NDLI: An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies

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Issue 1, January 2007

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 3

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 2

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 1

An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies

Content Provider	ACM Digital Library
Author	Neri, Ferrante Cascella, Giuseppe Leonardo Toivanen, Jari Ong, Yew-Soon
Abstract	This paper proposes a period representation for modeling the multidrug HIV therapies and an Adaptive Multimeme Algorithm (AMmA) for designing the optimal therapy. The period representation offers benefits in terms of flexibility and reduction in dimensionality compared to the binary representation. The AMmA is a memetic algorithm which employs a list of three local searchers adaptively activated by an evolutionary framework. These local searchers, having different features according to the exploration logic and the pivot rule, have the role of exploring the decision space from different and complementary perspectives and, thus, assisting the standard evolutionary operators in the optimization process. Furthermore, the AMmA makes use of an adaptation which dynamically sets the algorithmic parameters in order to prevent stagnation and premature convergence. The numerical results demonstrate that the application of the proposed algorithm leads to very efficient medication schedules which quickly stimulate a strong immune response to HIV. The earlier termination of the medication schedule leads to lesser unpleasant side effects for the patient due to strong antiretroviral therapy. A numerical comparison shows that the AMmA is more efficient than three popular metaheuristics. Finally, a statistical test based on the calculation of the tolerance interval confirms the superiority of the AMmA compared to the other methods for the problem under study.
Starting Page	264
Ending Page	278
Page Count	15
File Format	PDF
ISSN	15455963
DOI	10.1109/TCBB.2007.070202
Volume Number	4
Issue Number	2
Journal	IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-04-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	HIV therapy design, memetic algorithms, adaptive algorithms, nonlinear integer programming.
Content Type	Text
Resource Type	Article
Subject	Genetics Biotechnology Applied Mathematics

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