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