원문정보
초록
영어
The traditional genetic algorithm randomly selects nodes in two chromosomes for crossover operation, which may result in individuals of disconnected or loop circuit and lead to issues as meaningless crossover operations. In order to increase the diversity of the population and prevent the occurrence of premature mutation algorithm which might cause local convergence, this essay presents a new urban traffic optimal path planning method. Initialized from the improvement of population genetic algorithm, it designs the fitness function and optimizes crossover and mutation operators so that the optimal or near-optimal solution can be quickly figured out. Moreover, the Matlab software simulation test exhibits the feasibility and effectiveness of the method.
목차
1. Introduction
2. The Urban Traffic Optimal Path Design based on Genetic Agorithms
2.1 Population Initialization
2.2 Fitness Function Design
2.3 Improved Crossover Operator
2.4. Improved Mutation Operator
3. Experimental Verification
4. Conclusion
References