Titlebook: Biologically Inspired Algorithms for Financial Modelling; Anthony Brabazon,Michael O’Neill Book 2006 Springer-Verlag Berlin Heidelberg 200

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978-3-642-06573-6Springer-Verlag Berlin Heidelberg 2006

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https://doi.org/10.1007/978-3-030-53258-1were examined, namely genetic algorithms, differential evolution and genetic programming. Following two examples of how EAs can be applied for financial prediction purposes, we outlined some of the more recent developments in EC. Our presentation of evolutionary computation continues in Chap. 4 with

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Michelle D. Brock,David R. Wintertion are observed and copied by other members of the population. Of course, these learning mechanisms abound in business and other social settings. Good business strategies, good product designs, and good theories stimulate imitation and subsequent adaptation. Particle swarm algorithms have proven t

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Anthony Brabazon,Michael O’NeillApplies biologically inspired algorithms (BIAs) to financial modeling.Shows how financial modeling benefits from techniques developed for biological studies: neural networks, evolutionary computing, p

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Natural Computing Serieshttp://image.papertrans.cn/b/image/187507.jpg

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1619-7127 ological studies: neural networks, evolutionary computing, p.Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling...In a detailed introduction, the authors e