Approximate Uncertain Program

Chance constrained program where one seeks to minimize an objective over decisions which satisfy randomly disturbed constraints with a given probability is computationally intractable. This paper proposes an approximate approach to address chance constrained program. Firstly, a single layer neural-n...

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Vydané v:	IEEE access Ročník 7; s. 182357 - 182365
Hlavní autori:	Shen, Xun, Zhuang, Jiancang, Zhang, Xingguo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation algorithms Artificial neural networks Chance constrained program Constraints Domains extreme learning machine Indexes Machine learning Mathematical models Neural networks Optimization Probabilistic logic Probability randomized optimization Statistical analysis
ISSN:	2169-3536, 2169-3536
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