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AMC
2008

Stopping rules for box-constrained stochastic global optimization

13 years 10 months ago
Stopping rules for box-constrained stochastic global optimization
We present three new stopping rules for Multistart based methods. The first uses a device that enables the determination of the coverage of the bounded search domain. The second is based on the comparison of asymptotic expectation values of observable quantities to the actually measured ones. The third offers a probabilistic estimate for the number of local minima inside the search domain. Their performance is tested and compared to that of other widely used rules on a host of test problems in the framework of Multistart.
Isaac E. Lagaris, Ioannis G. Tsoulos
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2008
Where AMC
Authors Isaac E. Lagaris, Ioannis G. Tsoulos
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