Simulation-Based Tactics Generation for Warship Combat Using the Genetic Algorithm

Yong-Jun YOU  Sung-Do CHI  Jae-Ick KIM  

IEICE TRANSACTIONS on Information and Systems   Vol.E94-D   No.12   pp.2533-2536
Publication Date: 2011/12/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E94.D.2533
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Artificial Intelligence, Data Mining
genetic algorithm,  warship combat,  tactics generation,  evolutionary simulation,  

Full Text: PDF>>
Buy this Article

In most existing warships combat simulation system, the tactics of a warship is manipulated by human operators. For this reason, the simulation results are restricted due to the capabilities of human operators. To deal with this, we have employed the genetic algorithm for supporting the evolutionary simulation environment. In which, the tactical decision by human operators is replaced by the human model with a rule-based chromosome for representing tactics so that the population of simulations are created and hundreds of simulation runs are continued on the basis of the genetic algorithm without any human intervention until finding emergent tactics which shows the best performance throughout the simulation. Several simulation tests demonstrate the techniques.