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Neutrality: A Necessity for Self-Adaptation (2002) [15 citations — 5 self]

Abstract:

Self-adaptation is used in all main paradigms of evolutionary computation to increase e#ciency. We claim that the basis of self-adaptation is the use of neutrality. In the absence of external control neutrality allows a variation of the search distribution without the risk of fitness loss.

Citations

452 Evolutionary Computation: Toward a New Philosophy of Machine Intelligence – Fogel - 1995
129 Completly derandomized self-adaptation in evolution strategies – Hansen, Ostermeier
116 Parameter control in evolutionary algorithms – Eiben, Hinterding, et al. - 1999
91 Equivalence class analysis of genetic algorithms – Radcliffe - 1991
87 Self-Adaptation in Genetic Algorithms – Back - 1992
84 Evolution and Optimum Seeking. SixthGeneration Computer Technology Series – Schwefel - 1995
81 An adaptive crossover distribution mechanism for genetic algorithms – Schaffer, Morishima - 1987
70 Linkage problem, distribution estimation, and Bayesian networks – Pelikan, Goldberg - 1998
59 Adaptive and self-adaptive evolutionary computations – Angeline - 1995
54 Exploring phenotype space through neutral evolution – Huynen - 1996
49 Two self-adaptive crossover operations for genetic programming – Angeline - 1996
46 Evolutionary Rate at the Molecular Level – Kimura - 1968
37 Landscapes and molecular evolution – Schuster - 1997
34 Ruggedness and neutrality -- the NKp family of fitness landscapes – Barnett - 1998
34 A derandomized approach to self-adaptation of evolution strategies – Ostermeier, Gawelczyk, et al. - 1995
31 Operator and parameter adaptation in genetic algorithms – Smith, Fogarty - 1997
29 Effects of neutral selection on the evolution of molecular species – Newman, Engelhardt - 1998
26 An investigation of redundant genotype-phenotype mappings and their role in evolutionary search – Shackleton, Shipman, et al. - 2000
23 The geometry of evolution – Conrad - 1990
19 On neutral networks and evolvability – Ebner, Langguth, et al. - 2001
19 An evolutionary programming approach to self-adaptation on finite state machines – Fogel, Angeline, et al. - 1995
19 Theory of global random search – Zhigljavsky - 1991
18 An overview of parameter control methods by self-adaption in evolutionary algorithms – Bäck - 1998
18 Evolutionsstrategie ’94. Werkstatt Bionik und Evolutionstechnik – Rechenberg - 1994
17 Massively parallel simulated annealing and its relation to evolutionary algorithms – Rudolph - 1994
15 distributions and graphical models in evolutionary optimization – Schemata - 1999
15 Molecular insights into evolution of phenotypes – Schuster
13 Genetic redundancy: Desirable or problematic for evolutionary adaptation – Shipman - 1999
12 Self-adaptive exploration in evolutionary search – Toussaint - 2001
7 Grundlegende empirische Untersuchungen der Parameter von Evolutionsstrategien – Kursawe - 1999
5 Effects of phenotypic redundancy in structure optimization – Igel, Stagge
4 Burden and benefits of redundancy – Weicker, Weicker - 2000
2 Codon bias and mutability in HIV sequences – Stephens, Waelbroeck - 1999
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