Fuzzy scheduling optimization system for multi-objective transportation path based on ant colony algorithm-Reference-Cited by-同舟云学术

Fuzzy scheduling optimization system for multi-objective transportation path based on ant colony algorithm

Published:2018-10-27 Issue:4 Volume:35 Page:4257-4266
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Wu Gengrui¹²,Bo Niao³,Wu Husheng¹,Yang Yong²,Hassan Nasruddin⁴

Affiliation:

1. Material Management and Support College, Armed Police Force Engineering University, Xi’an, China

2. Department of Information and Communication, Police officer college of Armed Police Force, Chengdu, China

3. Basic Department, Police officer college of Armed Police Force, Chengdu, China

4. School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference19 articles.

1. Ant colony optimization for simulated dynamic multi-objective railway junction rescheduling;Eaton;IEEE Transactions on Intelligent Transportation Systems,2017

2. An ant colony optimization-based fuzzy predictive control approach for nonlinear processes;Bououden;Information Sciences,2015

3. Antarna-ant colony based rna sequence design;Robert;Bioinformatics,2015

4. An adaptive convergence-trajectory controlled ant colony optimization algorithm with application to water distribution system design problems;Zheng;IEEE Transactions on Evolutionary Computation,2017

5. An interactive approach for the multi-objective transportation problem with interval parameters;Hu;International Journal of Production Research,2015

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