DocumentCode :
3121149
Title :
Solution analysis of multi-objective programming problem
Author :
Guo-Li Zhang ; Hua Zuo
Author_Institution :
Inf. Process. & Control Inst., North China Electr. Power Univ., Baoding, China
Volume :
03
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
1039
Lastpage :
1044
Abstract :
Weighted ideal point method converts a multi-objective programming problem into a single objective programming problem. Solving corresponding single objective programming problem, some Pareto optimal solutions of the original multi-objective programming problem can be found. Specially, for convex multi-objective programming problems, we prove that there exist weights such that Pareto optimal solution is the optimal solution of the corresponding single objective programming problem. This means that all Pareto optimal solutions can be found. At last, an example is given to illustrate that all Pareto optimal solutions of convex multi-objective programming problems can be found by the weighted ideal point method.
Keywords :
Pareto optimisation; convex programming; Pareto optimal solutions; convex multiobjective programming problems; single objective programming problem; solution analysis; weighted ideal point method; Abstracts; Pareto optimization; Programming; Convex multi-objective; Multi-objective; Pareto optimal solution; Weighted ideal point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890749
Filename :
6890749
Link To Document :
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