Abstract

This paper proposes a multi-objective decision-making model for underwater countermeasures based on a multi-objective decision theory and solves it using the multi-objective discrete particle swarm optimization (MODPSO) algorithm. Existing decision-making models are based on fully allocated assignment without considering the weapon consumption and communication delay, which does not conform to the actual naval combat process. The minimum opponent residual threat probability and minimum own-weapon consumption are selected as two functions of the multi-objective decision-making model in this paper. Considering the impact of the communication delay, the multi-objective discrete particle swarm optimization (MODPSO) algorithm is proposed to obtain the optimal solution of the distribution scheme with different weapon consumptions. The algorithm adopts the natural number coding method, and the particle corresponds to the confrontation strategy. The simulation result shows that underwater communication delay impacts the decision-making selection. It verifies the effectiveness of the proposed model and the proposed multi-objective discrete particle swarm optimization algorithm.

Highlights

  • Autonomous underwater vehicles (AUVs) have been used increasingly in the civilian and military field with their mobility and concealed advantages

  • The NSGA-II and multi-objective discrete particle swarm optimization (MODPSO) converge on the found Pareto optimal solution set, respectively, and shown by the connection

  • This paper studies the decision-making problem of underwater cooperative confrontation deeply

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Summary

Introduction

Autonomous underwater vehicles (AUVs) have been used increasingly in the civilian and military field with their mobility and concealed advantages. AUVs are used for data collection, laying pipelines, environmental exploring, and so on. They are applied for investigation, detection, target attacking and so on. As a significant combat force, AUVs has been widely used in naval battles. The manifestation of naval war has changed from a single weapon confrontation to a formation confrontation as in the military model. The AUVs formation confronts more than one threat targets. It is especially important to scientifically and reasonably research the target allocation decision-making of underwater cooperative confrontation

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