Probability Collectives A Distributed Multi-agent System Approach for Optimization /

• Main Authors: Kulkarni, Anand Jayant (Author), Tai, Kang (Author), Abraham, Ajith (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Intelligent Systems Reference Library, 86
• Subjects: Engineering.; Artificial intelligence.; Statistical physics.; Dynamical systems.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Statistical Physics, Dynamical Systems and Complexity.

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...

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.