Generalized Coordinated Search Problem for a Randomly Located Target

In this paper, we aim to obtain the investigation of the coordinated search problem, in which the velocities of each searcher are random variables. Our main goal is to find a randomly located target on the real line; this target may be a hole in an oil pipeline or a cut in a power cable below the sea surface. Currently, there are two searchers on the line, and instead of starting at the origin, they search from any point on the line. The first searcher searches the right part, and the second searcher searches the left part. We provide the most efficient coordinated search method, and we calculate the expected value of the time to detect the target. In addition, the conditions under which this expected value can be minimized were derived. The most important aspect of this method is that we have possession of the most effective method for search optimization.

Authors

Institutions

Publication Details

Journal
Delta Journal of Science
Published
2024-10-26
DOI
https://doi.org/10.21608/djs.2024.324218.1194
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generalized Coordinated Search Problem for a Randomly Located Target

Hager Ali, Abd El-Moneim teamah, Ahmed Elbana
Delta Journal of Science
Optimization and Search Problems
article

Generalized Coordinated Search Problem for a Randomly Located Target

Hager Ali, Abd El-Moneim teamah, Ahmed Elbana
article en

Abstract

In this paper, we aim to obtain the investigation of the coordinated search problem, in which the velocities of each searcher are random variables. Our main goal is to find a randomly located target on the real line; this target may be a hole in an oil pipeline or a cut in a power cable below the sea surface. Currently, there are two searchers on the line, and instead of starting at the origin, they search from any point on the line. The first searcher searches the right part, and the second searcher searches the left part. We provide the most efficient coordinated search method, and we calculate the expected value of the time to detect the target. In addition, the conditions under which this expected value can be minimized were derived. The most important aspect of this method is that we have possession of the most effective method for search optimization.

Delta Journal of ScienceVol. 0(0)
Tanta University (EG)
Openalex Percentile: Top 79%
Optimization and Search Problems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.