An Efficient Multitasking Ant Colony Optimization Framework-Reference-Cited by-同舟云学术

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An Efficient Multitasking Ant Colony Optimization Framework

Published:2023-07-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Yu Zhenjian¹,Liu Wei-Li¹,Zhong Jinghui²,Huang Ting³,Lu Xu¹,Lin Zhiyong¹

Affiliation:

1. School of Computer Science Guangdong Polytechnic Normal University,Guangzhou,China

2. School of Computer Science and Engineering South China University of Technology,Guangzhou,China

3. Guangzhou Institute of Technology Xidian University,Guangzhou,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10253662/10253666/10254137.pdf?arnumber=10254137

Reference33 articles.

1. Evolutionary multitasking in permutation-based combinatorial optimization problems: Realization with TSP, QAP, LOP, and JSP

2. Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem

3. Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking

4. Multiobjective Multifactorial Optimization in Evolutionary Multitasking

5. A Novel Multitasking Ant Colony Optimization Method for Detecting Multiorder SNP Interactions;s;Interdisciplinary Sciences Computational Life Sciences,2022

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