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Applied Metaheuristic Computing

For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact...

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Andere auteurs: Yin, Peng-Yeng (Redacteur), Chang, Ray-I (Redacteur), Gheraibia, Youcef (Redacteur), Chuang, Ming-Chin (Redacteur), Lin, Hua-Yi (Redacteur), Lee, Jen-Chun (Redacteur)
Formaat: Elektronisch Hoofdstuk
Taal:Engels
Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Onderwerpen:
Technology: general issues
History of engineering & technology
metaheuristics
heuristics
optimization
artificial intelligence
energy
information security
recognition
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DOAB: description of the publication
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Samenvatting:For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact methods are constrained with prior assumptions, and partly due to the heuristics being problem-dependent and lacking generalization. AMC, on the contrary, guides the course of low-level heuristics to search beyond the local optimality, which impairs the capability of traditional computation methods. This topic series has collected quality papers proposing cutting-edge methodology and innovative applications which drive the advances of AMC.
Fysieke beschrijving:1 electronic resource (684 p.)
ISBN:books978-3-0365-5570-6
9783036555690
9783036555706
Toegang:Open Access

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