A new hybrid GA−ACO−PSO algorithm for solving various engineering design problems-Reference-Cited by-同舟云学术

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A new hybrid GA−ACO−PSO algorithm for solving various engineering design problems

Published:2018-04-24 Issue:5 Volume:96 Page:883-919
ISSN:0020-7160
Container-title:International Journal of Computer Mathematics
language:en
Short-container-title:International Journal of Computer Mathematics

Author:

Tam Jun Hui¹,Ong Zhi Chao¹^ORCID,Ismail Zubaidah²,Ang Bee Chin³,Khoo Shin Yee¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

2. Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

3. Department of Chemical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

Funder

Fundamental Research Grant Scheme

Postgraduate Research Fund

Universiti Malaya

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207160.2018.1463438

Reference53 articles.

1. Artificial bee colony algorithm for large-scale problems and engineering design optimization

2. An improved ant colony algorithm in continuous optimization

3. TREATING CONSTRAINTS AS OBJECTIVES FOR SINGLE-OBJECTIVE EVOLUTIONARY OPTIMIZATION

4. Use of a self-adaptive penalty approach for engineering optimization problems

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