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Nature-Inspired Computation in Engineering
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This timely review book summarizes the§state-of-the-art developments in nature-inspired optimization algorithms and§their applications in engineering. Algorithms and topics include the overview§and history of nature-inspired algorithms, discrete firefly algorithm, discrete§cuckoo search, plant propagation algorithm, parameter-free bat algorithm,§gravitational search, biogeography-based algorithm, differential evolution,§particle swarm optimization and others. Applications include vehicle routing,§swarming robots, discrete and combinatorial optimization, clustering of§wireless sensor networks, cell formation, economic load dispatch, metamodeling,§surrogated-assisted cooperative co-evolution, data fitting and reverse§engineering as well as other case studies in engineering. This book will be an§ideal reference for researchers, lecturers, graduates and engineers who are§interested in nature-inspired computation, artificial intelligence and§computational intelligence. It can also serve as a reference for relevant§courses in computer science, artificial intelligence and machine learning, natural§computation, engineering optimization and data mining.§§
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