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Agent-based optimization / Ireneusz Czarnowski, Piotr Jędrzejowicz, and Janusz Kacprzyk (eds.).



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Titolo: Agent-based optimization / Ireneusz Czarnowski, Piotr Jędrzejowicz, and Janusz Kacprzyk (eds.).
Link to work: Agent-based optimization Visualizza cluster
Pubblicazione: Berlin ; New York : Springer, ©2013
Estensione: 1 online resource.
Tipo formato: computer
Tipo contenuto: text
Tipo supporto: online resource
Disciplina: 006.3
Titolo uniforme di collana: Studies in computational intelligence ; 456.
Genere/Forma: Electronic books
Index term-Uncontrolled: Engineering
Artificial intelligence
Computational Intelligence
Soggetto non controllato: Engineering
Artificial intelligence
Computational Intelligence
Termine d'indicizzazione-Occupazione: Engineering
Artificial intelligence
Computational Intelligence
Classificazione LOC: QA76.76.I58 A34 2013
Creatori/Collaboratori: Czarnowski, Ireneusz
Jędrzejowicz, Piotr
Kacprzyk, Janusz
Contenuto supplementare: Includes bibliographical references and author index.
Nota di contenuto: Machine Learning and Multiagent Systems as Interrelated Technologies / Ireneusz Czarnowski, Piotr Jędrzejowicz -- Ant Colony Optimization for the Multi-criteria Vehicle Navigation Problem / Mariusz Boryczka, Wojciech Bura -- Solving Instances of the Capacitated Vehicle Routing Problem Using Multi-agent Non-distributed and Distributed Environment / Dariusz Barbucha -- Structure vs. Efficiency of the Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation / Piotr Jędrzejowicz, Aleksander Skakovski -- Triple-Action Agents Solving the MRCPSP/Max Problem / Piotr Jędrzejowicz, Ewa Ratajczak-Ropel -- Team of A-Teams -- A Study of the Cooperation between Program Agents Solving Difficult Optimization Problems / Dariusz Barbucha, Ireneusz Czarnowski, Piotr Jędrzejowicz -- Distributed Bregman-Distance Algorithms for Min-Max Optimization / Kunal Srivastava, Angelia Nedić, Dušan Stipanović -- A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure / Anand J. Kulkarni, Kang Tai.
Restrizioni accesso: Access is restricted to users affiliated with licensed institutions.
Sommario/riassunto: 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.
Collana: Studies in computational intelligence, 1860-949X ; 456
ISBN: 9783642340970
3642340970
3642340962
9783642340963
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 004617679
Localizzazioni e accesso elettronico https://ebookcentral.proquest.com/lib/nyulibrary-ebooks/detail.action?docID=3071001
Collocazione: Electronic access
Lo trovi qui: New York University