Reprint

Applied Metaheuristic Computing

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

This is a Reprint of the Topic that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences
Engineering
Environmental & Earth Sciences
Business & Economics
Summary

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.

Related Books

November 2022

Applied (Meta)-Heuristic in Intelligent Systems

Computer Science & Mathematics
...
December 2020

Evolutionary Algorithms in Intelligent Systems

Computer Science & Mathematics
...
September 2024

Evolutionary Computation: Theories, Techniques, and Applications

Computer Science & Mathematics
November 2020

Evolutionary Computation & Swarm Intelligence

Computer Science & Mathematics
...

The recommendations have been generated using an AI system.