DocumentCode
2005019
Title
A new local search method with the guarantee of local Pareto optimality
Author
Watanabe, Shigetaka ; Yokouchi, N.
Author_Institution
Coll. of Inf. & Syst., Muroran Inst. of Technol., Muroran, Japan
fYear
2012
fDate
20-24 Nov. 2012
Firstpage
1654
Lastpage
1659
Abstract
In this paper, a new local search method based on local Pareto optimality was proposed. The proposed method uses an original local Pareto optimal condition, which modifies Karush-Kuhn-Tucker (KKT) conditions, and applies directed local search to candidate solutions repetitively until solutions satisfy this condition. Also, this paper proposed a new interpolation mechanism for detecting local Pareto subsets exhaustively and capturing the entire shape of each Pareto subset. Through experiments with two typical EMO examples, KUR and MHHM2, the effectiveness of the proposed method was verified.
Keywords
Pareto optimisation; evolutionary computation; search problems; EMO; KKT conditions; KUR; Karush-Kuhn-Tucker conditions; MHHM2; directed local search; evolutionary multicriterion optimization; interpolation mechanism; local Pareto optimal condition; local Pareto optimality; local Pareto subset detection; local search method;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location
Kobe
Print_ISBN
978-1-4673-2742-8
Type
conf
DOI
10.1109/SCIS-ISIS.2012.6505192
Filename
6505192
Link To Document