Iterated greedy algorithms enhanced by hyper-heuristic based learning for hybrid flexible flowshop scheduling problem with sequence dependent setup times: A case study at a manufacturing plant-Reference-Cited by-同舟云学术

Iterated greedy algorithms enhanced by hyper-heuristic based learning for hybrid flexible flowshop scheduling problem with sequence dependent setup times: A case study at a manufacturing plant

Published:2021-01 Issue: Volume:125 Page:105044
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Burcin Ozsoydan Fehmi,Sağir Müjgan

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modelling and Simulation,General Computer Science

Reference49 articles.

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5. Evolutionary and population-based methods versus constructive search strategies in dynamic combinatorial optimization;Baykasoğlu;Inf. Sci.,2017

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