Title :
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.
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;
Conference_Titel :
Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0702-8
DOI :
10.1109/MCDM.2007.369433
