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. |
