General Further Discarding Tests in Geometric Branch-and-Bound Methods for Non-Convex Multicriteria Optimization Problems

被引:0
作者
Scholz, Daniel [1 ]
机构
[1] Georg August Univ Gottingen, Inst Numer & Angew Math, Gottingen, Germany
关键词
multicriteria optimization; approximation algorithms; global optimization; facility location problems; continuous location;
D O I
10.1002/mcda.474
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Using a geometric branch-and-bound technique, my goal in this paper is to compute a sharp outer approximation of all Pareto-optimal solutions in multicriteria optimization problems. To this end, I propose some general further discarding tests that are based on the Fritz John necessary conditions for Pareto optimality. The branch-and-bound solution method as well as the general further discarding tests leads to a very useful tool especially for multicriteria facility location problems. Therefore, my suggested approach is demonstrated on some multicriteria facility location problems with excellent numerical results. Copyright (C) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码:65 / 75
页数:11
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