Research on Path Optimization Method Based on Improved Genetic Algorithm

In the field of navigation systems, in order to obtain the optimal, most complex, shortest time, and shortest distance guiding path, a path optimization method based on an improved genetic algorithm is proposed. The path optimization improved genetic algorithm is developed using a random number encoding method. This method analyzes the advantages and disadvantages of traditional approaches for finding the shortest path and shortest time. It also analyzes the evaluation function for optimal path planning, establishes a navigation path model and constraints, and incorporates personalized user preferences for must-visit attractions, providing visitors with a more comfortable navigation environment. This solution addresses issues related to exhibition layout logic, duration of stay, and achieves optimal path optimization algorithms.