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A random-keys genetic algorithm for scheduling unrelated parallel batch processing machines with different capacities and arbitrary job sizes

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成果类型:
期刊论文
作者:
Zhou, Shengchao;Xie, Jianhui*;Du, Ni;Pang, Yan
通讯作者:
Xie, Jianhui
作者机构:
[Pang, Yan; Zhou, Shengchao] Cent South Univ Forestry & Technol, Sch Logist, Changsha 410004, Hunan, Peoples R China.
[Xie, Jianhui] Sun Yat Sen Univ, Lingnan Coll, Guangzhou 510275, Guangdong, Peoples R China.
[Du, Ni] Hunan Agr Univ, Sch Engn, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Xie, Jianhui] S
Sun Yat Sen Univ, Lingnan Coll, Guangzhou 510275, Guangdong, Peoples R China.
语种:
英文
关键词:
Scheduling;Unrelated parallel machines;Batch processing machines;Random-keys genetic algorithm
期刊:
Applied Mathematics and Computation
ISSN:
0096-3003
年:
2018
卷:
334
页码:
254-268
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71701220]; Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [2018JJ3891]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [17wkpy45]
机构署名:
本校为第一机构
院系归属:
交通运输与物流学院
摘要:
A batch processing machine (BPM) can simultaneously process several jobs and has wide applications in various industrial environments. This paper studies the problem of minimizing makespan on unrelated parallel BPMs with non-identical job sizes and arbitrary release times. In the environment of unrelated machines, each machine has a processing speed for each job. The unrelated BPM problem is the most general case of parallel BPM problems and is closer to actual production conditions. The problem under study is NP-hard. We present two lower bounds for the problem. Then a genetic algorithm based...

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