Abstract
Meta-heuristics are the most recent development in approximate search methods for solving complex optimization problems, that arise in business , commerce, engineering, industry, and many other areas. A meta-heuristic guides a subordinate heuristic using concepts derived from artificial intelligence, biological, mathematical, natural and physical sciences to improve their performance. We shall present brief overviews for the most successful meta-heuristics. The paper concludes with future directions in this growing area of research.
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CITATION STYLE
Osman, I. H., & Kelly, J. P. (1996). Meta-Heuristics: An Overview. In Meta-Heuristics (pp. 1–21). Springer US. https://doi.org/10.1007/978-1-4613-1361-8_1
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