Author(s)

Haocheng Chang ¹, Huaijie Zhu ¹, Zhuolin Du ²

Affiliation(s)

¹ College of Computer and Information of Engineering, Henan University of Economics and Law, Zhengzhou, 450016, China
² School of Accounting, Henan University of Economics and Law, Zhengzhou, 450016, China

Corresponding Author

Haocheng Chang

ABSTRACT

With the widespread application of submarine technology in military and scientific research fields, the importance of submarine search and rescue is becoming increasingly prominent. How to implement effective search and rescue in the shortest possible time and control search and rescue costs has become an urgent problem to be solved. This article explores the time and cost optimization strategies for submarine search and rescue, and constructs an optimization model for submarine search and rescue time and cost. Firstly, compare the position with the highest probability using Monte Carlo method and integration method, and calculate the coordinates. Secondly, a circular search algorithm is used for each position to obtain the shortest search and rescue path by comparing simulated annealing algorithm and genetic algorithm. Finally, the PCA method is used to obtain the solution with the lowest cost. The experimental results show that the optimization strategy proposed in this paper can significantly shorten search and rescue time and reduce search and rescue costs.

KEYWORDS

Integral Method, Monte Carlo Method, PCA, Circle Search Algorithm

CITE THIS PAPER

Haocheng Chang, Huaijie Zhu, Zhuolin Du, Research on undersea search and rescue program based on localization and equipment selection. Journal of Electronics and Information Science (2024) Vol. 9: 27-35. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090305.

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