Optimization using evolutionary metaheuristic techniques: a brief review
Optimization is necessary for finding appropriate solutions to a range of real life problems. Evolutionary-approach-based meta-heuristics have gained prominence in recent years for solving Multi Objective Optimization Problems (MOOP). Multi Objective Evolutionary Approaches (MOEA) has substantial su...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Engenharia de Produção (ABEPRO)
2018-05-01
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| Series: | Brazilian Journal of Operations & Production Management |
| Subjects: | |
| Online Access: | https://bjopm.emnuvens.com.br/bjopm/article/view/425 |
| _version_ | 1811282479536930816 |
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| author | Sajja Radhika Aparna Chaparala |
| author_facet | Sajja Radhika Aparna Chaparala |
| author_sort | Sajja Radhika |
| collection | DOAJ |
| description | Optimization is necessary for finding appropriate solutions to a range of real life problems. Evolutionary-approach-based meta-heuristics have gained prominence in recent years for solving Multi Objective Optimization Problems (MOOP). Multi Objective Evolutionary Approaches (MOEA) has substantial success across a variety of real-world engineering applications. The present paper attempts to provide a general overview of a few selected algorithms, including genetic algorithms, ant colony optimization, particle swarm optimization, and simulated annealing techniques. Additionally, the review is extended to present differential evolution and teaching-learning-based optimization. Few applications of the said algorithms are also presented. This review intends to serve as a reference for further work in this domain. |
| first_indexed | 2024-04-13T01:53:20Z |
| format | Article |
| id | doaj.art-dc079deec7d14d23a93a0cb80043da8d |
| institution | Directory Open Access Journal |
| issn | 2237-8960 |
| language | English |
| last_indexed | 2024-04-13T01:53:20Z |
| publishDate | 2018-05-01 |
| publisher | Associação Brasileira de Engenharia de Produção (ABEPRO) |
| record_format | Article |
| series | Brazilian Journal of Operations & Production Management |
| spelling | doaj.art-dc079deec7d14d23a93a0cb80043da8d2022-12-22T03:07:50ZengAssociação Brasileira de Engenharia de Produção (ABEPRO)Brazilian Journal of Operations & Production Management2237-89602018-05-0115110.14488/BJOPM.2018.v15.n1.a17425Optimization using evolutionary metaheuristic techniques: a brief reviewSajja Radhika0Aparna Chaparala1Dept of CSE, RVR&JC College of Engineering (A), Guntur, APDept of ME, RVR&JC College of Engineering (A), Guntur, APOptimization is necessary for finding appropriate solutions to a range of real life problems. Evolutionary-approach-based meta-heuristics have gained prominence in recent years for solving Multi Objective Optimization Problems (MOOP). Multi Objective Evolutionary Approaches (MOEA) has substantial success across a variety of real-world engineering applications. The present paper attempts to provide a general overview of a few selected algorithms, including genetic algorithms, ant colony optimization, particle swarm optimization, and simulated annealing techniques. Additionally, the review is extended to present differential evolution and teaching-learning-based optimization. Few applications of the said algorithms are also presented. This review intends to serve as a reference for further work in this domain.https://bjopm.emnuvens.com.br/bjopm/article/view/425OptimizationEvolutionary algorithmsMeta-heuristic techniquesApplications. |
| spellingShingle | Sajja Radhika Aparna Chaparala Optimization using evolutionary metaheuristic techniques: a brief review Brazilian Journal of Operations & Production Management Optimization Evolutionary algorithms Meta-heuristic techniques Applications. |
| title | Optimization using evolutionary metaheuristic techniques: a brief review |
| title_full | Optimization using evolutionary metaheuristic techniques: a brief review |
| title_fullStr | Optimization using evolutionary metaheuristic techniques: a brief review |
| title_full_unstemmed | Optimization using evolutionary metaheuristic techniques: a brief review |
| title_short | Optimization using evolutionary metaheuristic techniques: a brief review |
| title_sort | optimization using evolutionary metaheuristic techniques a brief review |
| topic | Optimization Evolutionary algorithms Meta-heuristic techniques Applications. |
| url | https://bjopm.emnuvens.com.br/bjopm/article/view/425 |
| work_keys_str_mv | AT sajjaradhika optimizationusingevolutionarymetaheuristictechniquesabriefreview AT aparnachaparala optimizationusingevolutionarymetaheuristictechniquesabriefreview |