Applied Metaheuristic Computing

Edited by
November 2022
684 pages
  • ISBN978-3-0365-5569-0 (Hardback)
  • ISBN978-3-0365-5570-6 (PDF)

This book is a reprint of the Topic that was published in

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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.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
metaheuristics; heuristics; optimization; artificial intelligence; energy; information security; recognition