<p>After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. <STRONG>Genetic Algorithms and Genetic Programming in Computational Finance</STRONG> is a pioneering volume devoted entirely to a systematic and comprehensive
Genetic Algorithm Programming Environments
โ Scribed by Jose R., Cesare A., Philip T.
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- English
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No coin nor oath required. For personal study only.
โฆ Synopsis
Paper, 35 p, Department of Computer Science โ University College London.
Interest in Genetic algorithms is expanding rapidly. This paper reviews software environments for programming Genetic Algorithms (GAs). As background, we initially preview genetic algorithms' models and their programming. Next we classify GA software environments into three main
categories: Application-oriented, Algorithm-oriented and Tool-Kits. For each category of GA programming environment we review their common features and present a case study of a leading environment.
โฆ Subjects
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