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Differential Evolution: From Theory to Practice (Hardcover, 1st ed. 2022)
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Differential Evolution: From Theory to Practice (Hardcover, 1st ed. 2022)
Series: Studies in Computational Intelligence, 1009
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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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