A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Natural Computing Pub Date : 2022-07-27 DOI:10.1007/s11047-022-09889-z

Shuwei Zhu, Lihong Xu, E. Goodman, K. Deb, Zhichao Lu

引用次数: 1

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进化多目标优化中增强松弛Pareto优势方法的通用框架

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Natural Computing Computer Science-Computer Science Applications

CiteScore

4.40

自引率

4.80%

发文量

审稿时长

3 months

期刊介绍： The journal is soliciting papers on all aspects of natural computing. Because of the interdisciplinary character of the journal a special effort will be made to solicit survey, review, and tutorial papers which would make research trends in a given subarea more accessible to the broad audience of the journal.