Fuzzy Optimal Search Plan for N-Dimensional Randomly Moving Target

被引：22

作者：

El-Hadidy, Mohamed Abd Allah ^{[1
]}

机构：

[1] Tanta Univ, Fac Sci, Dept Math, Tanta 31527, Egypt

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS | 2016年 / 13卷 / 06期

关键词：

Fuzzy optimal search plan; uniformly integrable function; multiobjective nonlinear programming problem; stability set of the first kind; NONLINEAR-PROGRAMMING PROBLEMS; LINEAR SEARCH; COORDINATED SEARCH; OBJECT HIDDEN; PARAMETERS; STABILITY; EXISTENCE; STRATEGY; MOTION; PATHS;

D O I：

10.1142/S0219876216500389

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a search model that finds n-dimensional randomly moving target in which any information of the target position is not available to the searchers. There exist n-searchers, starting the searching process from the origin. Rather than finding the conditions that make the expected value of the first meeting time between one of the searchers and the target is finite, this work shows the existence of the fuzzy optimal search plan that minimizes the expected value of the first meeting time. The effectiveness of this method is illustrated by using an example with numerical results.

引用

页数：38