Abstract:
Improvements in the production and energy consumption of the aluminum electrolysis process (AEP) directly depend on the operating parameters of the electrolytic cell. To ...Show MoreMetadata
Abstract:
Improvements in the production and energy consumption of the aluminum electrolysis process (AEP) directly depend on the operating parameters of the electrolytic cell. To balance the conflicting goals of efficiency and productivity with reduced energy consumption and emissions, AEP operating parameter optimization is formulated as a constrained multiobjective optimization problem with competing objectives of current efficiency and cell voltage. Then, the improved multiobjective quantum-behaved particle swarm optimization (IMQPSO) algorithm is proposed. The application of an adaptive opposition-based learning strategy and a piecewise Gauss mutation operator can increase the diversity of the population and enhance the global search ability of the IMQPSO. To expand the creativity of the particles, two iterative methods of the mean best position with weighting and the attractor position are redesigned. Experimental analyses are conducted for the benchmark problems and a real case to verify the effectiveness of the proposed method.
Published in: IEEE Transactions on Industrial Informatics ( Volume: 14, Issue: 8, August 2018)
Funding Agency:
College of Electronic and Information Engineering, Chongqing University of Science and Technology, Chongqing, China
Jun Yi received the B.S. and M.S. degrees in computer science and
technology from the University of Electronic Science and Technology of China, Chengdu, China, in 2002 and 2006,
respectively, and the Ph.D. degree in control theory and engineering from Chongqing University, Chongqing, China, in
2010.
He is currently an Associate Professor at Chongqing University of Science and Technology, Chongqing, China. His
research ...Show More
Jun Yi received the B.S. and M.S. degrees in computer science and
technology from the University of Electronic Science and Technology of China, Chengdu, China, in 2002 and 2006,
respectively, and the Ph.D. degree in control theory and engineering from Chongqing University, Chongqing, China, in
2010.
He is currently an Associate Professor at Chongqing University of Science and Technology, Chongqing, China. His
research ...View more
College of Electronic and Information Engineering, Chongqing University of Science and Technology, Chongqing, China
Junren Bai received the B.S. degree in electrical engineering and
automation from the Chongqing University of Science and Technology, Chongqng, China, in 2016, where he is currently
working toward the M.S. degree at the College of Electrical and Information Engineering.
His research interests include complex industrial process modeling and intelligent optimization.
Junren Bai received the B.S. degree in electrical engineering and
automation from the Chongqing University of Science and Technology, Chongqng, China, in 2016, where he is currently
working toward the M.S. degree at the College of Electrical and Information Engineering.
His research interests include complex industrial process modeling and intelligent optimization.View more
College of Electronic and Information Engineering, Chongqing University of Science and Technology, Chongqing, China
Wei Zhou received the B.S. degree in electronic and information
engineering from Southwest University, Chongqing, China, in 2008 and the Ph.D. degree in control theory and
engineering from Chongqing University, Chongqing, China, in 2012.
He is currently an Associate Professor at the College of Electrical and Information Engineering, Chongqing
University of Science and Technology, Chongqing, China. His research interests...Show More
Wei Zhou received the B.S. degree in electronic and information
engineering from Southwest University, Chongqing, China, in 2008 and the Ph.D. degree in control theory and
engineering from Chongqing University, Chongqing, China, in 2012.
He is currently an Associate Professor at the College of Electrical and Information Engineering, Chongqing
University of Science and Technology, Chongqing, China. His research interests...View more
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA
Haibo He (SM’11–F’18) received the B.S. and M.S.
degrees from the Huazhong University of Science and Technology, Wuhan, China, in 1999 and 2002, respectively, and the
Ph.D. degree from Ohio University, Athens, OH, USA, in 2006, all in electrical engineering.
He is currently the Robert Hass Endowed Professor and the Department Chair in the Electrical Engineering Department
at the University of Rhode Island, Kingstown, RI...Show More
Haibo He (SM’11–F’18) received the B.S. and M.S.
degrees from the Huazhong University of Science and Technology, Wuhan, China, in 1999 and 2002, respectively, and the
Ph.D. degree from Ohio University, Athens, OH, USA, in 2006, all in electrical engineering.
He is currently the Robert Hass Endowed Professor and the Department Chair in the Electrical Engineering Department
at the University of Rhode Island, Kingstown, RI...View more
College of Electronic and Information Engineering, Chongqing University of Science and Technology, Chongqing, China
Lizhong Yao received the M.S. degree in mechanical engineering from
Xi’an Shiyou University, Xi’an, China, in 2013.
He is currently a Lecturer at the Department of Electrical and Information Engineering, Chongqing University of
Science and Technology, Chongqing, China. His research interests include soft sensor, modeling on industrial process,
and intelligent manufacturing.
Lizhong Yao received the M.S. degree in mechanical engineering from
Xi’an Shiyou University, Xi’an, China, in 2013.
He is currently a Lecturer at the Department of Electrical and Information Engineering, Chongqing University of
Science and Technology, Chongqing, China. His research interests include soft sensor, modeling on industrial process,
and intelligent manufacturing.View more
Contents College of Electronic and Information Engineering, Chongqing University of Science and Technology, Chongqing, China
Jun Yi received the B.S. and M.S. degrees in computer science and
technology from the University of Electronic Science and Technology of China, Chengdu, China, in 2002 and 2006,
respectively, and the Ph.D. degree in control theory and engineering from Chongqing University, Chongqing, China, in
2010.
He is currently an Associate Professor at Chongqing University of Science and Technology, Chongqing, China. His
research interests include industrial process modeling and intelligent optimization.
Jun Yi received the B.S. and M.S. degrees in computer science and
technology from the University of Electronic Science and Technology of China, Chengdu, China, in 2002 and 2006,
respectively, and the Ph.D. degree in control theory and engineering from Chongqing University, Chongqing, China, in
2010.
He is currently an Associate Professor at Chongqing University of Science and Technology, Chongqing, China. His
research interests include industrial process modeling and intelligent optimization.View more
College of Electronic and Information Engineering, Chongqing University of Science and Technology, Chongqing, China
Junren Bai received the B.S. degree in electrical engineering and
automation from the Chongqing University of Science and Technology, Chongqng, China, in 2016, where he is currently
working toward the M.S. degree at the College of Electrical and Information Engineering.
His research interests include complex industrial process modeling and intelligent optimization.
Junren Bai received the B.S. degree in electrical engineering and
automation from the Chongqing University of Science and Technology, Chongqng, China, in 2016, where he is currently
working toward the M.S. degree at the College of Electrical and Information Engineering.
His research interests include complex industrial process modeling and intelligent optimization.View more
College of Electronic and Information Engineering, Chongqing University of Science and Technology, Chongqing, China
Wei Zhou received the B.S. degree in electronic and information
engineering from Southwest University, Chongqing, China, in 2008 and the Ph.D. degree in control theory and
engineering from Chongqing University, Chongqing, China, in 2012.
He is currently an Associate Professor at the College of Electrical and Information Engineering, Chongqing
University of Science and Technology, Chongqing, China. His research interests include fault diagnosis, industrial
process modeling, and intelligent optimization.
Wei Zhou received the B.S. degree in electronic and information
engineering from Southwest University, Chongqing, China, in 2008 and the Ph.D. degree in control theory and
engineering from Chongqing University, Chongqing, China, in 2012.
He is currently an Associate Professor at the College of Electrical and Information Engineering, Chongqing
University of Science and Technology, Chongqing, China. His research interests include fault diagnosis, industrial
process modeling, and intelligent optimization.View more
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA
Haibo He (SM’11–F’18) received the B.S. and M.S.
degrees from the Huazhong University of Science and Technology, Wuhan, China, in 1999 and 2002, respectively, and the
Ph.D. degree from Ohio University, Athens, OH, USA, in 2006, all in electrical engineering.
He is currently the Robert Hass Endowed Professor and the Department Chair in the Electrical Engineering Department
at the University of Rhode Island, Kingstown, RI, USA. His current research interests include computational
intelligence, smart grid, cyber security, and various applications such as smart grid, cognitive radio, sensor
networks, and others. He has published 1 sole-author research book (Wiley), edited 1 book (Wiley–IEEE) and 6
conference proceedings (Springer), and authored and coauthored more than 280 peer-reviewed journal and conference
papers.
Dr. He is currently the Editor-in-Chief for the IEEE Transactions on Neural Networks and Learning Systems.
He received the IEEE International Conference on Communications Best Paper Award in 2014, the IEEE Computational
Intelligence Society Outstanding Early Career Award in 2014, the National Science Foundation CAREER Award in 2011, and
the Providence Business News “Rising Star Innovator of The Year” Award in 2011.
Haibo He (SM’11–F’18) received the B.S. and M.S.
degrees from the Huazhong University of Science and Technology, Wuhan, China, in 1999 and 2002, respectively, and the
Ph.D. degree from Ohio University, Athens, OH, USA, in 2006, all in electrical engineering.
He is currently the Robert Hass Endowed Professor and the Department Chair in the Electrical Engineering Department
at the University of Rhode Island, Kingstown, RI, USA. His current research interests include computational
intelligence, smart grid, cyber security, and various applications such as smart grid, cognitive radio, sensor
networks, and others. He has published 1 sole-author research book (Wiley), edited 1 book (Wiley–IEEE) and 6
conference proceedings (Springer), and authored and coauthored more than 280 peer-reviewed journal and conference
papers.
Dr. He is currently the Editor-in-Chief for the IEEE Transactions on Neural Networks and Learning Systems.
He received the IEEE International Conference on Communications Best Paper Award in 2014, the IEEE Computational
Intelligence Society Outstanding Early Career Award in 2014, the National Science Foundation CAREER Award in 2011, and
the Providence Business News “Rising Star Innovator of The Year” Award in 2011.View more
College of Electronic and Information Engineering, Chongqing University of Science and Technology, Chongqing, China
Lizhong Yao received the M.S. degree in mechanical engineering from
Xi’an Shiyou University, Xi’an, China, in 2013.
He is currently a Lecturer at the Department of Electrical and Information Engineering, Chongqing University of
Science and Technology, Chongqing, China. His research interests include soft sensor, modeling on industrial process,
and intelligent manufacturing.
Lizhong Yao received the M.S. degree in mechanical engineering from
Xi’an Shiyou University, Xi’an, China, in 2013.
He is currently a Lecturer at the Department of Electrical and Information Engineering, Chongqing University of
Science and Technology, Chongqing, China. His research interests include soft sensor, modeling on industrial process,
and intelligent manufacturing.View more
