Автор: Giovanni Squillero

This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial problems. It presents a discussion of the theoretical a …

Evolutionary computation (EC) techniques are e?cient, nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple und …

‘Industrial applications of evolutionary algorithms’ is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating o …

This book constitutes the refereed conference proceedings of the 18th International Conference on the Applications of Evolutionary Computation, Evo Applications 2015, held in Copenhagen, Spain, in Ap …

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, Evo Applications 2017, held in Ams …

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, Evo Applications 2017, held in Ams …

Evolutionary Computation (EC) deals with problem solving, optimization, and machine learning techniques inspired by principles of natural evolution and – netics. Just from this basic de?nition, it is …

Evolutionary computation (EC) techniques are e?cient nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and the simple …

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This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, Evo Applications 2012, held in Malaga, Spain, in April 2012, colocated …