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» The Spatially-Dispersed Genetic Algorithm
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120
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GECCO
2000
Springer
131views Optimization» more  GECCO 2000»
15 years 7 months ago
A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization
The integration of genetic algorithms (GAs) and tabu search is one of traditional problems in function optimization in the GA literature. However, most proposed methods have utili...
Setsuya Kurahashi, Takao Terano
131
Voted
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
15 years 9 months ago
Adaptive sizing of populations and number of islands in distributed genetic algorithms
Deciding the appropriate population size and number of islands for distributed island-model genetic algorithms is often critical to the algorithm’s success. This paper outlines ...
Johan Berntsson, Maolin Tang
129
Voted
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
15 years 9 months ago
Parallel genetic algorithms on line topology of heterogeneous computing resources
This paper evaluates a parallel genetic algorithm (GA) on the line topology of heterogeneous computing resources. Evolution process of parallel GAs is investigated on two types of...
Yiyuan Gong, Morikazu Nakamura, Shiro Tamaki
122
Voted
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 7 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
143
Voted
GECCO
2006
Springer
282views Optimization» more  GECCO 2006»
15 years 7 months ago
A genetic algorithm for the longest common subsequence problem
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
Brenda Hinkemeyer, Bryant A. Julstrom