Optimal inverse treatment planning by stochastic continuation

Simulated annealing (SA) is a well-known optimal approach to global optimization which is often used in inverse treatment planning. However, SA generally converges very slowly and many acceleration techniques have been proposed at the expense of a loss of theoretical convergence properties. In this...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Robini, M C, Smekens, F, Sixou, B
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Annealing Cooling inverse treatment planning Markov processes Planning Radiotherapy Simulated annealing stochastic continuation Tumors
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