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Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem.

, , , , and . GECCO (Companion), page 1031-1034. ACM, (2016)

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Parallelization of a Modified Firefly Algorithm using GPU for Variable Selection in a Multivariate Calibration Problem., , , , , and . Int. J. Nat. Comput. Res., 4 (1): 31-42 (2014)Variable selection as a non-completely decomposable problem: a case study in multivariate calibration., , , and . GECCO (Companion), page 1399-1402. ACM, (2017)Feature Selection using Genetic Algorithm: An Analysis of the Bias-Property for One-Point Crossover., , , and . GECCO (Companion), page 1461-1462. ACM, (2016)Epistasis-based FSA: Two versions of a novel approach for variable selection in multivariate calibration., , , , , and . Eng. Appl. Artif. Intell., (2019)Integer-based genetic algorithm for feature selection in multivariate calibration., , , , , and . CEC, page 2315-2320. IEEE, (2017)A compact firefly algorithm for the variable selection problem in pharmaceutical ingredient determination., , , , and . CEC, page 3832-3838. IEEE, (2016)Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem., , , , and . GECCO (Companion), page 1031-1034. ACM, (2016)