A combined differential evolution and NSGA-II approach for parametric optimization of a cancer immunotherapy model

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publication2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings
PublisherIEEE
ISBN (Electronic)9781538627259, 9781538627266
ISBN (Print)9781538627273, 9781538640586
Publication statusPublished - Dec 2017

Conference

Title2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017)
LocationHilton Hawaiian Village Waikiki Resort
PlaceUnited States
CityHonolulu, Hawaii
Period27 November - 1 December 2017

Abstract

According to the clinical results from Manrique et. al. [1], a breast cancer immunotherapy model is established. The model is established based on biological principles and limited clinical results [1] for replications and prognostics of therapeutic effects. A single objective parametric optimization problem is formulated to find appropriate parameter values with biological meanings. Several constraints are formulated to satisfy both the disease progression without treatments and bio-system stability and equilibrium. To solve this parametric optimization problem with constraints automatically, the ϵ-DE+NSGA-II algorithm is proposed. The constraint violation is the second objective to be optimized in NSGA-II. The proposed ϵ-DE+NSGA-II can find the optimal parameters of the cancer immunotherapy model. The cancer immunotherapy model with the optimized parameters can not only replicate the clinical results from [1], but also provide prognostic outcomes for tumor rejection under various drug delivery schedules.

Citation Format(s)

A combined differential evolution and NSGA-II approach for parametric optimization of a cancer immunotherapy model. / Xu, Weinan; Xu, Jianxin; He, Danhua; Tan, Kay Chen.

2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE, 2017.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review