A Monte Carlo simulated annealing approach to optimization over continuous variables (Q800694)
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scientific article; zbMATH DE number 3878263
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A Monte Carlo simulated annealing approach to optimization over continuous variables |
scientific article; zbMATH DE number 3878263 |
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A Monte Carlo simulated annealing approach to optimization over continuous variables (English)
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1984
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Numerical optimization methods based on thermodynamic concepts are extended to the case of continuous multidimensional parameter spaces. Techniques which allow this strategy to be implemented efficiently and reliably, including a self-regulatory mechanism for choosing the random step distribution, are described. The method is applied to a set of standard global minimization problems, and to a typical non-linear least- squares functional fitting problem.
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combinatorial optimization
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thermodynamic concepts
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random step distribution
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global minimization
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non-linear least-squares functional fitting problem
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