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» Parallel genetic algorithm taxonomy
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1999
Springer
9 years 11 months ago
Parallel genetic algorithm taxonomy
—Genetic Algorithms (GAs) are powerful search techniques that are used to solve difficult problems in many disciplines. Unfortunately, they can be very demanding in terms of com...
Mariusz Nowostawski, Riccardo Poli
HEURISTICS
2002
254views more  HEURISTICS 2002»
9 years 6 months ago
A Taxonomy of Hybrid Metaheuristics
Hybrid metaheuristics have received considerable interest these recent years in the field of combinatorial optimization. A wide variety of hybrid approaches have been proposed in ...
El-Ghazali Talbi
ICTAI
2008
IEEE
10 years 1 months ago
Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm
We introduce a new adaptive genetic method for AVT generation, MCM-AVT-Learner. The MCM-AVTLearner imports the mutation and crossover matrices which makes effective use of the fi...
Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yan...
HM
2005
Springer
87views Optimization» more  HM 2005»
10 years 14 days ago
A Taxonomy of Cooperative Search Algorithms
A lot of heuristic approaches have been explored in the last two decades in order to tackle large size optimization problems. These areas include parallel meta-heuristics, hybrid m...
Mohammed El-Abd, Mohamed Kamel
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
10 years 29 days ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
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