Immune network memory: An inventory approach

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Abstract

A multi-product model for the Idiotypic Network is presented under a novel antibody-inventory approach for optimal immune-memory regulation. Optimal inventory analysis and applied computational results are presented for the involved nonlinear probabilistic system. Applications in relevant industrial systems subjected to random market competitions are discussed using examples.

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This research was supported by a project-grant from the Indian National Science Academy.

Rajani R. Joshi is Associate Professor in the Department of Mathematics and School of Biomedical Engineering, Indian Institute of Technology, Bombay. She has a Ph.D. degree from I.I.T. Bombay and a Doctorate from Univ. de Tech. de Compiegne, France. Her research interests include probabilistic optimization and information processing in biomolecular systems, heuristic algorithms and machine learning. Her research work is published in Acta Biotheoretica, Bulletin of Mathematical Biology, Computers and Mathematical Modelling, Computer and Mathematics with Applications, European Journal of O.R., Information Sciences and the Journal of Theoretical Biology.

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