A Multi-Facet Survey on Memetic Computation
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Kay Chen Tan | Yew-Soon Ong | Meng-Hiot Lim | Xianshun Chen | Y. Ong | M. Lim | Xianshun Chen | K. Tan
[1] Ruhul A. Sarker,et al. An agent-based memetic algorithm (AMA) for solving constrained optimazation problems , 2007, 2007 IEEE Congress on Evolutionary Computation.
[2] Jiming Liu,et al. Autonomy-Oriented Computing (AOC): The Nature and Implications of a Paradigm for Self-Organized Computing , 2008, 2008 Fourth International Conference on Natural Computation.
[3] El-Ghazali Talbi,et al. Combining Metaheuristics and Exact Methods for Solving Exactly Multi-objective Problems on the Grid , 2007, J. Math. Model. Algorithms.
[4] Kay Chen Tan,et al. Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms , 2007, Evolutionary Computation in Dynamic and Uncertain Environments.
[5] Yew-Soon Ong,et al. A proposition on memes and meta-memes in computing for higher-order learning , 2009, Memetic Comput..
[6] J. Baldwin. A New Factor in Evolution , 1896, The American Naturalist.
[7] Evelina Lamma,et al. A Logic Based Approach to Multi-Agent Systems , 2001 .
[8] Christodoulos A. Floudas,et al. Deterministic global optimization - theory, methods and applications , 2010, Nonconvex optimization and its applications.
[9] Andy J. Keane,et al. Meta-Lamarckian learning in memetic algorithms , 2004, IEEE Transactions on Evolutionary Computation.
[10] Yew-Soon Ong,et al. Memetic Computation—Past, Present & Future [Research Frontier] , 2010, IEEE Computational Intelligence Magazine.
[11] Robert G. Reynolds,et al. Cultural algorithms: modeling of how cultures learn to solve problems , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.
[12] Tarek A. El-Mihoub,et al. Self-adaptive Baldwinian search in hybrid genetic algorithms , 2006 .
[13] Sanja Petrovic,et al. Solution Representation for Job Shop Scheduling Problems in Ant Colony Optimisation , 2006, ANTS Workshop.
[14] Derek B. Ingham,et al. Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics , 2007, 2007 IEEE Congress on Evolutionary Computation.
[15] Sören Auer,et al. xOperator - An Extensible Semantic Agent for Instant Messaging Networks , 2008, ESWC.
[16] Tadeusz Witkowski,et al. Representation of Solutions and Genetic Operators for Flexible Job Shop Problem , 2007, ICIC.
[17] Qingfu Zhang,et al. A Guided Memetic Algorithm with Probabilistic Models , 2009 .
[18] Brett Browning,et al. A survey of robot learning from demonstration , 2009, Robotics Auton. Syst..
[19] Chuan-Kang Ting,et al. Linkage Discovery through Data Mining [Research Frontier] , 2010, IEEE Computational Intelligence Magazine.
[20] Giulio Sandini,et al. A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents , 2007, IEEE Transactions on Evolutionary Computation.
[21] Joshua D. Knowles,et al. M-PAES: a memetic algorithm for multiobjective optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[22] Rajesh P. N. Rao,et al. Imitation and Social Learning in Robots, Humans and Animals: A Bayesian model of imitation in infants and robots , 2007 .
[23] Henrik I. Christensen,et al. Evolutionary Development of Hierarchical Learning Structures , 2007, IEEE Transactions on Evolutionary Computation.
[24] M. M. Makela,et al. Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications , 1999 .
[25] Peter A. N. Bosman,et al. Combining gradient techniques for numerical multi-objective evolutionary optimization , 2006, GECCO '06.
[26] Francisco Herrera,et al. A memetic algorithm for evolutionary prototype selection: A scaling up approach , 2008, Pattern Recognit..
[27] Kay Chen Tan,et al. A hybrid evolutionary algorithm for attribute selection in data mining , 2009, Expert Syst. Appl..
[28] J. Delius. Of mind memes and brain bugs; a natural history of culture , 1989 .
[29] Hisao Ishibuchi,et al. An empirical study on the specification of the local search application probability in multiobjective memetic algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.
[30] Yew-Soon Ong,et al. A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms , 2008, ICIC.
[31] Francisco Herrera,et al. Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test , 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.
[32] W. Hart. Adaptive global optimization with local search , 1994 .
[33] Hisao Ishibuchi,et al. Special issue on emerging trends in soft computing: memetic algorithms , 2009, Soft Comput..
[34] Ivor W. Tsang,et al. Predictive Distribution Matching SVM for Multi-domain Learning , 2010, ECML/PKDD.
[35] Pierre-Yves Oudeyer,et al. Intrinsic Motivation Systems for Autonomous Mental Development , 2007, IEEE Transactions on Evolutionary Computation.
[36] F. Heylighen,et al. Cultural Evolution and Memetics , 2008 .
[37] James C. Spall,et al. Introduction to stochastic search and optimization - estimation, simulation, and control , 2003, Wiley-Interscience series in discrete mathematics and optimization.
[38] Gary G. Yen,et al. Dynamic Evolutionary Algorithm With Variable Relocation , 2009, IEEE Transactions on Evolutionary Computation.
[39] Gianluca Baldassarre,et al. Cultural evolution of "guiding criteria" and behaviour in a population of neural-network agents , 2002 .
[40] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[41] Natalio Krasnogor,et al. Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case , 2004, Genetic Programming and Evolvable Machines.
[42] Yung-Keun Kwon,et al. Properties of Symmetric Fitness Functions , 2007, IEEE Trans. Evol. Comput..
[43] Carlos Cotta,et al. Hybridizations of Metaheuristics With Branch & Bound Derivates , 2008, Hybrid Metaheuristics.
[44] Günther R. Raidl,et al. A Memetic Algorithm for Vertex-Biconnectivity Augmentation , 2002, EvoWorkshops.
[45] Tong Heng Lee,et al. Multiobjective Evolutionary Algorithms and Applications (Advanced Information and Knowledge Processing) , 2005 .
[46] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[47] Ville Tirronen,et al. Super-fit control adaptation in memetic differential evolution frameworks , 2009, Soft Comput..
[48] Hisao Ishibuchi,et al. Special Issue on Memetic Algorithms , 2007, IEEE Trans. Syst. Man Cybern. Part B.
[49] Chin-Yuan Fan,et al. Develop a sub-population Memetic Algorithm for multi-objective scheduling problems , 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).
[50] Jürgen Branke,et al. Evolutionary optimization in uncertain environments-a survey , 2005, IEEE Transactions on Evolutionary Computation.
[51] Qingfu Zhang,et al. Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model , 2010, IEEE Transactions on Evolutionary Computation.
[52] Xin Yao,et al. Population-Based Incremental Learning With Associative Memory for Dynamic Environments , 2008, IEEE Transactions on Evolutionary Computation.
[53] Gregory Gutin,et al. Generalized Traveling Salesman Problem Reduction Algorithms , 2008, Algorithmic Oper. Res..
[54] Jürgen Branke,et al. On the Influence of Phenotype Plasticity on Genotype Diversity , 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.
[55] A. Keane,et al. Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling , 2003 .
[56] Natalio Krasnogor,et al. A study on the design issues of Memetic Algorithm , 2007, 2007 IEEE Congress on Evolutionary Computation.
[57] Thomas Stützle,et al. Ant Colony Optimization , 2009, EMO.
[58] Kok Wai Wong,et al. Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems , 2005 .
[59] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[60] Hisao Ishibuchi,et al. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining , 2004, Fuzzy Sets Syst..
[61] Yoel Tenne,et al. A framework for memetic optimization using variable global and local surrogate models , 2009, Soft Comput..
[62] Fernando Ramos,et al. Evolving Insect Locomotion Using Cooperative Genetic Programming , 2000, MICAI.
[63] Tao Gong,et al. Exploring the Roles of Horizontal, Vertical, and Oblique Transmissions in Language Evolution , 2010, Adapt. Behav..
[64] Hitoshi Iba,et al. Accelerating Differential Evolution Using an Adaptive Local Search , 2008, IEEE Transactions on Evolutionary Computation.
[65] Larry Bull,et al. On MemeGene Coevolution , 2000, Artificial Life.
[66] Yew-Soon Ong,et al. Neural Meta-Memes Framework for Combinatorial Optimization , 2010, SEMCCO.
[67] Aaron Lynch. THOUGHT CONTAGION AS ABSTRACT EVOLUTION , 2013 .
[68] Yoel Tenne,et al. A Versatile Surrogate-Assisted Memetic Algorithm for Optimization of Computationally Expensive Functions and its Engineering Applications , 2008 .
[69] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[70] Changhe Li,et al. A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments , 2010, IEEE Transactions on Evolutionary Computation.
[71] Jun Morimoto,et al. Learning from demonstration and adaptation of biped locomotion , 2004, Robotics Auton. Syst..
[72] Byung Ro Moon,et al. A graph-based Lamarckian-Baldwinian hybrid for the sorting network problem , 2005, IEEE Transactions on Evolutionary Computation.
[73] K. Sörensen,et al. Memetic algorithms with population management , 2006 .
[74] Thomas Jansen,et al. On the analysis of the (1+1) evolutionary algorithm , 2002, Theor. Comput. Sci..
[75] Bernhard Sendhoff,et al. Generalizing Surrogate-Assisted Evolutionary Computation , 2010, IEEE Transactions on Evolutionary Computation.
[76] Jer-Lai Kuo,et al. A Hierarchical Approach to Study the Thermal Behavior of Protonated Water Clusters H(+)(H2O)n. , 2009, Journal of chemical theory and computation.
[77] Shahryar Rahnamayan,et al. A novel population initialization method for accelerating evolutionary algorithms , 2007, Comput. Math. Appl..
[78] Luís Moniz Pereira,et al. Belief revision via Lamarckian evolution , 2003, New Generation Computing.
[79] Takahiro Sasaki,et al. Comparison between Lamarckian and Darwinian Evolution on a Model Using Neural Networks and Genetic Algorithms , 2000, Knowledge and Information Systems.
[80] Yew-Soon Ong,et al. A domain knowledge based search advisor for design problem solving environments , 2002 .
[81] Francisco Herrera,et al. Adaptive local search parameters for real-coded memetic algorithms , 2005, 2005 IEEE Congress on Evolutionary Computation.
[82] Vincenzo Cutello,et al. Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization , 2007, ICANNGA.
[83] Graham Kendall,et al. Advanced Population Diversity Measures in Genetic Programming , 2002, PPSN.
[84] Jim Smith,et al. Memetic Algorithms: The Polynomial Local Search Complexity Theory Perspective , 2008, J. Math. Model. Algorithms.
[85] Yoshitaka Kameya,et al. Accelerating genetic programming by frequent subtree mining , 2008, GECCO '08.
[86] Yew-Soon Ong,et al. Non-genetic transmission of memes by diffusion , 2008, GECCO '08.
[87] R. Lewontin. ‘The Selfish Gene’ , 1977, Nature.
[88] Yew-Soon Ong,et al. Optinformatics for schema analysis of binary genetic algorithms , 2008, GECCO '08.
[89] Bernhard Sendhoff,et al. Lamarckian memetic algorithms: local optimum and connectivity structure analysis , 2009, Memetic Comput..
[90] Ville Tirronen,et al. An Enhanced Memetic Differential Evolution in Filter Design for Defect Detection in Paper Production , 2008, Evolutionary Computation.
[91] Murat Köksalan,et al. A Favorable Weight-Based Evolutionary Algorithm for Multiple Criteria Problems , 2010, IEEE Transactions on Evolutionary Computation.
[92] Tong Heng Lee,et al. Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization , 2001, IEEE Trans. Evol. Comput..
[93] Tong Heng Lee,et al. Multiobjective Evolutionary Algorithms and Applications , 2005, Advanced Information and Knowledge Processing.
[94] Luís Nunes,et al. Cooperative Learning Using Advice Exchange , 2002, Adaptive Agents and Multi-Agents Systems.
[95] L. Darrell Whitley,et al. Lamarckian Evolution, The Baldwin Effect and Function Optimization , 1994, PPSN.
[96] Simon Kirby,et al. Spontaneous evolution of linguistic structure-an iterated learning model of the emergence of regularity and irregularity , 2001, IEEE Trans. Evol. Comput..
[97] Takao Terano,et al. Nongovernance rather than governance in a multiagent economic society , 2001, IEEE Trans. Evol. Comput..
[98] Eduardo Reck Miranda,et al. A Connectionist Architecture for the Evolution of Rhythms , 2006, EvoWorkshops.
[99] Hisao Ishibuchi,et al. Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization , 2010, IEEE Transactions on Evolutionary Computation.
[100] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[101] G. B. Alvarenga,et al. Finding Near Optimal Solutions for Vehicle Routing Problems with Time Windows using Hybrid Genetic Algorithm , 2003 .
[102] Dean F. Hougen,et al. Imitating success: a memetic crossover operator for genetic programming , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[103] Hisao Ishibuchi,et al. Evolution of unplanned coordination in a market selection game , 2001, IEEE Trans. Evol. Comput..
[104] Oliver Kramer,et al. DBSCAN-based multi-objective niching to approximate equivalent pareto-subsets , 2010, GECCO '10.
[105] Maja J. Matarić,et al. The Evolutionary Cost of Learning , 1996 .
[106] Carlos Alós-Ferrer,et al. Learning, bounded memory, and inertia☆ , 2008 .
[107] Bernhard Sendhoff,et al. The Influence of Learning on Evolution: A Mathematical Framework , 2009, Artificial Life.
[108] Francisco Herrera,et al. MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization , 2010, IEEE Congress on Evolutionary Computation.
[109] Penousal Machado,et al. GVR: A New Genetic Representation for the Vehicle Routing Problem , 2002, AICS.
[110] Jörg Oechssler,et al. Imitation - Theory and Experimental Evidence , 2003, J. Econ. Theory.
[111] Kay Chen Tan,et al. A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[112] Kay Chen Tan,et al. Multi-Objective Memetic Algorithms , 2009 .
[113] Héctor Pomares,et al. Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems , 2009, Neurocomputing.
[114] Chee Keong Kwoh,et al. Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms , 2010, IEEE Transactions on Evolutionary Computation.
[115] Kyomin Jung,et al. Lower and Upper Bounds for Linkage Discovery , 2009, IEEE Transactions on Evolutionary Computation.
[116] Hisao Ishibuchi,et al. A multi-objective genetic local search algorithm and its application to flowshop scheduling , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[117] Richard A. Watson,et al. On Crossing Fitness Valleys with the Baldwin Effect , 2006 .
[118] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[119] Alain Ratle,et al. Kriging as a surrogate fitness landscape in evolutionary optimization , 2001, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
[120] Jiming Liu,et al. Multiagent Optimization System for Solving the Traveling Salesman Problem (TSP) , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[121] Zbigniew Skolicki,et al. The influence of migration sizes and intervals on island models , 2005, GECCO '05.
[122] Christos D. Tarantilis,et al. Arc-Guided Evolutionary Algorithm for the Vehicle Routing Problem With Time Windows , 2009, IEEE Transactions on Evolutionary Computation.
[123] Hiroyuki Mori,et al. Application of Multi-objective Memetic Algorithm with Solution Diversity to Probabilistic Distribution Network Expansion Planning , 2009 .
[124] Alberto Suárez,et al. Hybrid Approaches and Dimensionality Reduction for Portfolio Selection with Cardinality Constraints , 2010, IEEE Computational Intelligence Magazine.
[125] Jing Liu,et al. A multiagent evolutionary algorithm for constraint satisfaction problems , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[126] Ville Tirronen,et al. Fitness diversity based adaptation in Multimeme Algorithms:A comparative study , 2007, 2007 IEEE Congress on Evolutionary Computation.
[127] E. Borenstein,et al. The effect of phenotypic plasticity on evolution in multipeaked fitness landscapes , 2006, Journal of evolutionary biology.
[128] Ville Tirronen,et al. A Memetic Differential Evolution in Filter Design for Defect Detection in Paper Production , 2009, EvoWorkshops.
[129] Hans-Paul Schwefel,et al. Evolution strategies – A comprehensive introduction , 2002, Natural Computing.
[130] S. Blackmore. The Meme Machine , 1999 .
[131] Ender Özcan,et al. A comprehensive analysis of hyper-heuristics , 2008, Intell. Data Anal..
[132] James Smith,et al. A tutorial for competent memetic algorithms: model, taxonomy, and design issues , 2005, IEEE Transactions on Evolutionary Computation.
[133] Ferrante Neri,et al. Integrating Cross-Dominance Adaptation in Multi-Objective Memetic Algorithms , 2009 .
[134] Carlos Cotta,et al. Finding low autocorrelation binary sequences with memetic algorithms , 2009, Appl. Soft Comput..
[135] Michael N. Vrahatis,et al. Memetic particle swarm optimization , 2007, Ann. Oper. Res..
[136] Natalio Krasnogor,et al. Editorial to the first issue , 2009, Memetic Comput..
[137] Jörn Schönberger. Operational Freight Carrier Planning: Basic Concepts, Optimization Models and Advanced Memetic Algorithms , 2005 .
[138] Stephen E. Levinson,et al. HMM-Based Concept Learning for a Mobile Robot , 2007, IEEE Transactions on Evolutionary Computation.
[139] N. M. Alexandrov,et al. A trust-region framework for managing the use of approximation models in optimization , 1997 .
[140] Riccardo Poli,et al. A Field Guide to Genetic Programming , 2008 .
[141] Carlos A. Coello Coello,et al. HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms , 2010, IEEE Transactions on Evolutionary Computation.
[142] Andy J. Keane,et al. Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[143] Majid Nili Ahmadabadi,et al. Interaction of Culture-based Learning and Cooperative Co-evolution and its Application to Automatic Behavior-based System Design , 2010, IEEE Transactions on Evolutionary Computation.
[144] Bernhard Sendhoff,et al. On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments , 2007, ECAL.
[145] Bernhard Sendhoff,et al. A Model for the Dynamic Interaction Between Evolution and Learning , 2004, Neural Processing Letters.
[146] Kalyanmoy Deb,et al. Multiobjective Problem Solving from Nature: From Concepts to Applications , 2008, Natural Computing Series.
[147] Chai-Yeoung Jung,et al. The optimal solution of TSP using the new mixture initialization and sequential transformation method in genetic algorithm , 2006 .
[148] C. Boutilier,et al. Accelerating Reinforcement Learning through Implicit Imitation , 2003, J. Artif. Intell. Res..
[149] Yaochu Jin,et al. Multi-Objective Machine Learning , 2006, Studies in Computational Intelligence.
[150] Kalyanmoy Deb,et al. Multiobjective Problem Solving from Nature: From Concepts to Applications (Natural Computing Series) , 2008 .
[151] Pablo Moscato,et al. On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms , 1989 .
[152] Dirk Sudholt. Local Search in Evolutionary Algorithms: The Impact of the Local Search Frequency , 2006, ISAAC.
[153] Sébastien Vérel,et al. Local Optima Networks of NK Landscapes With Neutrality , 2011, IEEE Transactions on Evolutionary Computation.
[154] Ronald W. Morrison. Dispersion-Based Population Initialization , 2003, GECCO.
[155] Josh C. Bongard. Accelerating Self-Modeling in Cooperative Robot Teams , 2009, IEEE Transactions on Evolutionary Computation.
[156] Yoel Tenne,et al. A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions , 2007, Evolutionary Computation in Dynamic and Uncertain Environments.
[157] Yew-Soon Ong,et al. A Probabilistic Memetic Framework , 2009, IEEE Transactions on Evolutionary Computation.
[158] Christopher R. Stephens,et al. Limitations of Existing Mutation Rate Heuristics and How a Rank GA Overcomes Them , 2009, IEEE Transactions on Evolutionary Computation.
[159] Takahiro Sasaki,et al. Adaptation toward Changing Environments: Why Darwinian in Nature? , 1997 .
[160] Juan Pavón,et al. Agent-Based Social Modeling and Simulation with Fuzzy Sets , 2008, Innovations in Hybrid Intelligent Systems.
[161] Jin-Kao Hao,et al. A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony , 2009, EvoBIO.
[162] Hisao Ishibuchi,et al. Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems , 2005, EMO.
[163] Gary G. Yen,et al. Constraint Handling in Multiobjective Evolutionary Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[164] Qingfu Zhang,et al. Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[165] Jessica Andrea Carballido,et al. BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering , 2009, BSB.
[166] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[167] Kevin Kok Wai Wong,et al. Classification of adaptive memetic algorithms: a comparative study , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[168] William J. Cook,et al. Implementing the Dantzig-Fulkerson-Johnson algorithm for large traveling salesman problems , 2003, Math. Program..
[169] Xin-She Yang,et al. Nature-Inspired Metaheuristic Algorithms , 2008 .
[170] John Levine,et al. Emerging Cooperation With Minimal Effort: Rewarding Over Mimicking , 2007, IEEE Transactions on Evolutionary Computation.
[171] Shigeo Abe,et al. Tuning membership functions of kernel fuzzy classifiers by maximizing margins , 2009, Memetic Comput..
[172] Hod Lipson,et al. Coevolution of Fitness Predictors , 2008, IEEE Transactions on Evolutionary Computation.
[173] Michael Happold,et al. A Bayesian approach to imitation learning for robot navigation , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[174] Niko Kotilainen,et al. A Memetic-Neural Approach to Discover Resources in P2P Networks , 2008, Recent Advances in Evolutionary Computation for Combinatorial Optimization.
[175] Kwang Mong Sim,et al. Evolutionary asymmetric games for modeling systems of partially cooperative agents , 2005, IEEE Trans. Evol. Comput..
[176] Giles Mayley. The Evolutionary Cost of Learning , 1996 .
[177] Mark Sumner,et al. A Fast Adaptive Memetic Algorithm for Online and Offline Control Design of PMSM Drives , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[178] Jing Tang,et al. Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems , 2006, Soft Comput..
[179] Natalio Krasnogor,et al. A Study on the use of ``self-generation'' in memetic algorithms , 2004, Natural Computing.
[180] Larry Bull,et al. Coevolutionary Species Adaptation Genetic Algorithms: A Continuing SAGA on Coupled Fitness Landscapes , 2005, ECAL.
[181] Xin Yao,et al. Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems , 2009, IEEE Transactions on Evolutionary Computation.
[182] Jing Tang,et al. Adaptation for parallel memetic algorithm based on population entropy , 2006, GECCO '06.
[183] Matteo Gaeta,et al. Exploring e-Learning Knowledge Through Ontological Memetic Agents , 2010, IEEE Computational Intelligence Magazine.
[184] Shengxiang Yang,et al. A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems , 2009, Soft Comput..
[185] C. N Bouza,et al. Spall, J.C. Introduction to stochastic search and optimization. Estimation, simulation and control. Wiley Interscience Series in Discrete Mathematics and Optimization, 2003 , 2004 .
[186] Chee Keong Kwoh,et al. Using classification for constrained memetic algorithm: A new paradigm , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.
[187] Yaochu Jin,et al. A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..
[188] Rolf Niedermeier,et al. Invitation to Fixed-Parameter Algorithms , 2006 .
[189] Héctor Pomares,et al. Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems , 2007, IWANN.
[190] Natalio Krasnogor,et al. Adaptive Cellular Memetic Algorithms , 2009, Evolutionary Computation.
[191] Donald E. Grierson,et al. Comparison among five evolutionary-based optimization algorithms , 2005, Adv. Eng. Informatics.
[192] Shengxiang Yang,et al. Evolutionary Computation in Dynamic and Uncertain Environments , 2007, Studies in Computational Intelligence.
[193] Carlos A. Coello Coello,et al. Current and Future Research Trends in Evolutionary Multiobjective Optimization , 2005 .
[194] DebK.,et al. A fast and elitist multiobjective genetic algorithm , 2002 .
[195] Petra Mutzel,et al. Combining a Memetic Algorithm with Integer Programming to Solve the Prize-Collecting Steiner Tree Problem , 2004, GECCO.
[196] Ah-Hwee Tan,et al. Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback , 2008, IEEE Transactions on Neural Networks.
[197] Chai-Yeoung Jung,et al. The Improved Initialization Method of Genetic Algorithm for Solving the Optimization Problem , 2006, ICONIP.
[198] David E. Goldberg,et al. Designing Efficient Genetic and Evolutionary Algorithm Hybrids , 2005 .
[199] P. Fleming,et al. Convergence Acceleration Operator for Multiobjective Optimization , 2007, IEEE Transactions on Evolutionary Computation.
[200] Hisao Ishibuchi,et al. Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling , 2003, IEEE Trans. Evol. Comput..
[201] Kwang Ryel Ryu,et al. A Dual-Population Genetic Algorithm for Adaptive Diversity Control , 2010, IEEE Transactions on Evolutionary Computation.
[202] Kai-Yew Lum,et al. Max-min surrogate-assisted evolutionary algorithm for robust design , 2006, IEEE Transactions on Evolutionary Computation.
[203] Lawrence J. Fogel,et al. Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming , 1999 .
[204] Peter Merz,et al. NK -Fitness Landscapes and Memetic Algorithms with Greedy Operators and k -opt Local Search , 2005 .
[205] Chia-Hsuan Yeh,et al. Toward An Integration Of Social Learning And Individual Learning In Agent-Based Computational Stock Markets:The Approach Based On Population Genetic Programming , 2000 .
[206] D. Dasgupta,et al. Advances in artificial immune systems , 2006, IEEE Computational Intelligence Magazine.