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.