Potential Odor Intensity Grid Based UAV Path Planning Algorithm with Particle Swarm Optimization Approach

Potential Odor Intensity Grid Based UAV Path Planning Algorithm with Particle Swarm Optimization Approach

This paper proposes a potential odor intensity grid based optimization approach for unmanned aerial vehicle (UAV) path planning with particle swarm optimization (PSO) technique. Odor intensity is created to color the area in the searching space with highest probability where candidate particles may...

Full description

Bibliographic Details
Main Authors: Yang Liu, Xuejun Zhang, Xiangmin Guan, Daniel Delahaye
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/7802798

Similar Items

Similar Items