This paper presents a case study application of a cancer treatment center facility. A simulation model was created and integrated to a multi-objective optimization heuristic developed by the authors with the purpose of finding the best combination of control variables that optimize the performance of four different objectives related to the system. The results obtained show that the implementation of the proposed solution could improve the four objectives in comparison to the existing solution
Hospitals are huge and complex systems. However, for many years, the management was commonly focused...
Thesis (Ph.D.)--University of Washington, 2016-08Healthcare systems have attracted the attention of ...
A new approach towards the design of optimal multiple drug experimental cancer chemotherapy is prese...
This study presents an approach to solve multi-response simulation optimization problems. This appro...
This study presents an approach to solve multi-response simulation optimization problems. This appro...
This study presents an approach to solve multi-response simulation optimization problems. This appro...
In this work we deal with a cancer problem involving the growth of tumor cells and their interaction...
This work addresses experience with a simulation model of a full service cancer treatment center. Th...
This paper describes a methodology which combines elements of statistics, probability, mathematical ...
This paper presents a multi-drug chemotherapy scheduling method for cancer treatment using multi-obj...
<div><p>Numerous problems encountered in computational biology can be formulated as optimization pro...
Numerous problems encountered in computational biology can be formulated as optimization problems. I...
In this project, various available multi-objective optimization evolutionary algorithms were compare...
Hospitals are huge and complex systems. However, for many years, the management was commonly focused...
Discrete Event Simulation (DES) is nowadays widely used to support decision makers in system analysi...
Hospitals are huge and complex systems. However, for many years, the management was commonly focused...
Thesis (Ph.D.)--University of Washington, 2016-08Healthcare systems have attracted the attention of ...
A new approach towards the design of optimal multiple drug experimental cancer chemotherapy is prese...
This study presents an approach to solve multi-response simulation optimization problems. This appro...
This study presents an approach to solve multi-response simulation optimization problems. This appro...
This study presents an approach to solve multi-response simulation optimization problems. This appro...
In this work we deal with a cancer problem involving the growth of tumor cells and their interaction...
This work addresses experience with a simulation model of a full service cancer treatment center. Th...
This paper describes a methodology which combines elements of statistics, probability, mathematical ...
This paper presents a multi-drug chemotherapy scheduling method for cancer treatment using multi-obj...
<div><p>Numerous problems encountered in computational biology can be formulated as optimization pro...
Numerous problems encountered in computational biology can be formulated as optimization problems. I...
In this project, various available multi-objective optimization evolutionary algorithms were compare...
Hospitals are huge and complex systems. However, for many years, the management was commonly focused...
Discrete Event Simulation (DES) is nowadays widely used to support decision makers in system analysi...
Hospitals are huge and complex systems. However, for many years, the management was commonly focused...
Thesis (Ph.D.)--University of Washington, 2016-08Healthcare systems have attracted the attention of ...
A new approach towards the design of optimal multiple drug experimental cancer chemotherapy is prese...