Probability Collectives A Distributed Multi-agent System Approach for Optimization

This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniqu...

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Bibliographic Details
Main Authors: Kulkarni, Anand Jayant, Tai, Kang (Author), Abraham, Ajith (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2015, 2015
Edition:1st ed. 2015
Series:Intelligent Systems Reference Library
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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.