This paper presents a multi-objective optimisation model and algorithms for scheduling of radiotherapy treatments for categorised cancer patients. The model is developed considerin...
Dobrila Petrovic, Mohammad Morshed, Sanja Petrovic
Axelrod’s original experiments for evolving IPD player strategies involved the use of a basic GA. In this paper we examine how well a simple GA performs against the more recent P...
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
This paper aims to identify the missing links from theory of Genetic Algorithms (GAs) to application of GAs. Categories and Subject Descriptors: J.0 [Computer Applications]: Gener...
Abstract. Genetic algorithms have been a standard technique for engineers optimising water distribution networks for some time. However in recent years there has been an increasing...