A Robust-Solution-Based Methodology to Solve Multiple-Objective Problems with Uncertainty

被引：0

作者：

Salazar, Daniel ^{[1
]}

Gandibleux, Xavier ^{[1
]}

Jorge, Julien ^{[1
]}

Sevaux, Marc ^{[1
]}

机构：

[1] Univ Las Palmas Gran Canaria, IUSIANI, Edif Polivalente Campus Tafira, Las Palmas Gran Canaria 35017, Spain

来源：

MULTIOBJECTIVE PROGRAMMING AND GOAL PROGRAMMING: THEORETICAL RESULTS AND PRACTICAL APPLICATIONS | 2009年 / 618卷

关键词：

Flowshop scheduling problem; Genetic algorithm; Multiobjective evolutionary algorithm; Multiobjective simulated annealing; Robustness; Robust schedule; Release when completing blocking; EVOLUTIONARY; OPTIMIZATION; DESIGNS;

D O I：

暂无

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

This paper presents the formulation and evaluation of a methodology to solve multiple-objective problems in the presence of uncertainty based on robustness. The methods were developed regarding a particular real "Released when Completing blocking (RCb)" scheduling flowshop problem characterized by several equivalent solutions, but they can be extended to another robustness problems.

引用

页码：197 / +

页数：3

共 14 条

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