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» "Optimal" mutation rates for genetic search
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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 8 months ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
13 years 5 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
ICGA
1993
140views Optimization» more  ICGA 1993»
13 years 6 months ago
Expected Allele Coverage and the Role of Mutation in Genetic Algorithms
It is part of the traditional lore of genetic algorithms that low mutation rates lead to efficient search of the solution space, while high mutation rates result in diffusion of s...
David M. Tate, Alice E. Smith
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
13 years 10 months ago
EA models and population fixed-points versus mutation rates for functions of unitation
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
J. Neal Richter, John Paxton, Alden H. Wright
GECCO
2005
Springer
207views Optimization» more  GECCO 2005»
13 years 10 months ago
Adaptive crossover and mutation in genetic algorithms based on clustering technique
Instead of having fixed px and pm, this paper presents the use of fuzzy logic to adaptively tune px and pm for optimization of power electronic circuits throughout the process. By...
Jun Zhang, Henry Shu-Hung Chung, Jinghui Zhong