By Xin-She Yang
ISBN-10: 3319302337
ISBN-13: 9783319302331
This well timed overview booklet summarizes the
state-of-the-art advancements in nature-inspired optimization algorithms and
their purposes in engineering. Algorithms and themes comprise the overview
and historical past of nature-inspired algorithms, discrete firefly set of rules, discrete
cuckoo seek, plant propagation set of rules, parameter-free bat algorithm,
gravitational seek, biogeography-based set of rules, differential evolution,
particle swarm optimization and others. purposes comprise car routing,
swarming robots, discrete and combinatorial optimization, clustering of
wireless sensor networks, cellphone formation, monetary load dispatch, metamodeling,
surrogated-assisted cooperative co-evolution, information becoming and reverse
engineering in addition to different case stories in engineering. This publication might be an
ideal reference for researchers, academics, graduates and engineers who are
interested in nature-inspired computation, synthetic intelligence and
computational intelligence. it may well additionally function a reference for relevant
courses in desktop technology, synthetic intelligence and computing device studying, natural
computation, engineering optimization and knowledge mining.
Read Online or Download Nature-Inspired Computation in Engineering (Studies in Computational Intelligence) PDF
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Nature-Inspired Computation in Engineering (Studies in Computational Intelligence) by Xin-She Yang
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