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Multi-objective Swarm Intelligence, Softcover reprint of the original 1st ed. 2015 Theoretical Advances and Applications Studies in Computational Intelligence Series, Vol. 592

Langue : Anglais

Coordonnateurs : Dehuri Satchidananda, Jagadev Alok Kumar, Panda Mrutyunjaya

Couverture de l’ouvrage Multi-objective Swarm Intelligence

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.       

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.

Recent research on Multi objective Swarm Intelligence

Presents theoretical advances and applications

Written by leading experts in the field

Date de parution :

Ouvrage de 201 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 108,44 €

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Date de parution :

Ouvrage de 201 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 147,69 €

Ajouter au panier
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