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Multi-objective Swarm Intelligence =...
~
Panda, Mrutyunjaya.
Multi-objective Swarm Intelligence = Theoretical Advances and Applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Multi-objective Swarm Intelligence/ edited by Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda.
其他題名:
Theoretical Advances and Applications /
其他作者:
Dehuri, Satchidananda.
面頁冊數:
XIV, 201 p. 60 illus., 11 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-662-46309-3
ISBN:
9783662463093
Multi-objective Swarm Intelligence = Theoretical Advances and Applications /
Multi-objective Swarm Intelligence
Theoretical Advances and Applications /[electronic resource] :edited by Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda. - 1st ed. 2015. - XIV, 201 p. 60 illus., 11 illus. in color.online resource. - Studies in Computational Intelligence,5921860-949X ;. - Studies in Computational Intelligence,564.
Introduction -- Behavior of Bacterial Colony -- E.coli Bacterial Colonies -- Optimization based on E.coli Bacterial Colony -- Classification of BFO Algorithm -- Multi-objective optimization based on BF -- An overview of BFO Applications -- Conclusion.
The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO. .
ISBN: 9783662463093
Standard No.: 10.1007/978-3-662-46309-3doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Multi-objective Swarm Intelligence = Theoretical Advances and Applications /
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