Improving effectiveness of evaluation of air formation attacking to ground with multi-phase one-step algorithm

Xiangmin Li, An Zhang, Yaozhong Zhang, Hui Li

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Purpose. Both Nash multi-phase game theory and one step algorithm already exist, but we, to our best knowledge, are the first to apply them to improving the effectiveness of evaluation of air formation attacking to ground. In the full paper, we explain in much detail how to use Nash multi-phase game theory and one-step algorithm to improve evaluation effectiveness; here we give just a briefing. We divide the whole time into smaller time units and call these smaller units as steps. We consider one step at a time, and each step is much less complex than all the steps taken together. We take survival number as the standard of evaluation. We calculate the optimized outcome of objective function so as to select the operation strategy of each step. We give five tables of numerical results for just one scenario of air formation attacking to ground. These five tables, we believe, show preliminarily that using Nash multiphase game theory and one-step algorithm can improve the effectiveness of evaluation of air formation attacking to ground.

Original languageEnglish
Pages (from-to)147-151
Number of pages5
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume24
Issue number2
StatePublished - Apr 2006

Keywords

  • Multi-phase game theory
  • Objective function
  • One-step algorithm
  • Optimized outcome

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