Eigen Crossover in Cooperative Model of Evolutionary Algorithms Applied to CEC 2022 Single Objective Numerical Optimisation
Author:
Affiliation:
1. University of Ostrava,Faculty of Science,Department of Informatics and Computers
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870433.pdf?arnumber=9870433
Reference26 articles.
1. Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems
2. Cooperative Model of Evolutionary Algorithms Applied to CEC 2019 Single Objective Numerical Optimization
3. Cooperative Model of Evolutionary Algorithms and Real-World Problems
4. Differential evolution based on covariance matrix learning and bimodal distribution parameter setting
5. A self-optimization approach for L-SHADE incorporated with eigenvector-based crossover and successful-parent-selecting framework on CEC 2015 benchmark set
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