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Efficient Optimization Using Metaheuristics

Efficient Optimization Using Metaheuristics

Sergio Nesmachnow
Copyright: © 2018 |Pages: 11
ISBN13: 9781522522553|ISBN10: 1522522557|EISBN13: 9781522522560
DOI: 10.4018/978-1-5225-2255-3.ch669
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MLA

Nesmachnow, Sergio. "Efficient Optimization Using Metaheuristics." Encyclopedia of Information Science and Technology, Fourth Edition, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2018, pp. 7693-7703. https://doi.org/10.4018/978-1-5225-2255-3.ch669

APA

Nesmachnow, S. (2018). Efficient Optimization Using Metaheuristics. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, Fourth Edition (pp. 7693-7703). IGI Global. https://doi.org/10.4018/978-1-5225-2255-3.ch669

Chicago

Nesmachnow, Sergio. "Efficient Optimization Using Metaheuristics." In Encyclopedia of Information Science and Technology, Fourth Edition, edited by Mehdi Khosrow-Pour, D.B.A., 7693-7703. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2255-3.ch669

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Abstract

This chapter provides an insight into the main concepts, theoretical advances, and experimental results in the field of metaheuristics, when applied for efficiently solving real-world optimization problems. A general view of the most well-known metaheuristic methods is presented. After that, relevant applications of metaheuristics in nowadays real-world problems from several domains are described, highlighting on their capabilities to solve complex problems with high efficiency. Finally, the main current and future research lines in the field are also summarized and commented.

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