Improving Convergence in Therapy Scheduling Optimization: A Simulation Study

Improving Convergence in Therapy Scheduling Optimization: A Simulation Study

The infusion times and drug quantities are two primary variables to optimize when designing a therapeutic schedule. In this work, we test and analyze several extensions to the gradient descent equations in an optimal control algorithm conceived for therapy scheduling optimization. The goal is to pro...

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Bibliographic Details
Main Authors: Juan C. Chimal-Eguia, Julio C. Rangel-Reyes, Ricardo T. Paez-Hernandez
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Mathematics
Subjects:
optimal control
immunotherapy
drug scheduling
adam optimizer
Online Access:https://www.mdpi.com/2227-7390/8/12/2114

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https://www.mdpi.com/2227-7390/8/12/2114

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