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http://dx.doi.org/10.6109/jkiice.2018.22.2.362

Tactics Generation about Anti-submarine using Genetic Algorithm through Oceanography Environmental Change  

Park, Kang-moon (Department of Computer Science, Korea Naval Academy)
Shin, Sang-bok (Department of Computer Science, Korea Naval Academy)
Kim, Seon-jae (Department of Computer Science, Korea Naval Academy)
Hwang, Jaeryong (Department of Computer Science, Korea Naval Academy)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.2, 2018 , pp. 362-368 More about this Journal
Abstract
Making proper judgements in urgent situations facing a submarine at the sea is very critical. This is because the commander's misjudgments could drive the entire ally to destruction in a moment. In order to generate appropriate tactics on behalf of the human commander and to analyze the effectiveness in such emergency situations, studies using intelligent agents and genetic algorithms have been conducted. In this study, inference engine based intelligent agent is adopted to each warship and submarine to generate optimal tactics on the variable environment with genetic algorithms. And we analyze the risk of the alliance according to the performance of the enemy submarine through a simple simulation and generate appropriate tactics using the genetic algorithm. Also generated tactics are evaluated and the results are analyzed to figure out why such results are formed.
Keywords
Anti-submarine tactics; Agent-based simulation; Genetic algorithm; M&S;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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