Intelligent Farmer Agent for Multi-agent Ecological Simulations Optimization

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 archit...

• Type: Conference
• Year: 2007
• Where: EPIA
• Authors: Filipe Cruz, António Pereira, Pedro Valente, Pedro Duarte, Luís Paulo Reis
• Keywords: Bivalve Farmer Agent, Ecological Simulations, EPIA 2007, Farmer Agent