Integrated scheduling of production and transportation operations using a novel memetic algorithm

被引：1
|
作者：
Yang, Jing [1 ]
He, Zhengxiang [1 ]
Guo, Zhaoxia [1 ]
Liang, Xuedong [1 ]
机构：
[1] Sichuan Univ, Sch Business, Chengdu 610065, Peoples R China
来源：
PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2015) | 2015年
关键词：
Integrated scheduling; Supply chain scheduling; Memetic algorithms;
D O I：
10.1109/ICICTA.2015.128
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper addresses an integrated scheduling problem of production and transportation operations in an MTO supply chain with realistic features such as unrelated parallel machines and product batch-based transportation. A harmony search-based memetic optimization model is proposed to solve this problem, in which some heuristic procedures are developed to convert the investigated problem into an order assignment problem. The effectiveness of the proposed model is validated by numerical experiments and comparisons with genetic algorithm-based and traditional memetic optimization models.
引用
收藏
页码：494 / 497
页数：4
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