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» Dynamic populations in genetic algorithms
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ICNC
2009
Springer
15 years 4 months ago
An Improved Greedy Genetic Algorithm for Solving Travelling Salesman Problem
—Genetic algorithm (GA) is too dependent on the initial population and a lack of local search ability. In this paper, an improved greedy genetic algorithm (IGAA) is proposed to o...
Zhenchao Wang, Haibin Duan, Xiangyin Zhang
GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
15 years 1 months ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
15 years 2 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 3 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
ISPAN
2005
IEEE
15 years 3 months ago
A Hybrid Algorithm for Dynamic Lightpath Protection in Survivable WDM Optical Networks
- Dynamic lightpath protection in survivable WDM networks requires finding a pair of diverse routes (i.e., a primary route and a backup route that are link-disjoint) that form a cy...
Vinh Trong Le, Son-Hong Ngo, Xiaohong Jiang, Susum...