Smart problem solving environment for medical decision support

Authors:
Andrei Petrovski;John McCall
Affiliations:
The Robert Gordon University, Aberdeen, Scotland;The Robert Gordon University, Aberdeen, Scotland
Venue:
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Year:
2005

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Abstract

This paper presents a medical problem solving environment (PSE) designed for modelling, simulation, and optimisation of clinical cancer chemotherapy. In order to find optimal chemotherapeutic treatments, two population-based evolutionary algorithms -- Genetic Algorithms and Particle Swarm Optimisation -- have been applied, which can use web services and grid computing to evaluate potential solutions in a distributed and customizable manner. The versatility and robustness of these algorithms make the suggested problem solving environment scalable and adaptable to other problem domains.