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» A Grid-Oriented Genetic Algorithm
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GECCO
2005
Springer
207views Optimization» more  GECCO 2005»
14 years 3 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
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
14 years 1 months ago
Multi-objective genetic algorithms for pipe arrangement design
This paper presents an automatic design method for piping arrangement. A pipe arrangement design problem is proposed for a space in which many pipes and objects co-exist. This pro...
Satoshi Ikehira, Hajime Kimura
ASPDAC
2000
ACM
92views Hardware» more  ASPDAC 2000»
14 years 1 months ago
Genetic algorithm accelerator GAA-II
We have developed a new GA hardware called GAA-I (Genetic Algorithm Accelerator-I), in which the crossover operator to be applied to each individual was dynamically selected during...
Shin'ichi Wakabayashi, Tetsushi Koide, Nayoshi Tos...
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
14 years 1 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
SPDP
1991
IEEE
14 years 1 months ago
Asynchronous parallel search by the parallel genetic algorithm
The parallel genetic algorithm (PGA) is a prototype of a new kind of a distributed algorithm. It is based on a parallel search by individuals all of which have the complete proble...
Heinz Mühlenbein