Philoponella Prominens Optimizer for 3D Path Planning

Escape After Love: Philoponella Prominens Optimizer and Its Application to 3D Path Planning

Philoponella Prominens Optimizer for 3D Path Planning of UAV Power Inspection

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The files in this zip archive are MATLAB m-files that can be used to study Philoponella Prominens Optimizer.

PPO is the method that I invented and wrote about in the following paper:

Yuansheng Gao, Jinpeng Wang, Changlin Li, Escape After Love: Philoponella Prominens Optimizer and Its Application to 3D Path Planning.

Abstract: In this paper, a novel metaheuristic algorithm is proposed called the Philoponella Prominens Optimizer (PPO). The PPO is inspired by the special mating behavior of the Philoponella prominens, and mainly simulates ejection and escape, active feeding and predation behavior of male after mating. In order to avoid being eaten by females, males will eject quickly after mating, and males that do not eject successfully will be eaten by females. To verify the capability of the PPO to solve benchmark problems, 29 benchmark functions from CEC2017 are used for testing. Then, the PPO is compared with eight state-of-the-art metaheuristic algorithms with Wilcoxon signed rank sum test and Friedman test. After that, the PPO is tested using four engineering problems and compared with the current publicly available test results, which validate the feasibility of the PPO to solve engineering problems. Finally, the PPO is applied to 3D path planning of unmanned aerial vehicle in power inspection, which further reflects the application value of the PPO.