Pure adaptive search in Monte Carlo optimization
Mathematical Programming: Series A and B
Estimation of parameter bounds from bounded-error data: a survey
Mathematics and Computers in Simulation - Parameter identifications with error bound
Pure adaptive search in global optimization
Mathematical Programming: Series A and B
Hesitant adaptive search for global optimisation
Mathematical Programming: Series A and B
New reflection generator for simulated annealing in mixed-integer/continuous global optimization
Journal of Optimization Theory and Applications
On success rates for controlled random search
Journal of Global Optimization
On the Investigation of Stochastic Global Optimization Algorithms
Journal of Global Optimization
Random search optimization approach for highly multi-modal nonlinear problems
Advances in Engineering Software
Journal of Global Optimization
Random search optimization approach for highly multi-modal nonlinear problems
Advances in Engineering Software
Environmental Modelling & Software
A hybrid method for quantum global optimization
Journal of Global Optimization
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The problem of generating a random sample over a level set, called Uniform Covering, is considered. A variant is discussed of an algorithm known as Pure Adaptive Search which is a global optimisation ideal with a desirable complexity. The algorithm of Uniform Covering by Probabilistic Rejection is discussed as an approach to the practical realisation of PAS. Consequences for the complexity and practical performance in comparison to other algorithms are illustrated.