%0 Journal Article
%T Fuzzy preference of multiple decision-makers in solving multiobjective optimisation problems using genetic algorithm
%A Surafel Luleseged Tilahun
%J Maejo International Journal of Science and Technology
%D 2012
%I Maejo University
%X 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.
%K multi-objective optimisation
%K multiple decision-makers
%K fuzzy preference
%K genetic algorithm
%U http://www.mijst.mju.ac.th/vol6/224-237.pdf