Kun Li
Bohai University
15 Papers
8 Citations
Kun Li is an academic researcher from Bohai University. The author has contributed to research in topics: Computer science & Motion planning. The author has an hindex of 6, co-authored 10 publications.
Chat about Author
Papers
Path planning of multiple UAVs with online changing tasks by an ORPFOA algorithm
TL;DR: An improved fruit fly optimization algorithm (named ORPFOA) is proposed to solve the path planning problem in both initial task sequences and new task sequences after tasks change, in which the optimal reference point and a distance cost matrix are used to reach both faster solving and higher optimizing precision for the optimal flight path.
68
Fast stochastic configuration network based on an improved sparrow search algorithm for fire flame recognition
TL;DR: In this article , an improved sparrow search algorithm (ISSA) is used to generate the input weights and biases of hidden layer nodes, while the supervisory mechanism is retained to judge the weights and bias of all hidden layer node.
65
Path planning of UAV for oilfield inspections in a three-dimensional dynamic environment with moving obstacles based on an improved pigeon-inspired optimization algorithm
TL;DR: Simulation results show that the proposed PIOFOA method is more effective than some other methods, and a pigeon-inspired optimization algorithm is proposed to solve problems about path planning in a three-dimensional dynamic environment of oilfields.
43
Path Planning of UAV for Oilfield Inspection Based on Improved Grey Wolf Optimization Algorithm
Fawei Ge,Kun Li,Wensu Xu,Yi’an Wang +3 more
- 03 Jun 2019
TL;DR: An improved grey wolf optimization algorithm is proposed for the path planning of UAV in oilfield environment and compared with some other methods, the simulation results show that the improvedgrey wolf optimize algorithm is effective.
39
Tracking a dynamic invading target by UAV in oilfield inspection via an improved bat algorithm
TL;DR: An improved bat algorithm is proposed to improve the local searching ability of the bat algorithm (BA) which uses a food searching mechanism in the fruit fly optimization algorithm (FOA), which can effectively keep the tracking distance between the UAV and the target being about 55m, which is better than some other methods.
39