum spanning trees made easier via multi-objective optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Mian Li , Shapour Azarm , Vikrant Aute A multi-objective genetic algorithm for robust design optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Lam T. Bui , Hussein A. Abbass , Daryl Essam Fitness inheritance for noisy evolutionary multi-objective optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Hisao Ishibuchi , Kaname Narukawa Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach. [Citation Graph (0, 0)][DBLP ] Conf ] Yang Zhang , Peter Rockett Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection. [Citation Graph (0, 0)][DBLP ] Conf ] Mary E. Kurz , Sarah Canterbury Minimizing total flowtime and maximum earliness on a single machine using multiple measures of fitness. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Xu , Sushil J. Louis , Roberto C. Mancini A scalable parallel genetic algorithm for x-ray spectroscopic analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Hisao Ishibuchi , Kaname Narukawa , Yusuke Nojima An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Karlheinz Schmitt , Jörn Mehnen , Thomas Michelitsch Using predators and preys in evolution strategies. [Citation Graph (0, 0)][DBLP ] Conf ] Shinya Watanabe , Kazutoshi Sakakibara The effectiveness of multiobjective optimizer in single-objective optimization enviroment. [Citation Graph (0, 0)][DBLP ] Conf ] Tobias Storch On the impact of objective function transformations on evolutionary and black-box algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Jansen , Ulf Schellbach Theoretical analysis of a mutation-based evolutionary algorithm for a tracking problem in the lattice. [Citation Graph (0, 0)][DBLP ] Conf ] Jens Jägersküpper , Carsten Witt Rigorous runtime analysis of a (µ+1)ES for the sphere function. [Citation Graph (0, 0)][DBLP ] Conf ] Anne Auger , Marc Schoenauer , Olivier Teytaud Local and global order 3/2 convergence of a surrogate evolutionary algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Mike Preuss , Lutz Schönemann , Michael Emmerich Counteracting genetic drift and disruptive recombination in (µ, + lambda)-EA on multimodal fitness landscapes. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaodong Li Efficient differential evolution using speciation for multimodal function optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Junhong Liu , Jouni Lampinen A differential evolution based incremental training method for RBF networks. [Citation Graph (0, 0)][DBLP ] Conf ] Pei Yee Ho , Kazuyuki Shimizu Simple addition of ranking method for constrained optimization in evolutionary algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Nashvili , Markus Olhofer , Bernhard Sendhoff Morphing methods in evolutionary design optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Tanasanee Phienthrakul , Boonserm Kijsirikul Evolutionary strategies for multi-scale radial basis function kernels in support vector machines. [Citation Graph (0, 0)][DBLP ] Conf ] Ofer M. Shir , Thomas Bäck Niching in evolution strategies. [Citation Graph (0, 0)][DBLP ] Conf ] Oliver Kramer , Chuan-Kang Ting , Hans Kleine Büning A mutation operator for evolution strategies to handle constrained problems. [Citation Graph (0, 0)][DBLP ] Conf ] Karlheinz Schmitt Using gene deletion and gene duplication in evolution strategies. [Citation Graph (0, 0)][DBLP ] Conf ] Sadiq M. Sait , Syed Sanaullah , Ali Mustafa Zaidi , Mustafa I. Ali Comparative evaluation of parallelization strategies for evolutionary and stochastic heuristics. [Citation Graph (0, 0)][DBLP ] Conf ] Lutz Schönemann Optimal number of evolution strategies mutation step sizes in dynamic environments. [Citation Graph (0, 0)][DBLP ] Conf ] Didier Keymeulen , Wolfgang Fink , Michael I. Ferguson , Chris Peay , Boris Oks , Richard Terrile , Karl Yee Evolutionary computation applied to the tuning of MEMS gyroscopes. [Citation Graph (0, 0)][DBLP ] Conf ] Saranyan Vigraham , John C. Gallagher , Sanjay K. Boddhu Evolving analog controllers for correcting thermoacoustic instability in real hardware. [Citation Graph (0, 0)][DBLP ] Conf ] Lucian Prodan , Mihai Udrescu , Mircea Vladutiu Multiple-level concatenated coding in embryonics: a dependability analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Malay Kumar Pakhira , Rajat K. De A hardware pipeline for function optimization using genetic algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Rusty Hunt , Gregory Hornby , Jason D. Lohn Toward evolved flight. [Citation Graph (0, 0)][DBLP ] Conf ] Nasimul Noman , Hitoshi Iba Enhancing differential evolution performance with local search for high dimensional function optimization. [Citation Graph (0, 0)][DBLP ] Conf ] John F. McLoughlin III , Walter Cedeño The enhanced evolutionary tabu search and its application to the quadratic assignment problem. [Citation Graph (0, 0)][DBLP ] Conf ] David Quintana , Cristóbal Luque del Arco-Calderón , Pedro Isasi Evolutionary rule-based system for IPO underpricing prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Swagatam Das , Amit Konar , Uday Kumar Chakraborty Two improved differential evolution schemes for faster global search. [Citation Graph (0, 0)][DBLP ] Conf ] Abraham Duarte , Ángel Sánchez , Felipe Fernández , Raúl Cabido A low-level hybridization between memetic algorithm and VNS for the max-cut problem. [Citation Graph (0, 0)][DBLP ] Conf ] Salem F. Adra , Ian Griffin , Peter J. Fleming Hybrid multiobjective genetic algorithm with a new adaptive local search process. [Citation Graph (0, 0)][DBLP ] Conf ] Phil McMinn , Mike Holcombe Evolutionary testing of state-based programs. [Citation Graph (0, 0)][DBLP ] Conf ] Lionel C. Briand , Yvan Labiche , Marwa Shousha Stress testing real-time systems with genetic algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Harman , Stephen Swift , Kiarash Mahdavi An empirical study of the robustness of two module clustering fitness functions. [Citation Graph (0, 0)][DBLP ] Conf ] Concettina Del Grosso , Giuliano Antoniol , Massimiliano Di Penta , Philippe Galinier , Ettore Merlo Improving network applications security: a new heuristic to generate stress testing data. [Citation Graph (0, 0)][DBLP ] Conf ] Olaf Seng , Markus Bauer , Matthias Biehl , Gert Pache Search-based improvement of subsystem decompositions. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Wappler , Frank Lammermann Using evolutionary algorithms for the unit testing of object-oriented software. [Citation Graph (0, 0)][DBLP ] Conf ] Yuan Zhan , John A. Clark Search-based mutation testing for Simulink models. [Citation Graph (0, 0)][DBLP ] Conf ] Gerardo Canfora , Massimiliano Di Penta , Raffaele Esposito , Maria Luisa Villani An approach for QoS-aware service composition based on genetic algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew Sutton , Huzefa H. Kagdi , Jonathan I. Maletic , L. Gwenn Volkert Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones. [Citation Graph (0, 0)][DBLP ] Conf ] Karnig Derderian , Robert M. Hierons , Mark Harman , Qiang Guo Generating feasible input sequences for extended finite state machines (EFSMs) using genetic algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Frank Lammermann , Stefan Wappler Benefits of software measures for evolutionary white-box testing. [Citation Graph (0, 0)][DBLP ] Conf ] Joseph Haas , Maxim Peysakhov , Spiros Mancoridis GA-based parameter tuning for multi-agent systems. [Citation Graph (0, 0)][DBLP ] Conf ] Shengxiang Yang Memory-based immigrants for genetic algorithms in dynamic environments. [Citation Graph (0, 0)][DBLP ] Conf ] Enrique Alba , Hugo Alfonso , Bernabé Dorronsoro Advanced models of cellular genetic algorithms evaluated on SAT. [Citation Graph (0, 0)][DBLP ] Conf ] Artem Sokolov , Darrell Whitley Unbiased tournament selection. [Citation Graph (0, 0)][DBLP ] Conf ] Raúl Giráldez , Jesús S. Aguilar-Ruiz Feature influence for evolutionary learning. [Citation Graph (0, 0)][DBLP ] Conf ] U. Chandimal de Silva , Joe Suzuki On the stationary distribution of GAs with fixed crossover probability. [Citation Graph (0, 0)][DBLP ] Conf ] Nicholas Freitag McPhee , Ellery Fussell Crane A theoretical analysis of the HIFF problem. [Citation Graph (0, 0)][DBLP ] Conf ] Dirk Sudholt Crossover is provably essential for the ising model on trees. [Citation Graph (0, 0)][DBLP ] Conf ] Dong-il Seo , Byung Ro Moon Computing the epistasis variance of large-scale traveling salesman problems. [Citation Graph (0, 0)][DBLP ] Conf ] Ivan I. Garibay , Annie S. Wu , Ozlem O. Garibay On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity. [Citation Graph (0, 0)][DBLP ] Conf ] Chongshan Zhang , Khaled Rasheed Improving GA search reliability using maximal hyper-rectangle analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Helio J. C. Barbosa , Afonso C. C. Lemonge A genetic algorithm encoding for a class of cardinality constraints. [Citation Graph (0, 0)][DBLP ] Conf ] Edwin D. de Jong , Richard A. Watson , Dirk Thierens On the complexity of hierarchical problem solving. [Citation Graph (0, 0)][DBLP ] Conf ] Monte Lunacek , L. Darrell Whitley , James N. Knight Measuring mobility and the performance of global search algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Tian-Li Yu , Kumara Sastry , David E. Goldberg Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. [Citation Graph (0, 0)][DBLP ] Conf ] Shimon Whiteson , Peter Stone , Kenneth O. Stanley , Risto Miikkulainen , Nate Kohl Automatic feature selection in neuroevolution. [Citation Graph (0, 0)][DBLP ] Conf ] J. Neal Richter , John Paxton , Alden H. Wright EA models and population fixed-points versus mutation rates for functions of unitation. [Citation Graph (0, 0)][DBLP ] Conf ] Sung-Soon Choi , Kyomin Jung , Jeong Han Kim Phase transition in a random NK landscape model. [Citation Graph (0, 0)][DBLP ] Conf ] Hal Stringer , Annie S. Wu Behavior of finite population variable length genetic algorithms under random selection. [Citation Graph (0, 0)][DBLP ] Conf ] Sima Uyar , Gülsen Eryigit Improvements to penalty-based evolutionary algorithms for the multi-dimensional knapsack problem using a gene-based adaptive mutation approach. [Citation Graph (0, 0)][DBLP ] Conf ] Lee K. Graham , Hassan Masum , Franz Oppacher Statistical analysis of heuristics for evolving sorting networks. [Citation Graph (0, 0)][DBLP ] Conf ] Shane Legg , Marcus Hutter Fitness uniform deletion: a simple way to preserve diversity. [Citation Graph (0, 0)][DBLP ] Conf ] Abdullah Konak , Alice E. Smith Designing resilient networks using a hybrid genetic algorithm approach. [Citation Graph (0, 0)][DBLP ] Conf ] Yossi Borenstein , Riccardo Poli Information landscapes and the analysis of search algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Zbigniew Skolicki , Kenneth A. De Jong The influence of migration sizes and intervals on island models. [Citation Graph (0, 0)][DBLP ] Conf ] M. T. Iglesias , Bart Naudts , Alain Verschoren , C. 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