Abstract-- In this paper we present a new version of a GPbased financial forecasting tool called EDDIE. The novelty of this new version (EDDIE 8), is its enlarged search space, whe...
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Abstract—A key parameter affecting the operation of differential evolution (DE) is the crossover rate Cr ∈ [0, 1]. While very low values are recommended for and used with separ...
We have previously investigated the use of artificial neural networks to ride simulated motorbikes in a new computer game. These artificial neural networks were trained using two d...
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...