Role and Impacts of Ant Colony Optimization in Job Shop Scheduling Problems-Reference-Cited by-同舟云学术

Role and Impacts of Ant Colony Optimization in Job Shop Scheduling Problems

Published:2020-04-17 Issue: Volume: Page:11-35
ISSN:
Container-title:Evolutionary Computation in Scheduling
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Author:

Deepalakshmi P.,Shankar K.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119574293.ch2

Reference44 articles.

1. A Bayesian Optimization-based Evolutionary Algorithm for Flexible Job Shop Scheduling

2. Pang H.andJiang X.(2017).A solution of Flexible Job Shop Scheduling Problem Based on Ant Colony Algorithm and Complex Network. In Computational Intelligence and Design (ISCID) 2017 10th International Symposium on (Vol. 2:463–466).IEEE.

3. Li L. Keqi W. andChunnan Z.(2010).An improved ant colony algorithm combined with particle swarm optimization algorithm for multi‐objective flexible job shop scheduling problem. In Machine Vision and Human‐Machine Interface (MVHI) 2010 International Conference on (pp.88–91).IEEE.

4. Industrial applications of the ant colony optimization algorithm

5. A hybrid multi-verse optimization for the fuzzy flexible job-shop scheduling problem

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