A bi-population EDA for solving the no-idle permutation flow-shop scheduling problem with the total tardiness criterion-Reference-Cited by-同舟云学术

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A bi-population EDA for solving the no-idle permutation flow-shop scheduling problem with the total tardiness criterion

Published:2015-01 Issue: Volume:74 Page:167-175
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Shen Jing-nan,Wang Ling,Wang Sheng-yao

Funder

National Key Basic Research and Development Program of China

National Science Foundation of China

Doctoral Program Foundation of Institutions of Higher Education of China

Publisher

Elsevier BV

Subject

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

Reference32 articles.

1. Optimal two-and three-stage production schedules with setup times included;Johnson;Naval Res. Logist. Quart.,1954

2. A review and classification of heuristics for permutation flow-shop scheduling with makespan objective;Framinan;J. Oper. Res. Soc.,2004

3. A comprehensive review and evaluation of permutation flowshop heuristics;Ruiz;Eur. J. Oper. Res.,2005

4. Flowshop-scheduling problems with makespan criterion: a review;Hejazi;Int. J. Prod. Res.,2005

5. Multi-objective permutation flow shop scheduling problem: literature review, classification and current trends;Yenisey;Omega,2013

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1. An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-05

2. INTEGRATED ARTIFICIAL IMMUNE SYSTEM AND TAGUCHI APPROACH FOR PRODUCTION SCHEDULING IN THE GARMENT INDUSTRY;INT J IND ENG-THEORY;2024

3. A Systematic Literature Review on No-Idle Flow Shop Scheduling Problem;Operations Research Forum;2024-02-27

4. A two-stage iterated greedy algorithm and a multi-objective constructive heuristic for the mixed no-idle flowshop scheduling problem to minimize makespan subject to total completion time;Journal of Project Management;2024

5. Multi-Objective Hybrid Flow-Shop Scheduling in Parallel Sequential Mode While Considering Handling Time and Setup Time;Applied Sciences;2023-03-10

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