Title :
A new approach for genetic algorithm as a support to the simulation of complex systems
Author :
Anacleto Silva, J.C. ; Kirner, Claudio
Author_Institution :
Dept. of Comput. Sci., Fed. Univ. of Sao Carlos, Brazil
Abstract :
This paper presents the genetic algorithm technique for supporting the process of complex systems simulation. Such technique can be seen as an option to the traditional simulation data modeling and analysis techniques. Due to its inherent simplicity and generic application, it simplifies the whole process of simulation, demanding no specific knowledge over the problem domain. A genetic algorithm based computational tool for the simulation of such systems is presented, and an example of its use is analyzed, thus demonstrating the feasibility of this new technique application in simulation processes
Keywords :
computer graphics; data analysis; digital simulation; genetic algorithms; large-scale systems; oil refining; simulation; complex systems; computer graphics; data analysis; genetic algorithm; oil refinery; simulation; Analytical models; Art; Computational modeling; Computer science; Computer simulation; Context modeling; Data analysis; Genetic algorithms; Power engineering computing; Power system management;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.638131
