Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
Abstract— This paper describes the generation of fuzzy signatures to detect some cyber attacks. This approach is an enhancement to our previous work, which was based on the princ...
In this paper we present a genetic algorithm-based approach towards designing self-assembling objects comprised of square smart blocks. Each edge of each block can have one of thr...
Ying Guo, Geoff Poulton, Philip Valencia, Geoff Ja...
In this paper we present a prediction process of the Stock Exchange of Thailand index using adaptive evolution strategies. The prediction process does not require the knowledge of...
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...