Article ID Journal Published Year Pages File Type
4633101 Applied Mathematics and Computation 2009 14 Pages PDF
Abstract
A stochastic global optimization method based on Multistart is presented. In this, the local search is conditionally applied with a probability that takes in account the topology of the objective function at the detail offered by the current status of exploration. As a result, the number of unnecessary local searches is drastically limited, yielding an efficient method. Results of its application on a set of common test functions are reported, along with a performance comparison against other established methods of similar nature.
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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