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Titlebook: Natural Computing in Computational Finance; Volume 2 Anthony Brabazon,Michael O’Neill Book 2009 Springer-Verlag Berlin Heidelberg 2009 Comp

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书目名称Natural Computing in Computational Finance
副标题Volume 2
编辑Anthony Brabazon,Michael O’Neill
视频video
概述reports recent research results Computation Intelligence in Finance.Includes supplementary material:
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Natural Computing in Computational Finance; Volume 2 Anthony Brabazon,Michael O’Neill Book 2009 Springer-Verlag Berlin Heidelberg 2009 Comp
描述.Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems...This book follows on from .Natural Computing in Computational Finance. (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007..
出版日期Book 2009
关键词Computational Finance; Computational Intelligence; Evolution; Natural Computing; Simulation; agent-based
版次1
doihttps://doi.org/10.1007/978-3-540-95974-8
isbn_softcover978-3-642-10112-0
isbn_ebook978-3-540-95974-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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1860-949X application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechani
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Income Distribution and Lottery Expenditures in Taiwan: An Analysis Based on Agent-Based Simulationncomes, based on household income data in Taiwan from 1979 to 2003. The simulation results indicated that the impact of income distribution on lottery sales is not significant. This might be due to the Taiwan economy having a minor degree of income variation which has a low effect on lottery expenditures.
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The Emergence of a Market: What Efforts Can Entrepreneurs Make?mic co-evolution at the individual level. The results indicate that the process of market creation is significantly impacted by factors including exploration tendency, alertness, and participant prior knowledge.
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Classical and Agent-Based Evolutionary Algorithms for Investment Strategies Generationried out with the use of real-life stock data. The conclusions drawn from the results of experiments are such that co-evolutionary and agent-based co-evolutionary techniques better maintain population diversity and generate more general investment strategies than evolutionary algorithms.
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