The application of Improved micro-Genetic Algorithm in Path Planning for AUV
Gao Son · Microcomputer Information · 2010
This paper studies an approach to the global collision-free path planning for Autonomous Underwater Vehicle (AUV) in the static circumstance and proposes an environment model by vertex-image method, then uses the improved micro-Genetic Algo-rithm (μGA) to find a shortest path from the source position to the destination position for AUV. Simulation experiments and results are given in this paper. The approach is proved to be valid and feasible, and can obviously advance effect of optimization and can expedite operation by simulation.