Feature Selection for Metaheuristics Optimization Technique with Chaos-Reference-Cited by-同舟云学术

Feature Selection for Metaheuristics Optimization Technique with Chaos

Published:2022-05-12 Issue: Volume: Page:
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Container-title:2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)
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Author:

Ajibade Samuel-Soma M.¹,Chaudhury Sushovan²,Oyebode Oluwadare Joshua³,Ngo Hoang Dai-Long⁴,Rabbi Fazle⁵,Ajibade Samuel-Soma M.⁶

Affiliation:

1. Department of Computer Engineering, Istanbul Ticaret Universitesi, Istanbul,Turkey

2. University of Engineering and Management,Department of CSE,India

3. Afe Babalola University,Department of Civil and Environmental Engineering,Ado Ekiti,Ekiti State,Nigeria

4. Vietnam National University Ho Chi Minh City – Campus in Ben Tre, Ben Tre Province, Vietnam

5. Australian Computer Society,Victoria,Australia

6. Universiti Teknologi Malaysia,Department of Computer Science,Johor Bahru,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9781838/9781823/09781989.pdf?arnumber=9781989

Reference24 articles.

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2. A Hybrid Chaotic Particle Swarm Optimization with Differential Evolution for feature selection

3. A modified particle swarm optimizer. In 1998 IEEE international conference on evolutionary computation proceedings;shi;IEEE World Congress on Computational Intelligence (Cat No 98TH8360),1998

4. A Survey on Evolutionary Computation Approaches to Feature Selection

5. Pierre Collet;rennard;Handbook of Research on Nature-Inspired Computing for Economics and Management,2006

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