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Materials and Manufacturing Processes Volume 28, 2013 - Issue 7: Special Issue on Genetic Algorithms
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Original Articles

Device Simulation–Based Multiobjective Evolutionary Algorithm for Process Optimization of Semiconductor Solar Cells

Yiming Li Parallel and Scientific Computing Laboratory, Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, TaiwanCorrespondence[email protected]
,
Yu-Yu Chen Parallel and Scientific Computing Laboratory, Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan
,
Chieh-Yang Chen Parallel and Scientific Computing Laboratory, Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan
,
Cheng-Han Shen Parallel and Scientific Computing Laboratory, Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan
,
Hui-Wen Cheng Parallel and Scientific Computing Laboratory, Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan
,
I-Hsiu Lo Parallel and Scientific Computing Laboratory, Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan
&
Chun-Nan Chen Quantum Engineering Laboratory, Department of Physics, Tamkang University, Taipei, Taiwan
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Pages 761-767 | Received 16 Mar 2013, Accepted 16 Mar 2013, Published online: 08 Jul 2013

Citations (6)

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Read on this site (5)

Umesh Khandey, Sudarsan Ghosh & Krishnaswamy Hariharan. (2017) Machining parameters optimization for satisfying the multiple objectives in machining of MMCs. Materials and Manufacturing Processes 32:10, pages 1082-1093.
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Yiming Li & Chieh-Yang Chen. (2015) Capacitance Characteristic Optimization of Germanium MOSFETs with Aluminum Oxide by Using a Semiconductor-Device-Simulation-Based Multi-Objective Evolutionary Algorithm Method. Materials and Manufacturing Processes 30:4, pages 520-528.
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Renu Tyagi, Millie Pant, Yuvraj Singh Negi & Musrrat Ali. (2015) Optimization of the Electrical Performance of Polymeric Films. Materials and Manufacturing Processes 30:4, pages 464-473.
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Nirupam Chakraborti. (2014) Critical Assessment 3: The unique contributions of multi-objective evolutionary and genetic algorithms in materials research. Materials Science and Technology 30:11, pages 1259-1262.
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N. Chakraborti. (2014) Promise of multiobjective genetic algorithms in coating performance formulation. Surface Engineering 30:2, pages 79-82.
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Articles from other publishers (1)

Fan Li, Xiaoqi Peng, Zuo Wang, Yi Zhou, Yuxia Wu, Minlin Jiang & Min Xu. (2019) Machine Learning (ML)‐Assisted Design and Fabrication for Solar Cells. ENERGY & ENVIRONMENTAL MATERIALS 2:4, pages 280-291.
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