Probability Collectives: A Distributed Multi-agent System Approach for Optimization
Author:   Anand Jayant Kulkarni ,  Kang Tai ,  Ajith Abraham
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   86
ISBN:  

9783319365213


Pages:   157
Publication Date:   06 October 2016
Format:   Paperback
Availability:   In Print   Availability explained
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Probability Collectives: A Distributed Multi-agent System Approach for Optimization


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Author:   Anand Jayant Kulkarni ,  Kang Tai ,  Ajith Abraham
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   86
Dimensions:   Width: 15.50cm , Height: 0.90cm , Length: 23.50cm
Weight:   2.642kg
ISBN:  

9783319365213


ISBN 10:   3319365215
Pages:   157
Publication Date:   06 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction to Optimization.- Probability Collectives: A Distributed Optimization Approach.- Constrained Probability Collectives: A Heuristic Approach.- Constrained Probability Collectives with a Penalty Function Approach.- Constrained Probability Collectives With Feasibility-Based Rule I.- Probability Collectives for Discrete and Mixed Variable Problems.- Probability Collectives with Feasibility-Based Rule II.

Reviews

The book contains numerous overviews of the optimization literature, and each chapter has a comprehensive bibliography. The book will be of interest to both students who are interested in optimization and practitioners. (J. P. E. Hodgson, Computing Reviews, June, 2015)


“The book contains numerous overviews of the optimization literature, and each chapter has a comprehensive bibliography. The book will be of interest to both students who are interested in optimization and practitioners.” (J. P. E. Hodgson, Computing Reviews, June, 2015)


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