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...
| Autor Corporativo: | |
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| Otros Autores: | , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
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| Colección: | Studies in Computational Intelligence ;
456. Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b33047169*spi |
Tabla de Contenidos:
- 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.
