Multi-objective Quadratic Programming
Multi-Objective Quadratic Programming is a mathematical optimization framework that belongs to the class of multi-objective programming problems in which at least one objective function is quadratic, distinguished by its simultaneous minimization of multiple quadratic and/or linear objective functions subject to a set of linear or quadratic constraints.
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2017–2026
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Optimization of importance factors in inverse planning
J G Li, Sarah S. Donaldson, Quynh‐Thu Le et al. · Physics in Medicine and Biology · 1999 · 174 citations
Medicine, Radiology, Optimization +16
A novel approach to multi-criteria inverse planning for IMRT
Sebastiaan Breedveld, P R M Storchi, Marleen Keijzer et al. · Physics in Medicine and Biology · 2007 · 107 citations · Full text
Folding deformable objects using predictive simulation and trajectory optimization
Yinxiao Li, Yonghao Yue, Danfei Xu et al. · 2015 · 107 citations · Full text
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Stanford University
Stanford, United States
2 h-index
10 publications
1.1K citations
Case Western Reserve University
Cleveland, United States
2 h-index
4 publications
113 citations
Guangdong Polytechnic Normal University
Guangzhou, China
1 h-index
1 publications
14 citations

Reykjavík University
Reykjavik, Iceland
1 h-index
1 publications
94 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
1 publications
21 citations
Xi'an University of Technology
Xi'an, China
1 h-index
5 publications
90 citations

Lund University
Lund, Sweden
1 h-index
1 publications
20 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
1 publications
21 citations
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3 publications · 132 citations
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2 publications · 32 citations
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2 publications · 135 citations
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2 publications · 85 citations
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2 publications · 281 citations
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