A rotationally invariant stochastic opposition-based learning using a beta distribution in differential evolution-Reference-Cited by-同舟云学术

A rotationally invariant stochastic opposition-based learning using a beta distribution in differential evolution

Published:2023-11 Issue: Volume:231 Page:120658
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Choi Tae Jong^ORCID

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference40 articles.

1. Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy;Al-Dabbagh;Swarm and Evolutionary Computation,2018

2. Opposition based computing—a survey;Al-Qunaieer,2010

3. Problem definitions and evaluation criteria for the CEC 2017 special session and competition on single objective bound constrained real-parameter numerical optimization;Awad,2016

4. Convex optimization;Boyd,2004

5. A fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization;Choi;Swarm and Evolutionary Computation,2021

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1. Adaptive search space for stochastic opposition-based learning in differential evolution;Knowledge-Based Systems;2024-09

2. An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection;IEEE Access;2024

3. A variable population size opposition-based learning for differential evolution algorithm and its applications on feature selection;Applied Intelligence;2023-12-27