Optimization of Multi-Objective Coverage Strategy Based on Multiple Particle Swarm Coevolutionary Algorithm for Water Environment Monitoring System

This paper built a multi-objective optimization model and proposed an improved multi-objective particle swarm optimization algorithm called MPS2O ,which is based on Multiple Particle Swarm Co-evolutionary. The MPS2O algorithm has considerable potential for solving multi-objective optimization proble...

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Veröffentlicht in:	Applied Mechanics and Materials Jg. 742; H. Sensors, Mechatronics and Automation II; S. 360 - 363
Hauptverfasser:	Tian, Li Wei, Zhao, Hong Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Zurich Trans Tech Publications Ltd 01.03.2015
Schlagworte:	Algorithms Environmental monitoring Mathematical analysis Mathematical models Optimization Remote sensors Strategy Swarm intelligence Water Environment Monitoring Co-Evolution Particle Swarm Swarm Intelligence
ISBN:	3038354236, 9783038354239
ISSN:	1660-9336, 1662-7482, 1662-7482
Online-Zugang:	Volltext
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