A practical framework for adaptive metaheuristics
نویسنده
چکیده
منابع مشابه
Adaptive Learning Search, a New Tool to Help Comprehending Metaheuristics
The majority of the algorithms used to solve hard optimization problems today are population metaheuristics. These methods are often presented under a purely algorithmic angle, while insisting on the metaphors which led to their design. We propose in this article to regard population metaheuristics as methods making evolution a probabilistic sampling of the objective function, either explicitly...
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