Evolution based learning in a job shop scheduling environment-Reference-Cited by-同舟云学术

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Evolution based learning in a job shop scheduling environment

Published:1995-01 Issue:1 Volume:22 Page:25-40
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Dorndorf Ulrich,Pesch Erwin

Publisher

Elsevier BV

Subject

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

Reference66 articles.

1. Computational complexity of discrete optimization problems;Lenstra;Annals Discr. Math.,1979

2. Sequencing and scheduling: algorithm and complexity;Lawler,1989

3. Industrial Scheduling,1963

4. Theory of Scheduling;Conway,1967

5. Introduction to Sequencing and Scheduling;Baker,1974

Cited by 215 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatically evolving preference-based dispatching rules for multi-objective job shop scheduling;Journal of Scheduling;2023-04-29

2. An algorithm selection approach for the flexible job shop scheduling problem: Choosing constraint programming solvers through machine learning;European Journal of Operational Research;2022-11

3. Job shop scheduling with genetic algorithm-based hyperheuristic approach;International Advanced Researches and Engineering Journal;2022-04-15

4. A Tabu Search Algorithm for Job/Flow/Open Shop Scheduling Problems with Parallel Machines to Minimize Makespan;SSRN Electronic Journal;2022

5. Scheduling Jobs in a Two-Stage Hybrid Flow Shop with a Simulation-Based Genetic Algorithm and Standard Dispatching Rules;2020 Winter Simulation Conference (WSC);2020-12-14

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