Agent-Based Optimization

This volume presents a collection of original research works by leading specialists focusing on novel and promising approaches in which the multi-agent system paradigm is used to support, enhance or replace traditional approaches to solving difficult optimization problems. The editors have invited s...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Czarnowski, Ireneusz (Editor), Jędrzejowicz, Piotr (Editor), Kacprzyk, Janusz (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Series:Studies in Computational Intelligence, 456
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Machine Learning and Multiagent Systems as Interrelated Technologies
  • Ant Colony Optimization for the Multi-criteria Vehicle Navigation Problem
  • Solving Instances of the Capacitated Vehicle Routing Problem Using Multi-Agent Non-Distributed and Distributed Environment
  • Structure vs. Efficiency of the Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation
  • Triple-Action Agents Solving the MRCPSP/max Problem
  • Team of A-Teams - a Study of the Cooperation Between Program Agents Solving Difficult Optimization Problems
  • Distributed Bregman-Distance Algorithms for Min-Max Optimization
  • A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure.