Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
The performance of most metaheuristic algorithms depends on parameters whose settings essentially serve as a key function in determining the quality of the solution and the efficiency of the search. A trend that has emerged recently is to make the algorithm parameters automatically adapt to differen...
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| Format: | Article |
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Elsevier
2018
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