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...

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Hlavní autor: Czarnowski, Ireneusz (Šéfredaktor, odpovědný redaktor)
Další autoři: J©edrzejowicz, Piotr (Editor, Šéfredaktor, odpovědný redaktor), Kacprzyk, Janusz, 1947- (Editor, Šéfredaktor, odpovědný redaktor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Vydání:1st ed. 2013.
Edice:Studies in Computational Intelligence 456
On-line přístup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Poznámka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Agent-Based Optimization, Texte imprimé, 9783642340963
• Agent-Based Optimization, Texte imprimé, 9783642340987
• Agent-Based Optimization, Texte imprimé, 9783642447310
• Agent-Based Optimization, Texte imprimé, 9783642340963
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505 1 |a 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 
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520 |a 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 several well-known specialists to present their solutions, tools, and models falling under the common denominator of the agent-based optimization. The book consists of eight chapters covering examples of application of the multi-agent paradigm and respective customized tools to solve  difficult optimization problems arising in different areas such as machine learning, scheduling, transportation and, more generally, distributed and cooperative problem solving 
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