14
January 2015

Optimization for Engineering Design

Please Note
Material Required: A laptop with Microsoft Office Excel with the add-in Solver installed. Excel Solver is a free add-in coming with MS Excel. The installation varies a bit depends on your version.
Status: This seminar has been cancelled due to low registration.
Date: Wednesday, January 14, 2015
Time: 8:30 AM-9:00 AM: Registration and Continental Breakfast
9:00 AM-4:00 PM: Optimization for Engineering Design
Location: Vancouver, BC CANADA
Presenter:

G.Gary Wang, PhD, P.Eng.

Credit: 6 Formal Professional Development Hours (PDH)
Cost: Early Bird Price Engineers and Geoscientists BC Member: $399.00 + GST = $418.95 until Dec 31, 2014

Engineers and Geoscientists BC Member and EIT/GIT Regular Price: $399.00 + GST = $418.95

Non-Member Price: $459.00 + GST = $481.95

Student Member Price: $229.00 + GST = $240.45

Member and EIT/GIT Late Price: $459.00 + GST = $481.95
Please Note: *A minimum number of registrations are needed by December 31, 2014 to proceed with this seminar. Please register early to avoid cancellation.
**All prices are subject to applicable taxes.
Contact: Sabine Cheng | Professional Development Coordinator
Office: 604.430.8035 ext. 7026
Toll Free: 1.888.430.8035 ext.7026
Fax: 604.639.8180
Email: [email protected]
Optimization for Engineering Design Seminar. This course covers concept of optimization, problem formulation, common optimization types, and solution strategies. This course will give a brief introduction to classic gradient-based optimization methods, evolutionary algorithms, and metamodel-based design optimization for problems with lengthy or expensive simulations. The workshop will be augmented with engineering examples. Students will apply Excel solver to solve practical optimization problems, and see demonstrations of Matlab Optimization Toolbox. This course is to enhance engineers with the thinking of quantitative optimization, and equip them with methods and tools to apply optimization in designing products and processes.

 

This course covers concept of optimization, problem formulation, common optimization types, and solution strategies. This course will give a brief introduction to classic gradient-based optimization methods, evolutionary algorithms, and metamodel-based design optimization for problems with lengthy or expensive simulations. The workshop will be augmented with engineering examples. Students will apply Excel solver to solve practical optimization problems, and see demonstrations of Matlab Optimization Toolbox. This course is to enhance engineers with the thinking of quantitative optimization, and equip them with methods and tools to apply optimization in designing products and processes.

 

G. Gary Wang, PhD, P.Eng.

 

Prof. Wang has been working in the area of optimization since 1992. He has worked with many companies including General Motors (GM), Rapid Electric Vehicles (REV), Ballard Power Systems, Manitoba Hydro, Phillips and Temro Industries, E. H. Price Ltd., Vansco Electronics Ltd., Monarch Industries, etc., as well as government organizations such as Winnipeg Health Region Authority and St. Paul’s Hospital in Vancouver. He and his students have published over 50 journal articles and 70 conference articles and technical reports in optimization and related topics. He and his team have developed a suite of state-of-the-art optimization methods for design optimization, which have been successfully applied to practical problems. He has being teaching optimization at universities since 1999.



 

 



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