Multi-objective optimisation for design and operation of anaerobic digestion using GA-ANN and NSGA-II-Reference-Cited by-同舟云学术

Multi-objective optimisation for design and operation of anaerobic digestion using GA-ANN and NSGA-II

Published:2014-11-10 Issue:1 Volume:91 Page:226-233
ISSN:0268-2575
Container-title:Journal of Chemical Technology & Biotechnology
language:en
Short-container-title:J. Chem. Technol. Biotechnol.

Author:

Huang Mingzhi¹²,Han Wei³,Wan Jinquan²³,Ma Yongwen³⁴,Chen Xiaohong¹

Affiliation:

1. Department of Water Resources and Environment; Sun Yat-sen University; Guangzhou 510275 China

2. State Key Laboratory of Pulp and Paper Engineering; South China University of Technology; Guangzhou 510640 China

3. College of Environment and Energy; South China University of Technology; Guangzhou 510640 China

4. The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education; South China University of Technology; Guangzhou 510006 China

Publisher

Wiley

Subject

Inorganic Chemistry,Organic Chemistry,Pollution,Waste Management and Disposal,Fuel Technology,Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Biotechnology

Reference28 articles.

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2. A fast predicting neural fuzzy model for on-line estimation of nutrient dynamics in an anoxic/oxic process;Huang;Bioresour Technol,2010

3. Modeling and optimization of biogas production on saw dust and other co-substrates using artificial neural network and genetic algorithm;Kana;Renew Energy,2012

4. Application of neural network prediction model to full-scale anaerobic sludge digestion;Dunyamin;J Chem Technol Biotechnol,2011

5. A hybrid genetic-neural algorithm for modeling the biodegradation process of DnBP in AAO system;Huang;Bioresour Technol,2011

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