Title :
Multiobjective Optimization with Even Pareto Filter
Author :
Sleesongsom, Suwin
Author_Institution :
Intell. Res. Center of Mech. Eng. Design, Chiangrai
Abstract :
Engineering problems are dealing with conflict objectives. The problem is multi-objective optimization. The solutions of this problem are solution set. The methods use to solve this problem base on genetic algorithm, GA. The methods generate the solutions first and choose later. After studying multiobjective GA method, it is obvious that this method did not give even Pareto solution set, so the designer hardly decides to choose it. The purposes of the research are to improve distribution of the solution set with using even Pareto filter and to propose the method that be measures distribution of Pareto solution set, with using distribution evenness factor. The results of this research bring to be better even Pareto solution set and the method uses to measure distribution evenness factor that is one way to present distribution of Pareto solution set.
Keywords :
Pareto distribution; Pareto optimisation; genetic algorithms; set theory; even Pareto filter; even Pareto solution set distribution; multiobjective genetic algorithm method; multiobjective optimization; Constraint optimization; Design engineering; Design optimization; Educational institutions; Equations; Filters; Genetic algorithms; Mechanical engineering; Pareto analysis; Pareto optimization; Genetic algorithm; Multiobjective Optimization; distribution evenness factor; even Pareto Filter; even Pareto solution;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.766