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Original Articles

Metaheuristics: review and application

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Pages 503-526 | Received 24 May 2012, Accepted 30 Sep 2012, Published online: 20 May 2013
 

Abstract

The area of metaheuristics has grown immensely in the past two decades as a solution to real-world optimisation problems. They are able to perform well in situations where exact optimisation techniques fail to deliver satisfactory results. For complex optimisation problems (Nondeterministic polynomial time-hard problems), metaheuristic techniques are able to generate good quality solution in relatively much less time than traditional optimisation techniques. Metaheuristics find applications in a wide range of areas including finance, planning, scheduling and engineering design. This paper presents a review of various metaheuristic algorithms, their methodology, recent trends and applications.

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