A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm
Numerous problems encountered in real life cannot be actually formulated as a single objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen several years ago. Due to the complexities in such type of problems powerful heuristic techniques were needed, which has been...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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University of Isfahan
2013-03-01
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| Series: | Transactions on Combinatorics |
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| Online Access: | http://www.combinatorics.ir/?_action=showPDF&article=2834&_ob=2534709aaead83732828c7103a34a4a6&fileName=full_text.pdf. |
| _version_ | 1818684993237417984 |
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| author | Soniya Lalwani Sorabh Singhal Rajesh Kumar Nilama Gupta |
| author_facet | Soniya Lalwani Sorabh Singhal Rajesh Kumar Nilama Gupta |
| author_sort | Soniya Lalwani |
| collection | DOAJ |
| description | Numerous problems encountered in real life cannot be actually formulated as a single objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen several years ago. Due to the complexities in such type of problems powerful heuristic techniques were needed, which has been strongly satisfied by Swarm Intelligence (SI) techniques. Particle Swarm Optimization (PSO) has been established in 1995 and became a very mature and most popular domain in SI. Multi-Objective PSO (MOPSO) established in 1999, has become an emerging field for solving MOOs with a large number of extensive literature, software, variants, codes and applications. This paper reviews all the applications of MOPSO in miscellaneous areas followed by the study on MOPSO variants in our next publication. An introduction to the key concepts in MOO is followed by the main body of review containing survey of existing work, organized by application area along with their multiple objectives, variants and further categorized variants. |
| first_indexed | 2024-12-17T10:59:27Z |
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| id | doaj.art-d067a695f2874248a87829b843ff1df7 |
| institution | Directory Open Access Journal |
| issn | 2251-8657 2251-8665 |
| language | English |
| last_indexed | 2024-12-17T10:59:27Z |
| publishDate | 2013-03-01 |
| publisher | University of Isfahan |
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| series | Transactions on Combinatorics |
| spelling | doaj.art-d067a695f2874248a87829b843ff1df72022-12-21T21:51:45ZengUniversity of IsfahanTransactions on Combinatorics2251-86572251-86652013-03-012139101A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithmSoniya LalwaniSorabh SinghalRajesh KumarNilama GuptaNumerous problems encountered in real life cannot be actually formulated as a single objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen several years ago. Due to the complexities in such type of problems powerful heuristic techniques were needed, which has been strongly satisfied by Swarm Intelligence (SI) techniques. Particle Swarm Optimization (PSO) has been established in 1995 and became a very mature and most popular domain in SI. Multi-Objective PSO (MOPSO) established in 1999, has become an emerging field for solving MOOs with a large number of extensive literature, software, variants, codes and applications. This paper reviews all the applications of MOPSO in miscellaneous areas followed by the study on MOPSO variants in our next publication. An introduction to the key concepts in MOO is followed by the main body of review containing survey of existing work, organized by application area along with their multiple objectives, variants and further categorized variants.http://www.combinatorics.ir/?_action=showPDF&article=2834&_ob=2534709aaead83732828c7103a34a4a6&fileName=full_text.pdf.Multi-Objective Particle Swarm OptimizationConflicting objectivesParticle Swarm OptimizationPareto optimal setNon-dominated solutions |
| spellingShingle | Soniya Lalwani Sorabh Singhal Rajesh Kumar Nilama Gupta A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm Transactions on Combinatorics Multi-Objective Particle Swarm Optimization Conflicting objectives Particle Swarm Optimization Pareto optimal set Non-dominated solutions |
| title | A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm |
| title_full | A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm |
| title_fullStr | A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm |
| title_full_unstemmed | A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm |
| title_short | A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm |
| title_sort | comprehensive survey applications of multi objective particle swarm optimization mopso algorithm |
| topic | Multi-Objective Particle Swarm Optimization Conflicting objectives Particle Swarm Optimization Pareto optimal set Non-dominated solutions |
| url | http://www.combinatorics.ir/?_action=showPDF&article=2834&_ob=2534709aaead83732828c7103a34a4a6&fileName=full_text.pdf. |
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