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» Population Diversity in Permutation-Based Genetic Algorithm
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ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
15 years 3 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 2 months ago
Memory-based immigrants for genetic algorithms in dynamic environments
Investigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent year...
Shengxiang Yang
IWINAC
2005
Springer
15 years 2 months ago
The Allele Meta-model - Developing a Common Language for Genetic Algorithms
Abstract. Due to the lot of different Genetic Algorithm variants, encodings, and attacked problems, very little general theory is available to explain the internal functioning of ...
Stefan Wagner 0002, Michael Affenzeller
PPSN
1992
Springer
15 years 1 months ago
Nonstationary Function Optimization using the Structured Genetic Algorithm
In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
Dipankar Dasgupta, Douglas R. McGregor
GECCO
2004
Springer
126views Optimization» more  GECCO 2004»
15 years 2 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