A Glowworm Swarm Optimization Algorithm for Uninhabited Combat Air Vehicle Path Planning

Uninhabited combat air vehicle (UCAV) path planning is a complicated, high-dimension optimization problem. To solve this problem, we present in this article an improved glowworm swarm optimization (GSO) algorithm based on the particle swarm optimization (PSO) algorithm, which we call the PGSO algori...

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Bibliographic Details
Main Authors: Tang Zhonghua, Zhou Yongquan
Format: Article
Language:English
Published: De Gruyter 2015-03-01
Series:Journal of Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1515/jisys-2013-0066