Iterative optimization RCO: A "Ruler & Compass" deterministic method - Archive ouverte HAL
Pré-Publication, Document De Travail (Preprint/Prepublication) Année : 2024

Iterative optimization RCO: A "Ruler & Compass" deterministic method

Résumé

We present here the basic version of an iterative optimization algorithm that is deterministic, needs just one parameter, and often capable of finding a good solution after very few evaluations of the fitness function. We explain its principles using a multimodal one-dimensional problem. For such problems, it could be applied using nothing more than a ruler and a compass. We provide classical examples illustrating the algorithm’s properties, as well examples where it fails. As this version does not address possible stagnation, it is really only useful for low-dimensional problems (typically at most ten), where each evaluation of a position in the search space is very costly in terms of computational resources.
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hal-04530935 , version 1 (04-04-2024)
hal-04530935 , version 2 (28-09-2024)

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Maurice Clerc. Iterative optimization RCO: A "Ruler & Compass" deterministic method. 2024. ⟨hal-04530935v2⟩

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