Gene expression programming based due date assignment in a simulated job shop-Reference-Cited by-同舟云学术

Gene expression programming based due date assignment in a simulated job shop

Published:2009-12 Issue:10 Volume:36 Page:12143-12150
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Baykasoğlu Adil,Göçken Mustafa

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference31 articles.

1. Two new rules to minimize tardiness in a job shop;Anderson;International Journal of Production Research,1990

2. Sequencing rules and due date assignments in a job shop;Baker;Management Science,1984

3. An investigation of due date assignment rules with constrained tightness;Baker;Journal of Operations Management,1981

4. Job shop scheduling with modified due dates;Baker;Journal of Operations Management,1983

5. Baykasoğlu, A., & Göçken, M. (2007). Simulation based due date assignment via gene expression programming. In M. J. Geiger, W. Habenicht (Eds.), Proceedings of EU/ME 2007. “metaheuristics in the service industry”, 8th workshop of the EURO working group “EU/ME, the European chapter on metaheuristics”, Stuttgart, Germany. (pp. 23–30).

Cited by 11 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. Realtime scheduling heuristics for just-in-time production in large-scale flexible job shops;Journal of Manufacturing Systems;2022-04

2. A rule for lead time estimation in general production shops;2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS);2019-05

3. Gene Expression Programming: A Survey [Review Article];IEEE Computational Intelligence Magazine;2017-08

4. A nonlinearly normalized back propagation network and cloud computing approach for determining cycle time allowance during wafer fabrication;Robotics and Computer-Integrated Manufacturing;2017-06

5. Genetic programming for production scheduling: a survey with a unified framework;Complex & Intelligent Systems;2017-02-24