Advances in Swarm Intelligence First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part I

Author/creator Tan, Ying Editor
Other author Shi, Yuhui Editor
Other author TAN, K. A. Y. Chen Editor
Format Electronic
Publication InfoNew York : Springer
Descriptionxxvi, 746 p.
Supplemental ContentFull text available from Springer Books
Supplemental ContentFull text available from Springer Nature - Springer Computer Science eBooks 2010 English International
Supplemental ContentFull text available from SpringerLINK Lecture Notes in Computer Science Contemporary (1997-present)
Subjects

SeriesLecture Notes in Computer Science / Theoretical Computer Science and General Issues Ser.
Summary Annotation The books (LNCS 6145 and 6146) constitute the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2010, held in Beijing, China, in June 2010. The 185 revised full papers presented were carefully reviewed and selected from 394 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, PSO algorithms, applications of PSO algorithms, ACO algorithms, applications of ACO algorithms, artificial immune system, novel swarm-based optimization algorithms, genetic algorithms, evolutionary computation, hybrid algorithms, multi-objective optimization algorithms, multi-robot systems, multi-agent based complex systems (part I) and fuzzy methods, applications of computational intelligence algorithms, signal processing and information security, information processing system, intelligent control, classifier systems, machine learning methods, other optimization algorithms, data mining methods, intelligent computing methods and applications, data mining algorithms and applications, other applications (part II).
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9783642134944
ISBN3642134947 (Trade Paper) Active Record
Standard identifier# 9783642134944
Stock number3642134947 00024965

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