• Published 2012

Expensive Multiobjective Optimization and Validation with a Robotics Application

@inproceedings{Tesch2012ExpensiveMO,
  title={Expensive Multiobjective Optimization and Validation with a Robotics Application},
  author={Matthew Tesch and Jeff G. Schneider and Howie Choset},
  year={2012}
}
Many practical optimization problems, especially in robotics, involve multiple competing objectives, e.g. performance metrics such as speed and energy efficiency. Proper treatment of these objective functions is often overlooked. Additionally, optimization of the performance of robotic systems can be restricted due to the expensive nature of testing control parameters on a physical system. This paper presents a multi-objective optimization (MOO) algorithm for expensive-toevaluate functions… CONTINUE READING

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