Nested Partitions Method for Stochastic Optimization

By Leyuan Shi, Sigurdur O´lafsson. 2000

153 citations recorded by the source corpus.

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A Review of Random Search Methods (2015, methodology): “Shi and Ólafsson [73] present a nested partitions method for simulation optimization.”
Simulation optimization: a review of algorithms and applications (2014, methodology): “Random search methods include techniques such as simulated annealing (e.g., [3]), genetic algorithms, stochastic ruler methods (e.g., [208]), stochastic comparison (e.g., [75]), nested partitions (e.g., [182]), ant colony optimization (e.g., [52, 51]), and tabu search (e.g., [71]).”
Nested Partitions Method for Global Optimization (2000, methodology): “In Shi and Olafsson (1998) the NP method is modi+ed to address this problem, and it is shown that the sequence of most promising regions { (k))}k=0 is a Markov chain, as before.”
Selecting the best system when systems are revealed sequentially (2007, methodology): “Optimization algorithms, e.g., the simulated annealing algorithm of Alrefaei and Andrad ´ ottir (1999), the nest partitions algorithm of Shi and ´ Olafsson (2000) ,”