Tuning the Interval Algorithm for Seeking Pareto Sets of Multi-criteria Problems

被引：0

作者：

Kubica, Bartlomiej Jacek ^{[1
]}

Wozniak, Adam ^{[1
]}

机构：

[1] Warsaw Univ Technol, Inst Control & Computat Engn, PL-00661 Warsaw, Poland

来源：

APPLIED PARALLEL AND SCIENTIFIC COMPUTING (PARA 2012) | 2013年 / 7782卷

关键词：

Pareto-set; multi-criteria analysis; interval computations; bisection; Newton operator; tuning; SELECTION; FRONT;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The paper presents the authors' effort to optimize a previously developed interval method for solving multi-criteria problems [17]. The idea is to apply heuristics presented, e. g., in [27], [22], [26] and some new ones, to the Pareto set seeking method. Numerical experiments are presented and parallelization of the algorithm is considered. Based on the tuned algorithm, we propose a new approach to interactive multiple criteria decision making.

引用

页码：504 / 517

页数：14

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