A biased‐randomized iterated local search for the distributed assembly permutation flow‐shop problem-Reference-Cited by-同舟云学术

A biased‐randomized iterated local search for the distributed assembly permutation flow‐shop problem

Published:2019-09-06 Issue:3 Volume:27 Page:1368-1391
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Ferone Daniele¹^ORCID,Hatami Sara²,González‐Neira Eliana M.³^ORCID,Juan Angel A.²⁴,Festa Paola⁵

Affiliation:

1. Department of InformaticsSystems and Communication (DISCo)University of Milano‐BicoccaMilano Italy

2. IN3—Department of Computer ScienceOpen University of CataloniaBarcelona Spain

3. Departmento de Ingeniería IndustrialPontificia Universidad JaverianaBogotá Colombia

4. Euncet Business SchoolTerrassa Spain

5. Department of Mathematics and ApplicationsUniversity of Napoli FEDERICO IINapoli Italy

Funder

Spanish Ministry of Economy and Competitiveness, FEDER

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/itor.12719

Reference71 articles.

1. Evolutionary heuristics and an algorithm for the two-stage assembly scheduling problem to minimize makespan with setup times

2. The two-stage assembly scheduling problem to minimize total completion time with setup times

3. Minimizing the number of tardy jobs on a two-stage assembly flowshop

4. The two stage assembly flowshop scheduling problem to minimize total tardiness

5. Iterated local search and simulated annealing algorithms for the inventory routing problem

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