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A New Pareto Optimal Solution in a Lagrange Decomposable Multi-Objective Optimization Problem

 

作者: KopsidasG. C.,  

 

期刊: Journal of the Operational Research Society  (Taylor Available online 1991)
卷期: Volume 42, issue 5  

页码: 401-411

 

ISSN:0160-5682

 

年代: 1991

 

DOI:10.1057/jors.1991.82

 

出版商: Taylor&Francis

 

关键词: multi-objective optimization;non-linear programming;resource allocation

 

数据来源: Taylor

 

摘要:

AbstractIn this paper a committee decision-making process of a convex Lagrange decomposable multi-objective optimization problem, which has been decomposed into various subproblems, is studied. Each member of the committee controls only one subproblem and attempts to select the optimal solution of this subproblem most desirable to him, under the assumption that all the constraints of the total problem are satisfied. This procedure leads to a new solution concept of a Lagrange decomposable multi-objective optimization problem, called a preferred equilibrium set. A preferred equilibrium point of a problem, for a committee, may or may not be a Pareto optimal point of this problem. In some cases, a non-Pareto optimal preferred equilibrium point of a problem, for a committee, can be considered as a special type of Pareto optimal point of this problem. This fact leads to a generalization of the Pareto optimality concept in a problem.

 

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