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View all- Baghshah MShouraki SHalavati RLucas C(2007)Evolving fuzzy classifiers using a symbiotic approach2007 IEEE Congress on Evolutionary Computation10.1109/CEC.2007.4424664(1601-1607)Online publication date: Sep-2007
Genetic algorithms (GAs) are well-known heuristic algorithms and have been applied to solve a variety of complicated problems. When adopting GA approaches, two important issues--selection pressure and population diversity--must be considered. This work ...
The job-shop scheduling problem is the important issues to the research of optimal problems. Besides, tabu search is also applied to GA, called TGA for traveling salesman problem (TSP) that has better effectiveness than GA. Thus, this is an interest and ...
Recombination in the Genetic Algorithm (GA) is supposed to extract the component characteristics from two parents and reassemble them in different combinations - hopefully producing an offspring that has the good characteristics of both parents. ...
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