835 search results - page 19 / 167 » Dynamic populations in genetic algorithms |
GECCO
2000
Springer
15 years 1 months ago
2000
Springer
Traditional Genetic Algorithms (GA) use crossover and mutation as the main genetic operators to achieve population diversity. Previous work using a biologically inspired genetic o...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
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ICGA
1993
14 years 10 months ago
1993
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...
TEC
2002
14 years 9 months ago
2002
This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionary algorithm (QEA), which is based on the concept and principl...
FLAIRS
2007
14 years 12 months ago
2007
In this work we explore how the complexity of a problem domain affects the performance of evolutionary search using a performance-based restart policy. Previous research indicates...