Paper Info
Title
Optimization of combination chemotherapy with dose adjustment using a memetic algorithm.
Abstract
The problem with optimizing cancer chemotherapy has often been formulated as optimal control models, which can be intractable. Such difficulty is compounded by the facts that chemotherapeutic drugs with different mechanisms of action are often used together and that dose adjustments are often warranted according to therapeutic responses in clinical practice. Against this background, this paper addresses the problem of combination chemotherapy with dose adjustment. We first construct a mathematical model of the problem by introducing two cell-cycle phase-specific chemotherapeutic drugs into a mono-chemotherapy model. Next, we design a memetic algorithm (MA) allowing dose adjustments to solve the problem. Finally, we compare the proposed MA with existing algorithms, investigate the efficacies of different treatment strategies, and identify the characteristics of the problem related to the quality of the solutions.
Year
DOI
Venue
2018
10.1016/j.ins.2017.12.002
Information Sciences
Keywords
Field
DocType
Combination chemotherapy,Dose adjustment,Drug specificity,Memetic algorithm
Memetic algorithm,Optimal control,Cancer chemotherapy,Clinical Practice,Artificial intelligence,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
432
0020-0255
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Peilian Wang100.68
Ran Liu2417.64
Z. B. Jiang324236.08