Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm
Most real-life optimisation problems involve multiple objective functions.Finding a solution that satisfies the decision-maker is very difficult owing to conflict between the objectives. Furthermore, the solution depends on the decision-maker’s preference. Metaheuristic solution methods have become...
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| Format: | Article |
| Language: | English |
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Maejo University
2012-06-01
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| Series: | Maejo International Journal of Science and Technology |
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| Online Access: | http://www.mijst.mju.ac.th/vol6/224-237.pdf |
| _version_ | 1819095727101444096 |
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| author | Surafel Luleseged Tilahun |
| author_facet | Surafel Luleseged Tilahun |
| author_sort | Surafel Luleseged Tilahun |
| collection | DOAJ |
| description | Most real-life optimisation problems involve multiple objective functions.Finding a solution that satisfies the decision-maker is very difficult owing to conflict between the objectives. Furthermore, the solution depends on the decision-maker’s preference. Metaheuristic solution methods have become common tools to solve these problems. The task of obtaining solutions that take account of a decision-maker’s preference is at the forefront of current research. It is also possible to have multipledecision-makers with different preferences and with different decision-making powers. It may not be easy to express a preference using crisp numbers. In this study, the preferences of multiple decision-makers were simulated and a solution based on a genetic algorithm was developed to solve multi-objective optimisation problems. The preferences werecollected as fuzzy conditional trade-offs and they were updated while running the algorithm interactively with the decision-makers. The proposed method was tested using well-known benchmark problems. The solutions were found to converge around the Pareto front of the problems. |
| first_indexed | 2024-12-21T23:47:54Z |
| format | Article |
| id | doaj.art-84d0a5cea2b84caa82afdd61c5a0abbb |
| institution | Directory Open Access Journal |
| issn | 1905-7873 |
| language | English |
| last_indexed | 2024-12-21T23:47:54Z |
| publishDate | 2012-06-01 |
| publisher | Maejo University |
| record_format | Article |
| series | Maejo International Journal of Science and Technology |
| spelling | doaj.art-84d0a5cea2b84caa82afdd61c5a0abbb2022-12-21T18:46:02ZengMaejo UniversityMaejo International Journal of Science and Technology1905-78732012-06-01602224237Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithmSurafel Luleseged TilahunMost real-life optimisation problems involve multiple objective functions.Finding a solution that satisfies the decision-maker is very difficult owing to conflict between the objectives. Furthermore, the solution depends on the decision-maker’s preference. Metaheuristic solution methods have become common tools to solve these problems. The task of obtaining solutions that take account of a decision-maker’s preference is at the forefront of current research. It is also possible to have multipledecision-makers with different preferences and with different decision-making powers. It may not be easy to express a preference using crisp numbers. In this study, the preferences of multiple decision-makers were simulated and a solution based on a genetic algorithm was developed to solve multi-objective optimisation problems. The preferences werecollected as fuzzy conditional trade-offs and they were updated while running the algorithm interactively with the decision-makers. The proposed method was tested using well-known benchmark problems. The solutions were found to converge around the Pareto front of the problems.http://www.mijst.mju.ac.th/vol6/224-237.pdfmulti-objective optimisationmultiple decision-makersfuzzy preferencegenetic algorithm |
| spellingShingle | Surafel Luleseged Tilahun Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm Maejo International Journal of Science and Technology multi-objective optimisation multiple decision-makers fuzzy preference genetic algorithm |
| title | Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm |
| title_full | Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm |
| title_fullStr | Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm |
| title_full_unstemmed | Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm |
| title_short | Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm |
| title_sort | fuzzy preference of multiple decision makers in solving multiobjective optimisation problems using genetic algorithm |
| topic | multi-objective optimisation multiple decision-makers fuzzy preference genetic algorithm |
| url | http://www.mijst.mju.ac.th/vol6/224-237.pdf |
| work_keys_str_mv | AT surafellulesegedtilahun fuzzypreferenceofmultipledecisionmakersinsolvingmultiobjectiveoptimisationproblemsusinggeneticalgorithm |