Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/4553
Author(s): | Filipe Cruz António Pereira Pedro Valente Pedro Duarte Luis 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. |
Description: | 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: | Cibernética Ciências Físicas Ciência de computadores Inteligência artificial Agentes inteligentes |
URI: | http://hdl.handle.net/10216/4553 |
Source: | EPIA 2007 |
Document Type: | Artigo em Livro de Atas de Conferência Internacional |
Rights: | openAccess |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
Files in This Item:
File | Description | Size | Format | |
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Intelligent Farmer Agent for MultiAgent Ecological.pdf | 202.38 kB | Adobe PDF | View/Open |
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