Michael: Difference between revisions
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'''Ph.D. Candidate''' of Tsinghua University, Beijing, China, 2005.9 -- now. | '''Ph.D. Candidate''' of Tsinghua University, Beijing, China, 2005.9 -- now. | ||
Major in System Engineering, Optimization and Scheduling of Complex Systems | Major in System Engineering, Optimization and Scheduling of Complex Systems | ||
Advisors: Prof. Yu-Chi (Larry) Ho, Harvard; Prof. Xiaohong Guan, Qianchuan Zhao, Tsinghua | Advisors: Prof. Yu-Chi (Larry) Ho, Harvard; Prof. Xiaohong Guan, Qianchuan Zhao, | ||
Tsinghua | |||
'''Bachelor of Sciences:''' | '''Bachelor of Sciences:''' | ||
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== '''Experiences''': == | == '''Experiences''': == | ||
'''Project:''' Co-operation Project between CFINS and General Motors Corporate USA, 2006.3 -- now. | '''Project:''' Co-operation Project between CFINS and General Motors Corporate USA, 2006.3 | ||
Efficient Research on Simulation and Optimization for Material Handling in assembly line. | |||
-- now. | |||
Efficient Research on Simulation and Optimization for Material Handling in assembly | |||
line. | |||
'''Intern:''' IBM China Research Lab (CRL), Beijing, 2006.6 -- 2006.11 | '''Intern:''' IBM China Research Lab (CRL), Beijing, 2006.6 -- 2006.11 | ||
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Automatic Design for Modern Architecture | Automatic Design for Modern Architecture | ||
'''Social work:''' minister of the Academic Section in Graduate Student Union, Tsinghua, 2006.9 -- now. | '''Social work:''' minister of the Academic Section in Graduate Student Union, Tsinghua, | ||
2006.9 -- now. | |||
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'''Performance Evaluation and Optimization of Complex Systems''' | '''Performance Evaluation and Optimization of Complex Systems''' | ||
Discrete Event Dynamic Systems (DEDS) are wide-existed systems in the world. In practice, many man-made systems can be modeled as DEDS, such as manufacture system, communication network, and transportation system. This kind of systems is driven by events and cannot be described through differential equations. We can only evaluation the performance through simulation. Thus, it is a practical and valuable research direction to combine the simulation and optimization effectively. My current research is based on schedule problem in manufacture system. | Discrete Event Dynamic Systems (DEDS) are wide-existed systems in the world. In practice, | ||
many man-made systems can be modeled as DEDS, such as manufacture system, communication | |||
network, and transportation system. This kind of systems is driven by events and cannot be | |||
described through differential equations. We can only evaluation the performance through | |||
simulation. Thus, it is a practical and valuable research direction to combine the | |||
simulation and optimization effectively. My current research is based on schedule problem in | |||
manufacture system. | |||
'''Stochastic Optimization''' | '''Stochastic Optimization''' | ||
Optimization through simulation can be modeled into stochastic optimization. In other words, the objective function and the constraints relate to some stochastic variables, which furthermore can only be observed through simulation and the probability characteristic of which is unknown. Prof. Xi-Ren CAO and Prof. Yu-Chi HO developed Perturbation Analysis (PA) in 1980s, which helps to extract the gradient information from one simulation. Prof. Ho developed Ordinal Optimization (OO) in 1990s, which helps to lessen the computation burden in stochastic optimization through exponential convergence of the order and goal softening. My current research efforts are mainly focused on the perturbation analysis and its combination with Markov decision processes (MDP), event-based optimization, and schedule problem in manufacture system. | Optimization through simulation can be modeled into stochastic optimization. In other words, | ||
the objective function and the constraints relate to some stochastic variables, which | |||
furthermore can only be observed through simulation and the probability characteristic of | |||
which is unknown. Prof. Xi-Ren CAO and Prof. Yu-Chi HO developed Perturbation Analysis (PA) | |||
in 1980s, which helps to extract the gradient information from one simulation. Prof. Ho | |||
developed Ordinal Optimization (OO) in 1990s, which helps to lessen the computation burden | |||
in stochastic optimization through exponential convergence of the order and goal softening. | |||
My current research efforts are mainly focused on the perturbation analysis and its | |||
combination with Markov decision processes (MDP), event-based optimization, and schedule | |||
problem in manufacture system. | |||
Revision as of 03:04, 30 March 2007
Michael Yan-Jia ZHAO
Center for Intelligent and Networked System (CFINS) Department of Automation, Tsinghua University, Beijing, China, 100084 Telephone: +86-10-62792491 (Lab) Email: zhaoyj@mails.tsinghua.edu.cn MSN: michael_zyj@hotmail.com
Education:
Ph.D. Candidate of Tsinghua University, Beijing, China, 2005.9 -- now.
Major in System Engineering, Optimization and Scheduling of Complex Systems Advisors: Prof. Yu-Chi (Larry) Ho, Harvard; Prof. Xiaohong Guan, Qianchuan Zhao,
Tsinghua
Bachelor of Sciences:
2001.9 -- 2005.7, Department of Automation, Tsinghua University, Beijing, China
Experiences:
Project: Co-operation Project between CFINS and General Motors Corporate USA, 2006.3
-- now.
Efficient Research on Simulation and Optimization for Material Handling in assembly
line.
Intern: IBM China Research Lab (CRL), Beijing, 2006.6 -- 2006.11
Optimization research in Supply Chain Management and Logistic
Intern: Tsinghua Unisplendour Corporation Limited (TH-UNIS), Beijing, 2004.7-- 2004.9.
Automatic Design for Modern Architecture
Social work: minister of the Academic Section in Graduate Student Union, Tsinghua,
2006.9 -- now.
IEEE student member: 2006.1 -- now.
Research Interests:
Performance Evaluation and Optimization of Complex Systems
Discrete Event Dynamic Systems (DEDS) are wide-existed systems in the world. In practice,
many man-made systems can be modeled as DEDS, such as manufacture system, communication
network, and transportation system. This kind of systems is driven by events and cannot be
described through differential equations. We can only evaluation the performance through
simulation. Thus, it is a practical and valuable research direction to combine the
simulation and optimization effectively. My current research is based on schedule problem in
manufacture system.
Stochastic Optimization
Optimization through simulation can be modeled into stochastic optimization. In other words,
the objective function and the constraints relate to some stochastic variables, which
furthermore can only be observed through simulation and the probability characteristic of
which is unknown. Prof. Xi-Ren CAO and Prof. Yu-Chi HO developed Perturbation Analysis (PA)
in 1980s, which helps to extract the gradient information from one simulation. Prof. Ho
developed Ordinal Optimization (OO) in 1990s, which helps to lessen the computation burden
in stochastic optimization through exponential convergence of the order and goal softening.
My current research efforts are mainly focused on the perturbation analysis and its
combination with Markov decision processes (MDP), event-based optimization, and schedule
problem in manufacture system.
