Stochastic global optimization methods. II: Multi level methods.(English)Zbl 0634.90067
Summary: [For part I see the preceding review.]
Two stochastic methods for global optimization are described that, with probability 1, find all relevant local minima of the objective function with the smallest possible number of local searches. The computational performance of these methods is examined both analytically and empirically.
Two stochastic methods for global optimization are described that, with probability 1, find all relevant local minima of the objective function with the smallest possible number of local searches. The computational performance of these methods is examined both analytically and empirically.
Citations:
Zbl 0534.90066Cite
References:
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