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Michael Tetteh, Allan de Lima, Jack McEllin, Aidan Murphy, Douglas Mota Dias and Conor Ryan
Grammatical Evolution is a Genetic Programming variant which evolves problems in any arbitrary language that is BNF compliant. Since its inception, Grammatical Evolution has been used to solve real-world problems in different domains such as bio-informat...
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Gauri Vaidya, Meghana Kshirsagar and Conor Ryan
Neural networks have revolutionised the way we approach problem solving across multiple domains; however, their effective design and efficient use of computational resources is still a challenging task. One of the most important factors influencing this ...
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Víctor de la Fuente Castillo, Alberto Díaz-Álvarez, Miguel-Ángel Manso-Callejo and Francisco Serradilla García
This system can be applied to automatically design the architecture of deep artificial neural networks for any given labeled dataset.
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Klaus Solberg Söilen
even military classics (Jiang Ziya, the methods of theSima, Sun Tzu, Wu Qi, Wei Liaozi, the three strategies of Huang Shigong and the Questions and Repliesbetween Tang Taizong and Li Weigong). The entities studied then were nation states. Later, corporat...
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klaus Solberg Söilen
It is often heard, and even more often seen written, for example on social media, that that there is nothing new in the competitive intelligence (CI) field. There are no new ideas, the ideas that are being expressed are the same old, there is no developm...
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