@inproceedings{132cabe70022486596877a79f7c4f566,
title = "Chaotic Mapping Genetic Algorithm with Multiple Strategies",
abstract = "The genetic algorithm is a very successful metaheuristic algorithm. Its wide applications in recommendation algorithms, feature selection, and industrial design have proven its effectiveness. However, it still suffers from the issues of low performance and local optima. Therefore, we propose a method called Chaotic Mapping Genetic Algorithm with Multiple Strategies (CGA-M) inspired by the existence of chaos in nature's evolution and shorten the evolutionary process by the linear decline method. We test its effectiveness on the classical test set from IEEE congress on evolutionary computation (IEEE CEC). The experimental results demonstrated its superiority.",
keywords = "Chaotic Mapping, Elite Bootstrap Strategy, Genetic Algorithm, Linear Decline",
author = "Qianyu Zhu and Yifei Yang and Haotian Li and Haichuan Yang and Baohang Zhang and Shangce Gao",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 15th International Conference on Advanced Computational Intelligence, ICACI 2023 ; Conference date: 06-05-2023 Through 09-05-2023",
year = "2023",
doi = "10.1109/ICACI58115.2023.10146188",
language = "英語",
series = "2023 15th International Conference on Advanced Computational Intelligence, ICACI 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 15th International Conference on Advanced Computational Intelligence, ICACI 2023",
}