Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem - researchr publication authors

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Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama. Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem. In Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, editors, Evolutionary Computation in Dynamic and Uncertain Environments. Volume 51 of Studies in Computational Intelligence, pages 417-434, Springer, 2007. [doi]

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