Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms

The main objectives of cancer treatment in general, and of cancer chemotherapy in particular, are to eradicate the tumour and to prolong the patient survival time. Traditionally, treatments are optimised with only one objective in mind. As a result of this, a particular patient may be treated in the wrong way if the decision about the most appropriate treatment objective was inadequate. To partially alleviate this problem, we show in this paper how the multi-objective approach to chemotherapy optimisation can be used. This approach provides the oncologist with versatile treatment strategies that can be applied in ambiguous cases. However, the conflicting nature of treatment objectives and the non-linearity of some of the constraints imposed on treatment schedules make it difficult to utilise traditional methods of multiobjective optimisation. Evolutionary Algorithms (EA), on the other hand, are often seen as the most suitable method for tackling the problems exhibiting such characteris...

• Type: Conference
• Year: 2001
• Where: EMO
• Authors: Andrei Petrovski, John A. W. McCall
• Keywords: Appropriate Treatment Objective, EMO 2001, Optimization, Patient Survival Time, Treatment Objectives