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» Mutation Rates in the Context of Hybrid Genetic Algorithms
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GECCO
2004
Springer
126views Optimization» more  GECCO 2004»
14 years 1 months ago
A Gene Based Adaptive Mutation Strategy for Genetic Algorithms
In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests us...
Sima Uyar, Sanem Sariel, Gülsen Eryigit
IICAI
2003
13 years 9 months ago
A Hybrid Genetic Algorithm for Minimum Vertex Cover Problem
Minimum vertex cover problem (MVCP) is an NP-hard problem and it has numerous real life applications. This paper presents hybrid genetic algorithm (HGA) to solve MVCP efficiently. ...
Ketan Kotecha, Nilesh Gambhava
ECML
2004
Springer
13 years 11 months ago
Population Diversity in Permutation-Based Genetic Algorithm
Abstract. This paper presents an empirical study of population diversity measure and adaptive control of diversity in the context of a permutation-based algorithm for Traveling Sal...
Kenny Qili Zhu, Ziwei Liu
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 1 months ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule
GECCO
2005
Springer
207views Optimization» more  GECCO 2005»
14 years 1 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