A Two-Level Function Evaluation Management Model for Multi-Population Methods in Dynamic Environments: Hierarchical Learning Automata Approach-Reference-Cited by-同舟云学术

A Two-Level Function Evaluation Management Model for Multi-Population Methods in Dynamic Environments: Hierarchical Learning Automata Approach

Published:2020-02-05 Issue:1 Volume:33 Page:1-26
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Kazemi Kordestani Javidan¹,Meybodi Mohammad Reza²,Rahmani Amir Masoud¹

Affiliation:

1. Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2. Soft Computing Laboratory, Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2020.1721568

Reference76 articles.

1. Cuckoo search with composite flight operator for numerical optimization problems and its application in tunnelling

2. Using regression to improve local convergence

3. Multiswarms, exclusion, and anti-convergence in dynamic environments

4. Particle Swarm Optimization in Dynamic Environments

5. Multi-swarm Optimization in Dynamic Environments

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