Problem Difficulty and Code Growth in Genetic Programming
暂无分享,去创建一个
Graham Kendall | Edmund K. Burke | Anikó Ekárt | Steven M. Gustafson | G. Kendall | E. Burke | A. Ekárt
[1] K. Chellapilla,et al. Investigating the influence of depth and degree of genotypic change on fitness in genetic programming , 1999 .
[2] B. W.,et al. Size Fair and Homologous Tree Genetic Programming Crossovers , 1999 .
[3] Jason M. Daida,et al. What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming , 1999, Genetic Programming and Evolvable Machines.
[4] Riccardo Poli,et al. Fitness Causes Bloat: Mutation , 1997, EuroGP.
[5] David E. Goldberg,et al. Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming , 1998, EuroGP.
[6] Peter W. H. Smith,et al. Code Growth, Explicitly Defined Introns, and Alternative Selection Schemes , 1998, Evolutionary Computation.
[7] Una-May O'Reilly. The Impact of External Dependency in Genetic Programming Primitives , 1998, Canadian Conference on AI.
[8] F. Oppacher,et al. Hybridized crossover-based search techniques for program discovery , 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.
[9] John R. Koza,et al. Genetic programming 1997 : proceedings of the Second Annual Conference, July 13-16, 1997, Stanford University , 1997 .
[10] Anikó Ekárt,et al. Selection Based on the Pareto Nondomination Criterion for Controlling Code Growth in Genetic Programming , 2001, Genetic Programming and Evolvable Machines.
[11] N. Hopper,et al. Analysis of genetic diversity through population history , 1999 .
[12] Annie S. Wu,et al. Putting More Genetics into Genetic Algorithms , 1998, Evolutionary Computation.
[13] Terence Soule,et al. Effects of Code Growth and Parsimony Pressure on Populations in Genetic Programming , 1998, Evolutionary Computation.
[14] Byoung-Tak Zhang,et al. Balancing Accuracy and Parsimony in Genetic Programming , 1995, Evolutionary Computation.
[15] William B. Langdon,et al. Quadratic Bloat in Genetic Programming , 2000, GECCO.
[16] Sean Luke,et al. Modification Point Depth and Genome Growth in Genetic Programming , 2003, Evolutionary Computation.
[17] Anikó Ekárt,et al. Maintaining the Diversity of Genetic Programs , 2002, EuroGP.
[18] Riccardo Poli,et al. Foundations of Genetic Programming , 1999, Springer Berlin Heidelberg.
[19] Riccardo Poli,et al. A Simple but Theoretically-Motivated Method to Control Bloat in Genetic Programming , 2003, EuroGP.
[20] Walter Alden Tackett,et al. Recombination, selection, and the genetic construction of computer programs , 1994 .
[21] Terence Soule,et al. An Analysis of the Causes of Code Growth in Genetic Programming , 2002, Genetic Programming and Evolvable Machines.
[22] Edwin D. de Jong,et al. Reducing bloat and promoting diversity using multi-objective methods , 2001 .
[23] Graham Kendall,et al. Advanced Population Diversity Measures in Genetic Programming , 2002, PPSN.
[24] Anikó Ekárt,et al. Shorter Fitness Preserving Genetic Programs , 1999, Artificial Evolution.
[25] Sean Luke,et al. Lexicographic Parsimony Pressure , 2002, GECCO.
[26] D. Goldberg. How Fitness Structure Affects Subsolution Acquisition in Genetic Programming , 1998 .
[27] Sean Luke,et al. Fighting Bloat with Nonparametric Parsimony Pressure , 2002, PPSN.
[28] Takuji Nishimura,et al. Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator , 1998, TOMC.
[29] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[30] Una-May O’Reilly. Using a distance metric on genetic programs to understand genetic operators , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
[31] ProgrammingJustinian P. RoscaComputer. Analysis of Complexity Drift in Genetic , 1997 .
[32] Riccardo Poli,et al. The evolution of size and shape , 1999 .
[33] Anikó Ekárt,et al. A Metric for Genetic Programs and Fitness Sharing , 2000, EuroGP.
[34] Hitoshi Iba,et al. Genetic programming using a minimum description length principle , 1994 .
[35] William B. Langdon,et al. Size Fair and Homologous Tree Crossovers for Tree Genetic Programming , 2000, Genetic Programming and Evolvable Machines.