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Multi-objective Optimisation of Cancer Chemotherapy using Smart PSO with Decomposition

Al Moubayed, N; Petrovski, A; McCall, J


A Petrovski

J McCall


The paper presents a novel approach to optimising cancer chemotherapy with respect to conflicting treatment objectives aimed at reducing the number of cancerous cells and at limiting the amounts of anti-cancer drugs used. The approach is based on the Particle Swarm Optimisation (PSO) algorithm that decomposes a multi-objective optimisation problem into several scalar aggregation problems, thereby reducing its complexity and enabling an effective application of Computational Intelligence techniques. The novelty of the algorithm is in providing particles in the swarm with information from a set of defined neighbours and leaders that assists in finding versatile chemotherapeutic treatments.


Al Moubayed, N., Petrovski, A., & McCall, J. (2011). Multi-objective Optimisation of Cancer Chemotherapy using Smart PSO with Decomposition. .

Conference Name 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MDCM)
Conference Location Paris, France
Start Date Apr 11, 2011
End Date Apr 15, 2011
Online Publication Date Jul 11, 2011
Publication Date 2011
Deposit Date Jan 26, 2016
Publisher Institute of Electrical and Electronics Engineers
Pages 81 - 88
ISBN 978-1-61284-068-0
Public URL