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2009, vol. 14, br. 2, str. 45-48
Genetic algorithms in modified economic model ASPEN
(naslov ne postoji na srpskom)
aFaculty of Economic Informatics, University of Economics, Bratislava, Slovakia
bInstitute of Management, Slovak University of Technology, Bratislava, Slovakia

e-adresapinda@dec.euba.sk
Ključne reči: ASPEN model of economy; genetic algorithm; multi-agent system; crossover; mutation
Sažetak
(ne postoji na srpskom)
In this work, we will focus our attention mainly on genetic algorithms in modified economic model ASPEN which deals with behavior and learning in community of heterogeneous agents. The model consists of many adaptive and mutually interacting agents. We describe interactions between agents that are made of crossover between individuals and mutation in genetic algorithms.
Reference
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Davidson, P. (2002) Agent based social simulation: A computer science view. JASS, 5 (1)
Gilbert, N., Pyka, A., Ahrweiler, P. (2001) Innovation networks: A simulation approach. JASS, vol. 4, Issue 4
Mrosko, M., Miklovičová, E., Murgaš, J. (2008) Predictive Control Using Genetic Algorithms and Multicriterial Optimization. u: International Conference on Advanced Control Circuits & Systems (ACCS08) (II), Cairo: ERI
Neglevitsky, M. (2005) Artificial Intelligence: A guide to intelligent systems. Edinburgh: Pearson Education limited
Prebys, E.K. (1996) The genetic algorithm in computer science. Retrieved January 20, 2008, from MIT Mathematics: http://www-math. mit. edu/phase2/UJM/vol1/PREBYS-F. PDF
Pryor, R., Basu, N., Quint, T. (1996) Development of Aspen: A Microanalytic Simulation Model of the US Economy. Sandia National Laboratories, Retrieved Jan 22, 2008, http://prod.sandia.gov
 

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