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- Q3354463 subject Q6426361.
- Q3354463 subject Q7153685.
- Q3354463 abstract "Random optimization (RO) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized and RO can hence be used on functions that are not continuous or differentiable. Such optimization methods are also known as direct-search, derivative-free, or black-box methods.The name, random optimization, is attributed to Matyas who made an early presentation of RO along with basic mathematical analysis. RO works by iteratively moving to better positions in the search-space which are sampled using e.g. a normal distribution surrounding the current position.".
- Q3354463 wikiPageWikiLink Q133871.
- Q3354463 wikiPageWikiLink Q141495.
- Q3354463 wikiPageWikiLink Q170058.
- Q3354463 wikiPageWikiLink Q173582.
- Q3354463 wikiPageWikiLink Q1747770.
- Q3354463 wikiPageWikiLink Q177239.
- Q3354463 wikiPageWikiLink Q200726.
- Q3354463 wikiPageWikiLink Q22808481.
- Q3354463 wikiPageWikiLink Q274506.
- Q3354463 wikiPageWikiLink Q2896771.
- Q3354463 wikiPageWikiLink Q2912857.
- Q3354463 wikiPageWikiLink Q4291856.
- Q3354463 wikiPageWikiLink Q4925641.
- Q3354463 wikiPageWikiLink Q6426361.
- Q3354463 wikiPageWikiLink Q6706076.
- Q3354463 wikiPageWikiLink Q7153685.
- Q3354463 wikiPageWikiLink Q783507.
- Q3354463 comment "Random optimization (RO) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized and RO can hence be used on functions that are not continuous or differentiable. Such optimization methods are also known as direct-search, derivative-free, or black-box methods.The name, random optimization, is attributed to Matyas who made an early presentation of RO along with basic mathematical analysis.".
- Q3354463 label "Random optimization".