An approach to integrating HLA federations and genetic algorithms to support automatic design evaluation for multi-agent systems

2002 ◽  
Vol 9 (3-5) ◽  
pp. 167-192 ◽  
Author(s):  
Sajal K Das ◽  
Arthur A Reyes
2015 ◽  
Vol 713-715 ◽  
pp. 2106-2109
Author(s):  
Mauricio Mauledoux ◽  
Edilberto Mejía-Ruda ◽  
Oscar I. Caldas

The work is devoted to solve allocation task problem in multi agents systems using multi-objective genetic algorithms and comparing the technique with methods used in game theories. The paper shows the main advantages of genetic algorithms and the way to apply a parallel approach dividing the population in sub-populations saving time in the search and expanding the coverage of the solution in the Pareto optimal space.


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