A discrete oppositional multi-verse optimization algorithm for multi-skill resource constrained project scheduling problem-Reference-Cited by-同舟云学术

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A discrete oppositional multi-verse optimization algorithm for multi-skill resource constrained project scheduling problem

Published:2019-12 Issue: Volume:85 Page:105805
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhu Lei^ORCID,Lin Jian^ORCID,Wang Zhou-Jing^ORCID

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Zhejiang Key Laboratory of Solid State Drive and Data Security, PR China

Publisher

Elsevier BV

Subject

Software

Reference52 articles.

1. Scheduling subject to resource constraints: classification and complexity;Blazewicz;Discrete Appl. Math.,1983

2. A branch-and-bound procedure for the multiple resource-constrained project scheduling problem;Demeulemeester;Manage. Sci.,1992

3. A branch-and-cut procedure for the multimode resource-constrained project-scheduling problem;Zhu;INFORMS J. Comput.,2006

4. An effective hybrid biogeography-based optimization algorithm for the distributed assembly permutation flow-shop scheduling problem;Lin;Comput. Ind. Eng.,2016

5. A swap sequence based artificial bee colony algorithm for traveling salesman problem;Khan;Swarm Evol. Comput.,2019

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