Research on Operation and Maintenance Route Planning of Offshore Wind Farm Based on Multiagent

Recently, the ant colony algorithm has been widely used in field of path planning, which is a key technology required for ship operations offshore wind farms to improve navigation efficiency and power generation. However, defects long search time stagnation early stage operation maintenance planning farms, it easily falls into problem local optima; furthermore, uses incremental construction build complete itinerary path, takes lot only suboptimal solution obtained. To address above problems, this paper, we propose multi-agent-based model farms. Specifically, introduction heuristic factor can optimize optimal make clearer when searching target. Based on this, increasing pheromone adjustment eliminate invalid from select high-quality path. In addition, by integrating genetic algorithm, possible select, cross, mutate simulate natural evolution process solution, reduce similarity paths constructed colony, probability stagnation, convergence speed, accuracy algorithm. Simulation experiments series benchmark datasets show that proposed GA-PACO achieves better performance global than existing three algorithms.