Context-Aware Path Planning in Ubiquitous Network
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
UbiPaPaGo: Context-aware path planning
Expert Systems with Applications: An International Journal
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part II
Mobility management in ubiquitous environments
Personal and Ubiquitous Computing
Dynamic path planning of mobile robots with improved genetic algorithm
Computers and Electrical Engineering
Using genetic algorithms for navigation planning in dynamic environments
Applied Computational Intelligence and Soft Computing
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An improved genetic algorithm of optimum path planning for mobile robots is proposed in this paper. An obstacle avoidance algorithm is introduced to generate the initial population in order to improve the path planning efficiency. Domain heuristic knowledge based crossover, mutation, refinement and deletion operators are specifically designed to fit path planning for mobile robots. Furthermore, a fuzzy logic control algorithm is integrated to self-adaptively adjust the probabilities of crossover and mutation in the genetic algorithm. Simulation studies for both static and dynamic environments are carried out, and the simulation results show that the proposed genetic algorithm exhibits improved search speed, high search quality and enhanced self-adaptability.