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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Differential Evolution: From Theory to Practice

Differential Evolution: From Theory to Practice

Kumar, B. Vinoth
Oliva, Diego
Suganthan, P. N.

Hardcover

Series: Studies in Computational Intelligence, Book 1009

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 9811680817
ISBN13: 9789811680816
Publisher: Springer Nature
Published: Jan 26 2022
Pages: 381
Weight: 1.61
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English

This book addresses and disseminates state-of-the-art research and development of differential evolution (DE) and its recent advances, such as the development of adaptive, self-adaptive and hybrid techniques. Differential evolution is a population-based meta-heuristic technique for global optimization capable of handling non-differentiable, non-linear and multi-modal objective functions. Many advances have been made recently in differential evolution, from theory to applications. This book comprises contributions which include theoretical developments in DE, performance comparisons of DE, hybrid DE approaches, parallel and distributed DE for multi-objective optimization, software implementations, and real-world applications. The book is useful for researchers, practitioners, and students in disciplines such as optimization, heuristics, operations research and natural computing.

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