Recently, the generalization framework in co-evolutionary learning has been theoretically formulated and demonstrated in the context of game-playing. Generalization performance of...
"Much of the motivation and effort for this edition is to bring the book up to date with the Java JDK 1.4 release of the language. However, it has also become clear that most ...
The well-known Griewangk function, used for evaluation of evolutionary algorithms, becomes easier as the number of dimensions grows. This paper suggests three alternative implemen...
Abstract The growing demand for large and complex ontologies present new challenges related to their design, maintenance and evolution. In this paper, we propose an approach to man...
In this paper we discuss computational complexity and risk averse approaches to two and multistage stochastic programming problems. We argue that two stage (say linear) stochastic ...