Agent-Based Optimization

Ireneusz Czarnowski

ISBN 10: 3642447317 / ISBN 13: 9783642447310

Edité par Springer Berlin Heidelberg, 2015

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9783642447310

Détails bibliographiques

• Titre: Agent-Based Optimization
• Éditeur: Springer Berlin Heidelberg
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 3642447317
• ISBN à 13 chiffres: 9783642447310
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.

Présentation de l'éditeur

Featuring the latest and most promising research directions in agent-based optimization, this volume focuses on approaches deploying the multi-agent system paradigm to support, enhance, or even replace traditional solutions to optimization problems.