Review of meta-heuristics and generalised evolutionary walk algorithm
by Xin-She Yang
International Journal of Bio-Inspired Computation (IJBIC), Vol. 3, No. 2, 2011

Abstract: Meta-heuristic algorithms are often nature-inspired, and they are becoming very powerful in solving global optimisation problems. More than a dozen major meta-heuristic algorithms have been developed over the last three decades, and there exist even more variants and hybrids of meta-heuristics. This paper intends to provide an overview of nature-inspired meta-heuristic algorithms, from a brief history to their applications. We try to analyse the main components of these algorithms and how and why they work. Then, we intend to provide a unified view of meta-heuristics by proposing a generalised evolutionary walk algorithm (GEWA). Finally, we discuss some of the important open questions.

Online publication date: Sat, 23-Apr-2011

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