EcoSimNet: A Multi-Agent System for Ecological Simulation and Optimization

Authors:
António Pereira;Luís Paulo Reis;Pedro Duarte
Affiliations:
NIAD&R-LIACC / DEI-FEUP --- Faculty of Engineering, University of Porto, Porto, Portugal 4200-465;NIAD&R-LIACC / DEI-FEUP --- Faculty of Engineering, University of Porto, Porto, Portugal 4200-465;CIAGEG-UFP, University Fernando Pessoa, Porto, Portugal 4249-004
Venue:
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Year:
2009

Citing 9
Cited 1

Future paths for integer programming and links to artificial intelligence

Computers and Operations Research - Special issue: Applications of integer programming
Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Parallel simulated annealing algorithms

Journal of Parallel and Distributed Computing
Intelligent agents

Multiagent systems
Multiagent systems and societies of agents

Multiagent systems
Introduction to Reinforcement Learning

Introduction to Reinforcement Learning
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach
Hybrid tabu-simulated annealing based approach to solve multi-constraint product mix decision problem

Expert Systems with Applications: An International Journal
Intelligent farmer agent for multi-agent ecological simulations optimization

EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence

Web Portal for Matching Loan Requests and Investment Offers in Peer-To-Peer Lending

International Journal of Web Portals

Quantified Score

Hi-index	0.00

Visualization

Abstract

Ecological models may be very complex due to the large number of physical, chemical, biological processes and variables and their interactions, leading to long simulation times. These models may be used to analyse different management scenarios providing support to decision-makers. Thus, the simultaneous simulation of different scenarios can make the process of analysis and decision quicker, provided that there are mechanisms to accelerate the generation of new scenarios and optimization of the choices between the results presented. This paper presents a new simulation platform --- EcoSimNet --- specially designed for environmental simulations, which allows the inclusion of intelligent agents and the introduction of parallel simulators to speed up and optimize the decision-making processes. Experiments were performed using EcoSimNet computational platform with an agent controlling several simulators and implementing a parallel version of the simulated annealing algorithm for optimizing aquaculture production. These experiments showed the capabilities of the framework, enabling a fast optimization process and making this work a step forward towards an agent based decision support system to optimize complex environmental problems.