Intelligent farmer agent for multi-agent ecological simulations optimization

Beitrag in Konferenzband



Details zur Publikation

Autorenliste: Valente, P.
Jahr der Veröffentlichung: 2007
Bandnummer: 4874 LNAI
Erste Seite: 593
Letzte Seite: 604
Seitenumfang: 12
ISBN: 0302-9743
Sprachen: Englisch-Vereinigtes Königreich (EN-GB)


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. © Springer-Verlag
Berlin Heidelberg 2007.


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Zuletzt aktualisiert 2019-02-05 um 13:21