multiobjectiveoptimizationofthedistributedpermutationflowshopschedulingproblemwithtransportationandeligibilityconstraints

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	multiobjectiveoptimizationofthedistributedpermutationflowshopschedulingproblemwithtransportationandeligibilityconstraints
	Cai Shuang; Yang Ke; Liu Ke
	2018
发表期刊	journaloftheoperationsresearchsocietyofchina
ISSN	2194-668X
卷号	6 期号:3 页码:391
摘要	In this paper, we consider the distributed permutation flow shop scheduling problem (DPFSSP) with transportation and eligibility constrains. Three objectives are taken into account, i.e., makespan, maximum lateness and total costs (transportation costs and setup costs). To the best of our knowledge, there is no published work on multi-objective optimization of the DPFSSP with transportation and eligibility constraints. First, we present themathematics model and constructive heuristics for single objective; then, we propose an improved The Nondominated Sorting Genetic Algorithm II (NSGA-II) for the multi-objective DPFSSP to find Pareto optimal solutions, in which a novel solution representation, a new population re-/initialization, effective crossover and mutation operators, as well as local search methods are developed. Based on extensive computational and statistical experiments, the proposed algorithm performs better than the well-known NSGA-II and the Strength Pareto Evolutionary Algorithm 2 (SPEA2).
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/43037
专题	应用数学研究所
作者单位	中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Cai Shuang,Yang Ke,Liu Ke. multiobjectiveoptimizationofthedistributedpermutationflowshopschedulingproblemwithtransportationandeligibilityconstraints[J]. journaloftheoperationsresearchsocietyofchina,2018,6(3):391.
APA	Cai Shuang,Yang Ke,&Liu Ke.(2018).multiobjectiveoptimizationofthedistributedpermutationflowshopschedulingproblemwithtransportationandeligibilityconstraints.journaloftheoperationsresearchsocietyofchina,6(3),391.
MLA	Cai Shuang,et al."multiobjectiveoptimizationofthedistributedpermutationflowshopschedulingproblemwithtransportationandeligibilityconstraints".journaloftheoperationsresearchsocietyofchina 6.3(2018):391.