TY - JOUR A2 - Bhatnagar, V. A2 - Zhang, Y. AU - Ju, Ming-Yi AU - Wang, Siao-En AU - Guo, Jian-Horn PY - 2014 DA - 2014/05/28 TI - Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding SP - 746260 VL - 2014 AB - A hybrid evolutionary algorithm using scalable encoding method for path planning is proposed in this paper. The scalable representation is based on binary tree structure encoding. To solve the problem of hybrid genetic algorithm and particle swarm optimization, the “dummy node” is added into the binary trees to deal with the different lengths of representations. The experimental results show that the proposed hybrid method demonstrates using fewer turning points than traditional evolutionary algorithms to generate shorter collision-free paths for mobile robot navigation. SN - 2356-6140 UR - https://doi.org/10.1155/2014/746260 DO - 10.1155/2014/746260 JF - The Scientific World Journal PB - Hindawi Publishing Corporation KW - ER -