Optimizing Engineering Methods with Isight

Providing an overview of Isight and optimization before moving on to discuss nonlinear optimization theories and applications

Course Objective


This advanced course will provide a brief overview of Isight and optimization before moving on to discuss nonlinear optimization theories and applications. Topics such as techniques for design space searching, multi-objective optimization, optimization strategy, and multidisciplinary optimization will be covered during the seminar. Attendees will learn key differences between the optimization algorithms offered in Isight, how to choose the preferred method depending on the problem, how to remedy issues with run-time performance, and other topics relevant to improving the usage and value of Isight for real engineering optimization problem.

The overview provides details of the topics covered in each lecture. Please note that the actual course agenda may vary depending on location.

Topics discussed in the course:

  • Design Space Exploration for Optimization problems
  • Optimization techniques (Gradient Based, Pattern Methods, Exploratory Methods)
  • Multi Objective Optimization
  • Nested Exploration and Adaptive DOE
  • Exploration techniques (Pointer and Pointer 2)
  • Optimization technique selection strategy

The course is divided into lectures and workshops. The course's workshops are integral to the training. They are designed to reinforce concepts presented during the lectures. They are intended to provide users with the experience of running and trouble-shooting actual optimization problems in Isight.

Who should attend

The course is recommended for scientists and simulation analysts and anyone else interested in using Isight for optimization (not limited to Finite Element Analysis). Introduction to Isight is the prerequisite, and only a very brief overview of the use of Isight will be covered.

Schedule and Registration

North America



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