共 23 条
Iterated local search based on multi-type perturbation for single-machine earliness/tardiness scheduling
被引:9
作者:
Qin, Tao
[1
]
Peng, Bo
[1
]
Benlic, Una
[2
]
Cheng, T. C. E.
[3
]
Wang, Yang
[1
]
Lu, Zhipeng
[1
,3
]
机构:
[1] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, SMART, Wuhan 430074, Peoples R China
[2] Univ Stirling, Comp Sci & Math Sch Nat Sci, Stirling FK9 4LA, Scotland
[3] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
基金:
英国工程与自然科学研究理事会;
中国国家自然科学基金;
关键词:
Single machine;
Iterated local search;
Multi-type perturbation;
Tabu search;
QUADRATIC FUNCTION;
JOB LATENESS;
LINEAR EARLINESS;
HEURISTICS;
TARDINESS;
D O I:
10.1016/j.cor.2015.03.005
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
We propose an iterated local search based on a multi-type perturbation (ILS-MP) approach for single-machine scheduling to minimize the sum of linear earliness and quadratic tardiness penalties. The multi-type perturbation mechanism in ILS-MP probabilistically combines three types of perturbation strategies, namely tabu-based perturbation, construction-based perturbation, and random perturbation. Despite its simplicity, experimental results on a wide set of commonly used benchmark instances show that ILS-MP performs favourably in comparison with the current best approaches in the literature. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:81 / 88
页数:8
相关论文