Research of optimal allocation of naval fleet underwater multi-objective defense based on genetic algorithm

Zhi He Shen, Bao Wei Song, Jian Feng Tang

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Concerning the feature of naval fleet defending against torpedo, an optimal model of anti-torpedo target assignment was established. In order to find global optimal results efficiently, genetic algorithm was used for solving the optimal allocation of naval fleet underwater multi-objective defense, the resolving and approach was proposed based on genetic algorithm. The optimal allocation of anti-torpedo was got and the ideal results were obtained. This shows that the method can offer a scientific reference for the decision maker in command automation of the underwater multi-objective defense combat.

Original languageEnglish
Pages (from-to)4547-4549+4554
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume20
Issue number17
StatePublished - 5 Sep 2008

Keywords

  • Firepower allocation
  • Genetic algorithm
  • Naval fleet
  • Torpedo menace
  • Underwater multi-objective defense

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