Title: Goal programming model for predicting the parameters involved in growth of cancer cells

Authors: J. Jayabharathiraj

Addresses: Department of Statistics, Pondicherry University, RV Nagar, Kalapet, Puducherry, India

Abstract: Some nonlinear goal programming problems are formulated for predicting the decision parameters involved in the cancer and related cell growths such growth rate of normal and malignant cells, death rate of normal and malignant cells and mutation rate of normal cells. An application of preemptive and non-preemptive goal programming problem, some optimisation programming problems are constructed using the statistical moments derived from two state cancer cell growths model and solved using the optimisation LINGO software.

Keywords: goal programming problem; GPP; birth and death processes; cancer cell growths.

DOI: 10.1504/IJOR.2019.098316

International Journal of Operational Research, 2019 Vol.34 No.3, pp.450 - 465

Received: 07 Sep 2015
Accepted: 24 Apr 2016
Published online: 14 Mar 2019 *

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