A Penalization Approach in Breast Cancer Chemotherapy: Preliminary Numerical Simulations

In this paper, we discuss preliminary numerical simulation results that stem from an optimal control problem in breast cancer chemotherapy. The objective of this control problem is to minimize the growth of tumor cells while minimizing damage to normal tissue, considering that chemotherapeutic agents affect both tumor cells and healthy cells. The control variable is drug concentration, and the state variable is the tumor density in the breast. We first formulate the optimal control problem by specifying a performance criterion and various constraints and then investigate the necessary optimality conditions. Next, we present an optimization algorithm for solving the control problem. Finally, we present and discuss numerical simulations to demonstrate the importance of the suggested optimal control strategy for tumor cell eradication.

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Published
2024-10-17
DOI
https://doi.org/10.1109/icoa62581.2024.10754206
Primary Topic
Mathematical Biology Tumor Growth
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article
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article

A Penalization Approach in Breast Cancer Chemotherapy: Preliminary Numerical Simulations

David Lassounon, Aziz Belmiloudi, Mounir Haddou
Mathematical Biology Tumor Growth
article

A Penalization Approach in Breast Cancer Chemotherapy: Preliminary Numerical Simulations

David Lassounon, Aziz Belmiloudi, Mounir Haddou
article en

Abstract

In this paper, we discuss preliminary numerical simulation results that stem from an optimal control problem in breast cancer chemotherapy. The objective of this control problem is to minimize the growth of tumor cells while minimizing damage to normal tissue, considering that chemotherapeutic agents affect both tumor cells and healthy cells. The control variable is drug concentration, and the state variable is the tumor density in the breast. We first formulate the optimal control problem by specifying a performance criterion and various constraints and then investigate the necessary optimality conditions. Next, we present an optimization algorithm for solving the control problem. Finally, we present and discuss numerical simulations to demonstrate the importance of the suggested optimal control strategy for tumor cell eradication.

Centre National de la Recherche Scientifique (FR), Institut National des Sciences Appliquées de Rennes (FR), Institut de recherche mathématique de Rennes (FR), Université de Rennes (FR)
Openalex Percentile: Top 92%
Mathematical Biology Tumor Growth
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A Penalization Approach in Breast Cancer Chemotherapy: Preliminary Numerical Simulations — David Lassounon, Aziz Belmiloudi, et al. · (2024) | TGRS Research Map | TGRS