Using an adaptive genetic algorithm with reversals to find good second-order multiple recursive random number generators

DOI10.1007/s001860200237zbMath1020.65007OpenAlexW1989020719MaRDI QIDQ1395143

Huey-Chin Tang

Publication date: 26 June 2003

Published in: Mathematical Methods of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s001860200237

zbMATH Keywords

numerical experimentsgenetic algorithmrandom number generationstatisticsmultiple recursive generatorcomparisons of methods

Mathematics Subject Classification ID

Random number generation in numerical analysis (65C10)

Related Items (2)

On initial populations of a genetic algorithm for continuous optimization problems ⋮ Theoretical analyses of forward and backward heuristics of multiple recursive random number generators

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