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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Czarnowski, Ireneusz (Επιμελητής έκδοσης), Jędrzejowicz, Piotr (Επιμελητής έκδοσης), Kacprzyk, Janusz (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:Studies in Computational Intelligence, 456
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.