Combining competent crossover and mutation operators: a probabilistic model building approach
暂无分享,去创建一个
David E. Goldberg | Kumara Sastry | Cláudio F. Lima | Fernando G. Lobo | D. Goldberg | K. Sastry | F. Lobo | Cláudio F. Lima
[1] David E. Goldberg,et al. Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods , 2004, GECCO.
[2] Kalyanmoy Deb,et al. Messy Genetic Algorithms: Motivation, Analysis, and First Results , 1989, Complex Syst..
[3] Alden H. Wright,et al. Efficient Linkage Discovery by Limited Probing , 2003, Evolutionary Computation.
[4] William M. Spears,et al. Crossover or Mutation? , 1992, FOGA.
[5] G. Harik. Linkage Learning via Probabilistic Modeling in the ECGA , 1999 .
[6] Hans-Georg Beyer,et al. Toward a Theory of Evolution Strategies: Self-Adaptation , 1995, Evolutionary Computation.
[7] Franz Rothlauf,et al. Evaluation-Relaxation Schemes for Genetic and Evolutionary Algorithms , 2004 .
[8] David E. Goldberg,et al. Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[9] Schloss Birlinghoven,et al. How Genetic Algorithms Really Work I.mutation and Hillclimbing , 2022 .
[10] David E. Goldberg,et al. Linkage Identification by Non-monotonicity Detection for Overlapping Functions , 1999, Evolutionary Computation.
[11] David E. Goldberg,et al. The compact genetic algorithm , 1999, IEEE Trans. Evol. Comput..
[12] Peter A. N. Bosman,et al. Design and Application of iterated Density-Estimation Evolutionary Algorithms , 2003 .
[13] David E. Goldberg,et al. Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm , 2002, PPSN.
[14] Heinz Mühlenbein,et al. How Genetic Algorithms Really Work: Mutation and Hillclimbing , 1992, PPSN.
[15] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[16] Natalio Krasnogor,et al. Studies on the theory and design space of memetic algorithms , 2002 .
[17] David E. Goldberg,et al. Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm , 2003, GECCO.
[18] Thomas Bäck,et al. Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms , 1996 .
[19] David E. Goldberg,et al. The Design of Innovation: Lessons from and for Competent Genetic Algorithms , 2002 .
[20] H. P. Schwefel,et al. Numerische Optimierung von Computermodellen mittels der Evo-lutionsstrategie , 1977 .
[21] Hussein A. Abbass,et al. Sub-structural Niching in Non-stationary Environments , 2004, Australian Conference on Artificial Intelligence.
[22] Kalyanmoy Deb,et al. Analyzing Deception in Trap Functions , 1992, FOGA.
[23] Pablo Moscato,et al. On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms , 1989 .
[24] D. Ackley. A connectionist machine for genetic hillclimbing , 1987 .
[25] Hillol Kargupta,et al. The Gene Expression Messy Genetic Algorithm , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.
[26] David B. Fogel,et al. Evolutionary algorithms in theory and practice , 1997, Complex.
[27] David E. Goldberg,et al. Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence , 2000, GECCO.
[28] Martin Pelikan,et al. Fitness Inheritance in the Bayesian Optimization Algorithm , 2004, GECCO.
[29] Kalyanmoy Deb,et al. Optimization for Engineering Design: Algorithms and Examples , 2004 .
[30] David E. Goldberg,et al. Computer-aided pipeline operation using genetic algorithms and rule learning. PART II: Rule learning control of a pipeline under normal and abnormal conditions , 1987, Engineering with Computers.
[31] David E. Goldberg,et al. Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head , 2004, GECCO.
[32] David E. Goldberg,et al. Optimizing Global-Local Search Hybrids , 1999, GECCO.
[33] Thomas Bäck,et al. Evolutionary Algorithms: The Role of Mutation and Recombination , 2000 .
[34] Kalyanmoy Deb,et al. RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms , 1993, ICGA.
[35] W. Vent,et al. Rechenberg, Ingo, Evolutionsstrategie — Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. 170 S. mit 36 Abb. Frommann‐Holzboog‐Verlag. Stuttgart 1973. Broschiert , 1975 .
[36] David E. Goldberg,et al. The Race, the Hurdle, and the Sweet Spot , 1998 .
[37] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[38] Dirk V. Arnold,et al. Noisy Optimization With Evolution Strategies , 2002, Genetic Algorithms and Evolutionary Computation.
[39] David E. Goldberg,et al. Learning Linkage , 1996, FOGA.
[40] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[41] David E. Goldberg,et al. Bayesian Optimization Algorithm: From Single Level to Hierarchy , 2002 .
[42] D. Goldberg,et al. Escaping hierarchical traps with competent genetic algorithms , 2001 .
[43] Ingo Rechenberg,et al. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .
[44] W. Hart. Adaptive global optimization with local search , 1994 .
[45] David E. Goldberg,et al. Scalability of the Bayesian optimization algorithm , 2002, Int. J. Approx. Reason..
[46] D. Goldberg,et al. BOA: the Bayesian optimization algorithm , 1999 .