A discrete differential evolution algorithm for the total earliness and tardiness penalties with a common due date on a single-machine
被引:19
作者:
Tasgetiren, M. Fatih
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机构:
Sultan Qaboos Univ, Dept Operat Management & Business Stat, POB 20,Al Khod 123, Muscat, OmanSultan Qaboos Univ, Dept Operat Management & Business Stat, POB 20,Al Khod 123, Muscat, Oman
Tasgetiren, M. Fatih
[1
]
Pan, Quan-Ke
论文数: 0引用数: 0
h-index: 0
机构:
Liaocheng Univ, Coll Comp Sci, Liaocheng, Shandong, Peoples R ChinaSultan Qaboos Univ, Dept Operat Management & Business Stat, POB 20,Al Khod 123, Muscat, Oman
Pan, Quan-Ke
[2
]
Liang, Yun-Chia
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h-index: 0
机构:
Yuan Ze Univ, Dept Ind Engn & Management, Taoyuan, TaiwanSultan Qaboos Univ, Dept Operat Management & Business Stat, POB 20,Al Khod 123, Muscat, Oman
Liang, Yun-Chia
[3
]
Suganthan, P. N.
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机构:
Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, SingaporeSultan Qaboos Univ, Dept Operat Management & Business Stat, POB 20,Al Khod 123, Muscat, Oman
Suganthan, P. N.
[4
]
机构:
[1] Sultan Qaboos Univ, Dept Operat Management & Business Stat, POB 20,Al Khod 123, Muscat, Oman
[2] Liaocheng Univ, Coll Comp Sci, Liaocheng, Shandong, Peoples R China
[3] Yuan Ze Univ, Dept Ind Engn & Management, Taoyuan, Taiwan
2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN SCHEDULING
|
2007年
关键词:
D O I:
10.1109/SCIS.2007.367701
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
In this paper, a discrete differential evolution (DDE) algorithm is presented to solve the single machine total earliness and tardiness penalties with a common due date. A new binary swap mutation operator called Bswap is presented. In addition, the DDE algorithm is hybridized with a local search algorithm to further improve the performance of the DDE algorithm. The performance of the proposed DDE algorithm is tested on 280 benchmark instances ranging from 10 to 1000 jobs from the OR Library. The computational experiments showed that the proposed DDE algorithm has generated better results than those in the literature in terms of both solution quality and computational time.