A proposal of visualization of multi-objective pareto solutions -Development of mining technique for solutions

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, MCDM 2007

Volumn , Issue , 2007, Pages 172-177

  Yoshikawa, Tomohiro ^a   Yamashiro, Daisuke ^a   Furuhashi, Takeshi ^a  

^a NAGOYA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATA VISUALIZATION; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE; PROBLEM SOLVING;

DISTRIBUTED STRUCTURE; FITNESS VALUES; VISUALIZING METHODS;

EVOLUTIONARY ALGORITHMS;

EID: 34548803085     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MCDM.2007.369433     Document Type: Conference Paper

References (12)

1. Andersson, J, "Application of a multi objective genetic algorithm to engineering design problems," in Proc. of the 2nd Int'l Conference in Evolutionary Multi-Criteria Optimizaton, 2003, pp. 8-11.
2. T. Murata, H. Nozawa, Y. Tsujimura, M. Gen, and H. Ishibuchi, "Effect of local search on the performance of cellular multi-objective genetic algorithms for designing fuzzy rule-based classification systems," in Proc. of the 2002 Congress on Evolutionary Computation, 2002, pp. 663-668.
3. H. Ishibuchi and T. Murata, "A multi-objective genetic local search algorithm and its application to flowshop scheduling," in IEEE Trans. on Systems, Man, and Cybernetics - Part C: Applications and Reviews, Vol. 28, No. 3, 1998, pp. 392-403.
4. T. Inoue, T. Furuhashi, H. Maeda, and M. Takaba, "A proposal of combined method of evolutionary algorithm and heuristics for nurse scheduling support system," IEEE Trans. on Industrial Electronics, vol. 50, no. 50, pp. 833-838, Oct. 2003.
5. N. E. Nawa and T. Furuhashi, "Fuzzy system parameters discovery by bacterial evolutionary algorithm," IEEE Trans. on Fuzzy Systems, vol. 7, no. 5, pp. 608-616, Oct. 1999.
6. K. Deb, Multi-Objective Optimization using Evolutionary Algorithms. John Wiley and Sons, LTD, 2001.
7. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multi-objective genetic algorithm: NSGA-II," IEEE Trans. on Evolutionary Computation, vol. 6, no. 2, pp. 182-197, Apr. 2002.
8. N. Ueno and T. Furuhashi, "A nurse scheduling support system with nurse-in-chief's know-how," in 2004 14th Intelligent System Symposium, Japan, 2004, pp. 174-177.
9. S. Obayashi, "Multiobjective optimization and data mining by information visualization," Toyota research paper, no. 58, pp. 109-116, 2005.
10. D. Yamashiro, T. Yoshikawa, and T. Furuhashi, "Visualization of search process and improvement of search performance in multi-objective genetic algorithm," in applied 2006 IEEE World Congress on Computational Intelligence, 2003, pp. 111 174-111 177.
11. T. Suenaga, A. Sato, and H. Sakano, "Cluster discriminant analysis for feature space visualization," Trans. on The Institute of Electronics, Information and Communication Engineers, no. 5, pp. 785-795, 2002.
12. K. Yamamoto, T. Yoshikawa, and T. Furuhashi, "A proposal of visualization method for interpretable fuzzy model on fusion axes," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 10, no. 1, pp. 121-131, 2006.