Importance of the first design matrix in experimental simplex optimization

• The basic and modified simplex methods are efficient optimization techniques applied in many fields of chemistry and engineering. Various first design matrices were evaluated on polynomial models with added noise. D-optimal linear design matrices performed better than regular or cornered first simplices in the normal experimental situation. These findings have been implemented in a new experimental design an optimization software, the MultiSimplex(R).

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Miljövetenskap (hsv//swe)

NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Environmental Sciences (hsv//eng)

Keyword

Chemistry

Chemical engineering

Simplex optimization

Reflections

Environmental chemistry

Miljökemi

Environmental Chemistry

Miljökemi

Publication and Content Type

ref (subject category)

art (subject category)