Evolving agents in a market simulation platform - A test for distinct meta-heuristics

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2005

Autores

Vladimiro Miranda (Autor) FEUP; Naing Win Oo (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05

Páginas: 482-487

13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05

Arlington, VA, 6 November 2005 through 10 November 2005

Indexação

Scopus - 3 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica

Outras Informações

ID Authenticus: P-007-H4P

DOI: 10.1109/isap.2005.1599311

Abstract (EN): This paper presents a comparison in performance of 3 variants of Genetic Algorithms (GA) vs. 2 variants of Evolutionary Particle Swarm Optimization (EPSO), made in the extremely complex context of a multi-energy market simulation where the behavior of energy retailers is observed. The simulations are on JADE, a FIPA compliant platform based on intelligent autonomous agents running in a cluster of PCs. Each agent formulates its strategy by an inner complex simulation process using a meta-heuristic that tries to define optimum decisions. The results suggest that an EPSO approach is more efficient than GA. © 2005 ISAP.

Idioma: Inglês

Tipo (Avaliação Docente): Científica