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Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm |
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| รหัสดีโอไอ | |
| Creator | 1. Surafel Luleseged Tilahun 2. Hong Choon Ong |
| Title | Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm |
| Publisher | Maejo University |
| Publication Year | 2555 |
| Journal Title | Maejo International Journal of Science and Technology |
| Journal Vol. | 6 |
| Journal No. | 2 |
| Page no. | 224 |
| Keyword | multi-objective optimization,multiple decision-makers,fuzzy preference,genetic algorithm |
| ISSN | 1905-7873 |
| Abstract | 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 hese 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 multiple decision-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 were collected 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. |
