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A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-9857-4317
Univ Cadiz, Spain.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-3425-3837
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Univ Granada, Spain.
2015 (English)In: INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, ISSN 1875-6891, Vol. 8, no 4, 606-636 p.Article in journal (Refereed) Published
Abstract [en]

Metaheuristics has attained increasing interest for solving complex real-world problems. This paper studies the principles and the state-of-the-art of metaheuristic methods for engineering optimization. Both the classic and emerging approaches to optimization using metaheuristics are reviewed and analyzed. All the methods are discussed in three basic types: trajectory-based, in which in each step a new solution is created from the previous one; multi-trajectory-based, in which a multi-start mechanism is used; and population-based, where multiple new solutions are created considering a population of approximate solutions. We further discuss algorithms and strategies to handle multi-modal and multi-objective optimization tasks as well as methods for parallel implementation of metaheuristic algorithms. Then, different software frameworks for metaheuristics are introduced. Finally, several interesting directions are pointed out as future research trends.

Place, publisher, year, edition, pages
2015. Vol. 8, no 4, 606-636 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-27993DOI: 10.1080/18756891.2015.1046324ISI: 000353952500001Scopus ID: 2-s2.0-84930999593OAI: oai:DiVA.org:mdh-27993DiVA: diva2:813441
Available from: 2015-05-22 Created: 2015-05-22 Last updated: 2016-12-27Bibliographically approved

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CiteExportLink to record
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