Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/101031
Author(s): Filipe Cruz
António Pereira
Pedro Valente
Pedro Duarte
Luís Paulo Reis
Title: Intelligent farmer agent for multi-agent ecological simulations optimization
Issue Date: 2007
Abstract: This paper presents the development of a bivalve farmer agent interacting with a realistic ecological simulation system. The purpose of the farmer agent is to determine the best combinations of bivalve seeding areas in a large region, maximizing the production without exceeding the total allowed seeding area. A system based on simulated annealing, tabu search, genetic algorithms and reinforcement learning, was developed to minimize the number of iterations required to unravel a semi-optimum solution by using customizable tactics. The farmer agent is part of a multi-agent system where several agents, representing human interaction with the coastal ecosystems, communicate with a realistic simulator developed especially for aquatic ecological simulations. The experiments performed revealed promising results in the field of optimization techniques and multi-agent systems applied to ecological simulations. The results obtained open many other possible uses of the simulation architecture with applications in industrial and ecological management problems, towards sustainable development.
Subject: Tecnologia de software, Ciências da computação e da informação
Software technology, Computer and information sciences
URI: http://hdl.handle.net/10216/101031
Source: PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

Files in This Item:
File Description SizeFormat 
56095.pdf544.29 kBAdobe PDF    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.