Description: Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness "Handbook of Memetic Algorithms" organizes, in a structured way, all the the most important results in the field of MAs since their earliest definition until A broad review including various algorithmic solutions as well as successful applications is included in this Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem, memetic recipes for tackling the difficulties are given with some successful Although this book contains chapters written by multiple authors, a great attention has been given by the editors to make it a compact and ...

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