Uncertain Chance-Constrained Model for Energy Consumption in the Permutation Flow Shop

被引：3

作者：

Touil, A. ^{[1
]}

Echchatbi, A. ^{[1
]}

Charkaoui, A. ^{[1
]}

Mousrij, A. ^{[1
]}

机构：

[1] Hassan 1st Univ, Fac Sci & Technol, Lab Engn Ind Management & Innovat, POB 577, Settat, Morocco

来源：

IFAC PAPERSONLINE | 2019年 / 52卷 / 11期

关键词：

Permutation Flow Shop Problem (PFSP); Energy Consumption (EC); Uncertainty Theory (UT); Egale Strategy (ES); Sine-Cosine Algorithm (SCA); ALGORITHM; HEURISTICS;

D O I：

10.1016/j.ifacol.2019.09.133

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper addresses the consumption energy in the permutation flow shop within the framework of uncertainty theory. It proposes an uncertain chance-constrained programming model. Moreover, we employ some properties of uncertainty theory to build the corresponding deterministic equivalent model which is solved by a discrete eagle strategy combined with the sine-cosine algorithm (SCA). Additionally, numerical results are reported to demonstrate the applicability of the proposed model. We have also tested the proposed algorithm with the well known PFSP benchmarks to show the performance of the proposed algorithm. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：152 / 157

页数：6

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