Title :
Bit-string optimization in a brachytherapy dosimetry problem
Author :
Chakraborty, U.K. ; Dastidar, D. Ghosh
Author_Institution :
Dept. of Comput. Sci. & Eng., Jadavpur Univ., Calcutta, India
Abstract :
A problem in radiotherapy planning is solved by applying the following search algorithms: artificial genetic search, with fixed crossover probability, with variable crossover probability, and with cut-point distribution; simulated annealing, serial and parallel; stochastic hill-climbing; next-ascent hill-climbing; and steepest-ascent hill-climbing. Given a number of points at each of which a predetermined dose of radiation is required, the problem is to optimize the settings of the radiation sources present in each of three directions (X, Y, and Z) in a three-dimensional selection device such that the sum-squared dose variation is minimized
Keywords :
dosimetry; radiation therapy; simulated annealing; stochastic processes; artificial genetic search; bit-string optimisation; brachytherapy dosimetry problem; cut-point distribution; fixed crossover probability; next-ascent hill-climbing; simulated annealing; steepest-ascent hill-climbing; stochastic hill-climbing; sum-squared dose variation; three-dimensional selection device; variable crossover probability; Brachytherapy; Cancer; Computational modeling; Computer science; Dosimetry; Genetics; Simulated annealing; Stochastic processes; Virtual colonoscopy; Visualization;
Conference_Titel :
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-0849-2
DOI :
10.1109/TENCON.1992.271908