Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
نویسندگان
چکیده
Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these drugs. Some methods of computational optimisation, Genetic Algorithms in particular, have proven to be useful in helping to strike the right balance. The purpose of this paper is to study how an alternative optimisation method Particle Swarm Optimisation can be used to facilitate finding optimal chemotherapeutic treatments, and to compare its performance with that of Genetic Algorithms.
منابع مشابه
Information Sharing Impact of Stochastic Diffusion Search on Population-Based Algorithms Mohammad Majid Oudah al-Rifaie – [scale=0.1]0homemDropboxGoldReportLyxThesisLogo.png– Thesis submitted for the degree of Doctor of Philosophy of the University of London Department of Computing, Goldsmiths College January 2012
This work introduces a generalised hybridisation strategy which utilises the information sharing mechanism deployed in Stochastic Di usion Search when applied to a number of population-based algorithms, e ectively merging this nature-inspired algorithm with some population-based algorithms. The results reported herein demonstrate that the hybrid algorithm, exploiting information-sharing within ...
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