Exploration of Novel Intelligent Optimization Algorithms
Author | : Kangshun Li |
Publisher | : Springer Nature |
Total Pages | : 517 |
Release | : 2022-07-31 |
ISBN-10 | : 9789811941092 |
ISBN-13 | : 9811941092 |
Rating | : 4/5 (092 Downloads) |
Download or read book Exploration of Novel Intelligent Optimization Algorithms written by Kangshun Li and published by Springer Nature. This book was released on 2022-07-31 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Symposium, ISICA 2021, held in Guangzhou, China, during November 19–21, 2021. The 48 full papers included in this book were carefully reviewed and selected from 99 submissions. They were organized in topical sections as follows: new frontier of multi-objective evolutionary algorithms; intelligent multi-media; data modeling and application of artificial intelligence; exploration of novel intelligent optimization algorithm; and intelligent application of industrial production.