Evolving Equation Learner For Symbolic Regression

IF 11.7 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Evolutionary Computation Pub Date : 2024-05-23 DOI:10.1109/tevc.2024.3404650

Junlan Dong, Jinghui Zhong, Wei-Li Liu, Jun Zhang

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用于符号回归的演化方程学习器

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IF 1.7 Canadian Journal of Kidney Health and DiseasePub Date : 2022-01-01 DOI: 10.1177/20543581221084502

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Amit X Garg, Seychelle Yohanna, Kyla L Naylor, Susan Q McKenzie, Istvan Mucsi, Stephanie N Dixon, Bin Luo, Jessica M Sontrop, Mary Beaucage, Dmitri Belenko, Candice Coghlan, Rebecca Cooper, Lori Elliott, Leah Getchell, Esti Heale, Vincent Ki, Gihad Nesrallah, Rachel E Patzer, Justin Presseau, Marian Reich, Darin Treleaven, Carol Wang, Amy D Waterman, Jeffrey Zaltzman, Peter G Blake

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J. Nauta, L. Adriaensens, K. K. Wolt, W. Mechelen, E. Verhagen

来源期刊

IEEE Transactions on Evolutionary Computation 工程技术-计算机：理论方法

CiteScore

21.90

自引率

9.80%

发文量

196

审稿时长

3.6 months

期刊介绍： The IEEE Transactions on Evolutionary Computation is published by the IEEE Computational Intelligence Society on behalf of 13 societies: Circuits and Systems; Computer; Control Systems; Engineering in Medicine and Biology; Industrial Electronics; Industry Applications; Lasers and Electro-Optics; Oceanic Engineering; Power Engineering; Robotics and Automation; Signal Processing; Social Implications of Technology; and Systems, Man, and Cybernetics. The journal publishes original papers in evolutionary computation and related areas such as nature-inspired algorithms, population-based methods, optimization, and hybrid systems. It welcomes both purely theoretical papers and application papers that provide general insights into these areas of computation.