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A hybrid differential evolution-gradient optimization method

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (2015) 9119 379-388
DOI: 10.1007/978-3-319-19324-3_35
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Abstract

In this paper a new three level, hybrid optimization method is proposed. Differential evolution is hybridized with traditonal gradient optimization. Some ideas from simulated annealing are also employed. Usefulness of the proposed method is supported by numerical simulations.

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Rafajłowicz, W. (2015). A hybrid differential evolution-gradient optimization method. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 9119, pp. 379–388). Springer Verlag. https://doi.org/10.1007/978-3-319-19324-3_35

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