A new measure of irregularity of distribution and quasi-Monte Carlo methods for global optimization

DOI10.1016/S0898-1221(01)00311-XzbMath1017.65060MaRDI QIDQ1609128

Xiaoqun Wang

Publication date: 15 August 2002

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

zbMATH Keywords

global optimizationdispersiondiscrepancyquasi-Monte Carlo methodsmeasures of irregularity of distribution

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Monte Carlo methods (65C05) Stochastic programming (90C15)

Related Items (1)

Quasi-random initial population for genetic algorithms

Cites Work

• On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
• When are quasi-Monte Carlo algorithms efficient for high dimensional integrals?
• On the crude multidimensional search
• Improving the rejection sampling method in quasi-Monte Carlo methods
• Discrépance de suites associées à un système de numération (en dimension s)
• On the distribution of points in a cube and the approximate evaluation of integrals
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