multi-objective optimization

Tuesday, February 23, 2016 - 3:50pm - 4:35pm
Juliane Mueller (Lawrence Berkeley Laboratory)
Optimization problems arise in many application areas such as engineering, transportation planning, and climate modeling. Often, several conflicting objectives must be optimized simultaneously. For example, in airfoil design the goals may be to minimize the drag and maximize the lift coefficient. For these multi-objective problems, there does not exist a single solution that optimizes all objective functions. Rather, a set of trade-off (Pareto-optimal) solutions must be identified.
Monday, June 18, 2012 - 11:00am - 11:20am
Masoud Zaripisheh (University of California)
Cancer is the second cause of death in USA with estimated deaths of 570,000 in 2010. In USA, about 2/3 of cancer patients are treated with radiotherapy since it has proven a particularly effective treatment for many cancer types. Radiation is generated by a medical linear accelerator mounted on a gantry that can deliver the radiation to the patient’s body from various orientations with optimized intensity profiles of the x-ray beams (Fig-1).
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