A hybrid discrete optimization algorithm based on teaching–probabilistic learning mechanism for no-wait flow shop scheduling

Inspired by the phenomenon of teaching and learning introduced by the teaching-learning based optimization (TLBO) algorithm, this paper presents a hybrid discrete optimization algorithm based on teaching-probabilistic learning mechanism (HDTPL) to solve the no-wait flow shop scheduling (NWFSSP) with...

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Vydáno v:	Knowledge-based systems Ročník 107; s. 219 - 234
Hlavní autoři:	Shao, Weishi, Pi, Dechang, Shao, Zhongshi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.09.2016
Témata:	Algorithms Discrete probabilistic learning Discrete teaching Learning Minimization of makespan Neighborhood search No-wait flow shop scheduling Optimization Population reconstruction Probabilistic methods Probability theory Scheduling Searching Teaching Discrete probabilistic learning No-wait flow shop scheduling Minimization of makespan Neighborhood search Discrete teaching Population reconstruction
ISSN:	0950-7051, 1872-7409
On-line přístup:	Získat plný text
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