Paper
15 August 2023 Yin-yang pair algorithm based on cubic chaos and lens imaging learning
Shuzhi Li, Junbin Wang, Xiaohong Deng
Author Affiliations +
Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127191A (2023) https://doi.org/10.1117/12.2685472
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China
Abstract
In order to solve the problem that the Yin-Yang Pair Algorithm (YYPO) tends to converge prematurely and has low convergence accuracy, a Yin-Yang Pair Optimization Algorithm (CYYPO) that combines Cubic chaotic mapping and lens imaging learning strategies is proposed. The algorithm uses Cubic chaotic mapping to initialize the two points of yin and yang, and uses the strategy of lens imaging learning method to design a new forward and reverse search segmentation method, which is tested by CEC2013 standard test function, and the results show that compared with the most basic YYPO and other five intelligent optimization algorithms, CYYPO has higher computational accuracy and more outstanding performance advantages.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shuzhi Li, Junbin Wang, and Xiaohong Deng "Yin-yang pair algorithm based on cubic chaos and lens imaging learning", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127191A (15 August 2023); https://doi.org/10.1117/12.2685472
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KEYWORDS
Mathematical optimization

Chaos

Particle swarm optimization

Algorithm development

Design and modelling

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