An improved Jaya algorithm for solving the flexible job shop scheduling problem with transportation and setup times-Reference-Cited by-同舟云学术

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An improved Jaya algorithm for solving the flexible job shop scheduling problem with transportation and setup times

Published:2020-07 Issue: Volume:200 Page:106032
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Jun-qing,Deng Jia-wen,Li Cheng-you,Han Yu-yan,Tian Jie,Zhang Biao,Wang Cun-gang

Funder

National Science Foundation of China

Shandong Province Higher Educational Science and Technology Program, China

Program of Shandong Province Natural Science Foundation, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference51 articles.

1. Routing and scheduling in a flexible job shop by tabu search;Brandimarte;Ann. Oper. Res.,1993

2. Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems;Kacem;IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.),2002

3. Generating robust and flexible job shop schedules using genetic algorithms;Jensen;IEEE Trans. Evol. Comput.,2003

4. An effective architecture for learning and evolving flexible job-shop schedules;Ho;European J. Oper. Res.,2007

5. A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems;Gao;Comput. Oper. Res.,2008

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