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