Decision Optimization Method via Fuzzy Evaluation for AUV Covert Search Condition

Abstract

A decision optimization issue is studied for autonomous underwater vehicle (AUV) covert search condition via fuzzy evaluation in this article. optimization constants with AUV subsystem status are investigated to describe multi-factor problems. Under fuzzy theory, in order to obtain the objective function, a fuzzy evaluation subsystem is established, which can achieve the evaluation of coupled factors. Moreover, applying modified simulated annealing algorithm, the evaluation subsystem can obtain the score of AUV covert search condition and the local optimal solution. Finally, the correctness of the method is confirmed by simulation examples.