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Benchmarking Derivative Free Optimization Algorithms
Joey Reed
UCSD
Abstract:
With increasingly complex optimization problems to solve, the availiability and computability of derivatives becomes unreasonable. As a result, it is important to test the quality of different optimization algorithms which do not use derivative information. We present a small benchmarking collection for direct search algorithms. All implementation has been done in MATLAB. This work was joint with Jorge More of Argonne National Lab.
Tuesday, October 14, 2008
11:00AM AP&M 2402
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Randolph E. Bank
Philip E. Gill
Michael Holst
Administrative Contact:
[ Click to Send Email ]
Joey Reed
UCSD
Abstract:
With increasingly complex optimization problems to solve, the availiability and computability of derivatives becomes unreasonable. As a result, it is important to test the quality of different optimization algorithms which do not use derivative information. We present a small benchmarking collection for direct search algorithms. All implementation has been done in MATLAB. This work was joint with Jorge More of Argonne National Lab.
Tuesday, October 14, 2008
11:00AM AP&M 2402