A Proposal of Visualization of Multi-Objective Pareto Solutions -Development of Mining Technique for Solutions-

Author

Yoshikawa, Tomohiro ; Yamashiro, Daisuke ; Furuhashi, Takeshi

Author_Institution

Dept. of Computational Sci. & Eng., Nagoya Univ.

fYear

2007

fDate

1-5 April 2007

Firstpage

172

Lastpage

177

Abstract

The rapid progresses of computers introduce evolutionary computations to next step, which is the demand for the variety of Pareto solutions in multi-objective optimization problems. We can calculate a large amount of Pareto solutions in a short time. However, it is difficult to use the acquired Pareto solutions effectively, because the Pareto solutions have multi-dimension of fitness values. This study tries to develop "mining of solutions" technique with visualization. This paper proposes a visualizing method for Pareto solutions which have multi-objective fitness values. The proposed method enables us to grasp the distributed structure of Pareto solutions and clarify the relationship among multi-objective fitness values. This paper shows that the visualized data enables us to interpret the characteristics of Pareto solutions through experimental result

Keywords

Pareto optimisation; data mining; data visualisation; evolutionary computation; mathematics computing; data visualization; evolutionary computations; mining technique; multiobjective Pareto solution visualization; multiobjective fitness values; Computational intelligence; Data visualization; Decision making; Evolutionary computation; Genetics; Input variables; Multidimensional systems; Pareto analysis; Pareto optimization; Proposals;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on

Conference_Location

Honolulu, HI

Print_ISBN

1-4244-0702-8

Type

conf

DOI

10.1109/MCDM.2007.369433

Filename

4222999