Modified Particle Swarm Optimizer with Adaptive Dynamic Weights for Cancer Combinational Chemotherapy

Authors:
Harish Chandra Soundararajan;Jagannathan Raman;R. Muthucumaraswamy
Affiliations:
Department of Electronics and Communication Engineering,;Department of Electrical and Electronics Engineering,;Department of Information Technology, Sri Venkateswara College of Engineering Pennalur, Sriperumbudur, India 602105
Venue:
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Year:
2008

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Abstract

Cancer combinational chemotherapy is a complex treatment process that requires balancing the administration of anti-cancer drug to reduce tumor size with the adverse toxic side effects caused by these drugs. Methods of computational optimization like Genetic Algorithm (GA) and Canonical Particle Swarm Optimization (CPSO) have been used to strike the right balance. The purpose of this paper is to study how an alternative optimization technique - Modified Particle Swarm Optimizer (MPSO) - can be used for finding optimal chemotherapeutic treatments in an efficient manner. Comparison of its performance with the other existing algorithms of MPSO has been shown.