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Affiliation of Author(s):自动化学院

Title of Paper:A New Fusion Chemical Reaction Optimization Algorithm Based on Random Molecules for Multi-Rotor UAV Path Planning in Transmission Line Inspection

Journal:J. Shanghai Jiaotong Univ. Sci.

Abstract:A fusion chemical reaction optimization algorithm based on random molecules (RMCRO) is proposed to meet the special demand of power transmission line inspection. This new algorithm improves the shortcomings of chemical reaction algorithm by merging the idea of repellent-attractant rule and accelerates convergence by using difference algorithm. The molecules in this algorithm avoid obstacles and search optimal path of transmission line inspection by using sensors on multi-rotor unmanned aerial vehicle (UAV). The option of optimal path is based on potential energy of molecules and cost function without repeated parameter adjustment and complicated computation. By compared with an improved particle swarm optimization (IMPSO) in different circumstances of simulation, it can be concluded that the new algorithm presented not only can obtain more optimal path and avoid to trap in local minimum, but also can keep related sensors in a more stable status. © 2018, Shanghai Jiaotong University and Springer-Verlag GmbH Germany, part of Springer Nature.

ISSN No.:1007-1172

Translation or Not:no

Date of Publication:2018-10-01

Co-author:Yang, Qing,Hu, Guoxiong,Du, Wei

Correspondence Author:Yang Zhong