Spiral with line segment directory for a helix search path to find a randomly located target in the space

Mohamed Abd Allah El-Hadidy

International Journal of Operational Research, 2021, vol. 40, issue 2, 185-199

Abstract: In this paper we present more interesting search plan in the space to find a lost hanging black box in the water from a view point of computational stochastic geometry. The space is divided into cubic cells with knowing side length. There exist one searcher moves on helix path along spiral with line segment directory. Depending on the target has known trivariate known distribution, we focus on the optimal geometry features such as curvature and torsion of the helix search path which minimise the expected value of detecting the target. Assuming trivariate standard normal distribution we present numerical example to show the applicability of this model.

Keywords: computational stochastic geometry; search theory; trivariate standard normal distribution. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=113502 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:40:y:2021:i:2:p:185-199

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().