A Real Coded Vector Population-Based Incremental Learning Algorithm for Multi-Objective Optimizations of Electromagnetic Devices

Even though evolutionary algorithm (EA) has now become the standard and paradigm for solving multi-objective design problems, the complexity of its genetic operation is, however, limiting its popularity in engineering applications. Hitherto, there has been insufficient research that addresses the in...

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Vydané v:	IEEE transactions on magnetics Ročník 54; číslo 3; s. 1 - 4
Hlavní autori:	Ho, S. L., Yang, Jiaqiang, Yang, Shiyou, Bai, Yanan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.03.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithm design and analysis Algorithms Antenna arrays Biological cells Design optimization Evolutionary algorithms Feature extraction Fitness Formulations inverse problem Inverse problems Linear programming Machine learning Magnetism multi-objective Multiple objective analysis population-based incremental learning (PBIL) Probabilistic models Sociology Statistical analysis Statistics
ISSN:	0018-9464, 1941-0069
On-line prístup:	Získať plný text
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