A Fragrance Concentration Based Artificial Bee Algorithm and Its Application in Robot Path Planning

Traditional artificial bee colony algorithm is realized in an ideal environment in which some factors such as the wind resistance and physical decreasing are ignored.This paper proposes a fragrance concentration based artificial colony algorithm——FABC algorithm,which utilizes the step and visual to improve solution accuracy.Besides,the fragrance concentration mechanism is also introduced in the scouts phase to avoid falling into local optimum and improve the convergence speed.Moreover,four classic test functions are utilized in this work to verify the effectiveness of FABC algorithm,whose results are further compared with traditional artificial bee colony algorithm and other improved bee colony algorithms.Finally,the robot path planning experiment results show that the proposed FABC algorithm can effectively solve the problem of robot path planning.