Investigation of using a power function as a cost function in inverse planning optimization

2005 ◽  
Vol 32 (4) ◽  
pp. 920-927 ◽  
Author(s):  
Ping Xia ◽  
Naichang Yu ◽  
Lei Xing ◽  
Xuepeng Sun ◽  
Lynn J. Verhey
Keyword(s):  
Cost Function ◽  
Power Function ◽  
Inverse Planning ◽  
Planning Optimization

scholarly journals Inverse Planning Optimization Method for Intensity Modulated Radiation Therapy

2013 ◽  
Vol 12 (5) ◽  
pp. 391-401
Author(s):  
Yihua Lan ◽  
Haozheng Ren ◽  
Cunhua Li ◽  
Zhifang Min ◽  
Jinxin Wan ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Intensity Modulated Radiation Therapy ◽  
Optimization Method ◽  
Inverse Planning ◽  
Intensity Modulated ◽  
Planning Optimization

scholarly journals The constrained gravity model with power function as a cost function

2006 ◽  
Vol 2006 ◽  
pp. 1-13
Author(s):  
Bablu Samanta ◽  
Sanat Kumar Mazumder
Keyword(s):  
Cost Function ◽  
Gravity Model ◽  
Power Function ◽  
Transportation Problem ◽  
Trip Distribution ◽  
Total Cost ◽  
Numerical Example ◽  
Particular Solution ◽  
Generalized Cost ◽  
The Given

A gravity model for trip distribution describes the number of trips between two zones, as a product of three factors, one of the factors is separation or deterrence factor. The deterrence factor is usually a decreasing function of the generalized cost of traveling between the zones, where generalized cost is usually some combination of the travel, the distance traveled, and the actual monetary costs. If the deterrence factor is of the power form and if the total number of origins and destination in each zone is known, then the resulting trip matrix depends solely on parameter, which is generally estimated from data. In this paper, it is shown that as parameter tends to infinity, the trip matrix tends to a limit in which the total cost of trips is the least possible allowed by the given origin and destination totals. If the transportation problem has many cost-minimizing solutions, then it is shown that the limit is one particular solution in which each nonzero flow from an origin to a destination is a product of two strictly positive factors, one associated with the origin and other with the destination. A numerical example is given to illustrate the problem.

MO-D-ValA-03: Inverse Planning Optimization with Organ Motion Probability

2006 ◽  
Vol 33 (6Part14) ◽  
pp. 2164-2164
Author(s):  
T Bortfeld ◽  
A Trofimov ◽  
T Chan ◽  
B Martin ◽  
H Paganetti ◽  
...  
Keyword(s):  
Organ Motion ◽  
Inverse Planning ◽  
Planning Optimization ◽  
Motion Probability
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