Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design-Reference-Cited by-同舟云学术

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Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design

Published:2016-11-03 Issue:6 Volume:33 Page:570-588
ISSN:1744-5760
Container-title:International Journal of Parallel, Emergent and Distributed Systems
language:en
Short-container-title:International Journal of Parallel, Emergent and Distributed Systems

Author:

Kulkarni Omkar¹,Kulkarni Ninad¹,Kulkarni Anand J.²³,Kakandikar Ganesh¹

Affiliation:

1. Faculty of Engineering, Department of Mechanical Engineering, Zeal College of Engineering and Research , Pune, India

2. Odette School of Business, University of Windsor , Windsor, Canada

3. Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International University , Pune, India

Publisher

Informa UK Limited

Subject

Computer Networks and Communications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445760.2016.1242728

Reference26 articles.

1. Cuckoo Search via Lévy flights

2. Grey Wolf Optimizer

3. A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems

4. A comprehensive review of firefly algorithms

5. Ant colony system: a cooperative learning approach to the traveling salesman problem

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