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Disambiguation of "Tezuka, Masaru"

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Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem.

, , , and . IEEE Congress on Evolutionary Computation, page 81-87. IEEE, (2006)

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Masaru Nagaso

 

Other publications of authors with the same name

Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem., , , and . IEEE Congress on Evolutionary Computation, page 81-87. IEEE, (2006)A genetic algorithm approach to improve production schedule, and . Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference, page 254--259. Orlando, Florida, USA, (13 July 1999)Modeling Manufacturing Resources based on Agent Model., and . ISADS, page 107-115. IEEE Computer Society, (1999)Forecasting Total Sales of High-tech Products - Daily Diffusion Models and a Genetic Algorithm., and . ICEIS (2), page 335-338. (2009)Genetic algorithm approach to design covariates of binomial logit model for estimation of default probability., , and . IEEE Congress on Evolutionary Computation, page 4344-4349. IEEE, (2007)A New Genetic Representation and Common Cluster Crossover for Job Shop Scheduling Problems., , , and . EvoWorkshops, volume 1803 of Lecture Notes in Computer Science, page 297-306. Springer, (2000)Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms., , and . GECCO (2), volume 3103 of Lecture Notes in Computer Science, page 222-233. Springer, (2004)Genetic Algorithm for Supply Planning Optimization under Uncertain Demand., and . GECCO, volume 2724 of Lecture Notes in Computer Science, page 2337-2346. Springer, (2003)Comparison of Distance Limiting Methods for Risk-aware Data Replication in Urban and Suburban Area., , , , and . J. Inf. Process., 24 (2): 381-389 (2016)Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem., , and . Evolutionary Computation in Dynamic and Uncertain Environments, volume 51 of Studies in Computational Intelligence, Springer, (2007)