Applied Metaheuristic Computing

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Tác giả: Ray-I Chang, Ming-Chin Chuang, Youcef Gheraibia, Jen-Chun Lee, Hua-Yi Lin, Peng-Yeng Yin

Ngôn ngữ: eng

ISBN-13: 978-3036555690

ISBN-13: 978-3036555706

ISBN: books978-3-0365-5570-6

Ký hiệu phân loại:

Thông tin xuất bản: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022

Mô tả vật lý: 1 electronic resource (684 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 377352

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.
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