Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Kulkarni, Anand Jayant. (Author, http://id.loc.gov/vocabulary/relators/aut), Tai, Kang. (http://id.loc.gov/vocabulary/relators/aut), Abraham, Ajith. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Intelligent Systems Reference Library, 86
Subjects:
Computational intelligence.
Artificial intelligence.
Statistical physics.
Dynamical systems.
Computational Intelligence.
Artificial Intelligence.
Complex Systems.
Statistical Physics and Dynamical Systems.
Online Access:https://doi.org/10.1007/978-3-319-16000-9
Tags: Add Tag
No Tags, Be the first to tag this record!
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.

Similar Items