Evaluations of an algorithm for large multivariate optimization

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2 Scopus citations


Many simulation-driven engineering and scientific problems require finding an optimum of a function with many variables. Such settings pose a challenge for standard algorithms due to the large search space which in turn can lead to poor final results. Therefore this paper proposes a new simplified approach in which the dimension of the problem is dynamically reduced during the search to formulate a problem of lower size (dimension) which is easier to solve. A main novelty of the algorithm is its simplicity. Numerical experiments show the potential of this approach.

Original languageEnglish
Article number012026
JournalJournal of Physics: Conference Series
Issue number1
StatePublished - 9 Nov 2021
Event2021 4th International Conference on Applied Mathematics, Modeling and Simulation, AMMS 2021 - Guangzhou, Virtual, China
Duration: 17 Sep 202118 Sep 2021


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