Bounding bloat in genetic programming
暂无分享,去创建一个
Benjamin Doerr | Timo Kötzing | Johannes Lengler | J. A. Gregor Lagodzinski | Benjamin Doerr | Timo Kötzing | J. Lengler | J. Lagodzinski
[1] Ali Esmaili,et al. Probability and Random Processes , 2005, Technometrics.
[2] Frank Neumann,et al. PAC learning and genetic programming , 2011, GECCO '11.
[3] Markus Wagner,et al. Improved Computational Complexity Results for Weighted ORDER and MAJORITY , 2012 .
[4] Markus Wagner,et al. Single- and multi-objective genetic programming: new bounds for weighted order and majority , 2013, FOGA XII '13.
[5] Daniel Johannsen,et al. Random combinatorial structures and randomized search heuristics , 2010 .
[6] Una-May O'Reilly,et al. Program Search with a Hierarchical Variable Lenght Representation: Genetic Programming, Simulated Annealing and Hill Climbing , 1994, PPSN.
[7] Una-May O'Reilly,et al. Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics , 2010, FOGA '11.
[8] Leslie Ann Goldberg,et al. Adaptive Drift Analysis , 2011, Algorithmica.
[9] Eli Upfal,et al. Probability and Computing: Randomized Algorithms and Probabilistic Analysis , 2005 .
[10] Timo Kötzing. Concentration of First Hitting Times Under Additive Drift , 2015, Algorithmica.
[11] Pietro Simone Oliveto,et al. On the Analysis of Simple Genetic Programming for Evolving Boolean Functions , 2016, EuroGP.
[12] Alessandro Panconesi,et al. Concentration of Measure for the Analysis of Randomized Algorithms , 2009 .
[13] Una-May O'Reilly,et al. An analysis of genetic programming , 1995 .
[14] Timo Kötzing,et al. Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming , 2018, PPSN.
[15] Angelika Steger,et al. Drift Analysis and Evolutionary Algorithms Revisited , 2016, Combinatorics, Probability and Computing.
[16] Andrew M. Sutton,et al. The max problem revisited: the importance of mutation in genetic programming , 2012, GECCO '12.
[17] 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.
[18] Sean Luke,et al. Lexicographic Parsimony Pressure , 2002, GECCO.
[19] Dirk Sudholt,et al. The choice of the offspring population size in the (1,λ) EA , 2012, GECCO '12.
[20] Frank Neumann,et al. Computational complexity analysis of multi-objective genetic programming , 2012, GECCO '12.
[21] Luca Manzoni,et al. A comparison between geometric semantic GP and cartesian GP for boolean functions learning , 2014, GECCO.
[22] Xin Yao,et al. A study of drift analysis for estimating computation time of evolutionary algorithms , 2004, Natural Computing.
[23] Xin-She Yang,et al. Introduction to Algorithms , 2021, Nature-Inspired Optimization Algorithms.
[24] Carsten Witt,et al. Tight Bounds on the Optimization Time of a Randomized Search Heuristic on Linear Functions† , 2013, Combinatorics, Probability and Computing.
[25] Alberto Moraglio,et al. Runtime analysis of mutation-based geometric semantic genetic programming on boolean functions , 2013, FOGA XII '13.