Bi-objective reentrant hybrid flowshop scheduling: an iterated Pareto greedy algorithm

The multi-objective reentrant hybrid flowshop scheduling problem (RHFSP) exhibits significance in many industrial applications, but appears under-studied in the literature. In this study, an iterated Pareto greedy (IPG) algorithm is proposed to solve a RHFSP with the bi-objective of minimising makes...

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Veröffentlicht in:	International journal of production research 2014-01, Vol.52 (19), p.5735-5747
Hauptverfasser:	Ying, Kuo-Ching, Lin, Shih-Wei, Wan, Shu-Yen
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Benchmarking bi-objective Convergence Dominance Extreme values Greedy algorithms Heuristic Job shops meta-heuristic Optimization Pareto optimality Pareto optimum Production scheduling reentrant hybrid flowshop Scheduling Statistical analysis Studies
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