Optimal Acoustic Search Path Planning in realistic environments based on Genetic Algorithm

被引：0

作者：

Cho, Jung-Hong ^{[1
]}

Kim, Jea-Soo ^{[1
]}

Lim, Jun-Seok ^{[2
]}

Kim, Seongil ^{[3
]}

Kim, Young-Sun ^{[3
]}

机构：

[1] Korea Maritime Univ, Dept Ocean Dev Engn, Pusan, South Korea

[2] Sejong Univ, Dept Elect & Informat Engn, Seoul, South Korea

[3] Agcy Def Dev, Jinhae, South Korea

来源：

OCEANS 2008 - MTS/IEEE KOBE TECHNO-OCEAN, VOLS 1-3 | 2008年

关键词：

D O I：

暂无

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

The measure of effectiveness for detection of sonar system is directly related to the Cumulative Detection Probability (CDP) while its operation. In order to maximize CDP, there exists an optimal search path for given environment and sonar systems. Recently, with the advance of modeling and simulation methods, it has become possible to access the optimization problem more systematically. For this purpose, a program package named as OASPP (Optimal Acoustic Search Path Planning) was developed based on Genetic Algorithm (GA) and detection algorithm with environmental models. In this paper, the simulation results for a set of cases are presented and discussed, for which cases the intuitive solution are known.

引用

页码：836 / +

页数：2

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