Abstract
Pigeon-inspired optimization (PIO) is a new bio-inspiredoptimization algorithm. This algorithm searches for global optimum throughtwo models: map and compass operator model is presented based on magneticfield and sun, while landmark operator model is designed based on landmarks.In this paper, a novel Predator-prey pigeon-inspired optimization (PPPIO) isproposed to solve the three-dimensional path planning problem of unmannedaerial vehicles (UAVs), which is a key aspect of UAV autonomy. To enhancethe global convergence of the PIO algorithm, the concept of predator-prey isadopted to improve global best properties and enhance the convergence speed.The comparative simulation results show that our proposed PPPIO algorithm ismore efficient than the basic PIO and particle swarm optimization (PSO) insolving UAV three-dimensional path planning problems.
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CITATION STYLE
Zhang, B., & Duan, H. (2014). Predator-prey pigeon-inspired optimization for UAV three-dimensional path planning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8795, pp. 96–105). Springer Verlag. https://doi.org/10.1007/978-3-319-11897-0_12
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