Comparison of the Powell and simplex methods in the optimization of flow-injection systems. Simulation on modelled experimental surfaces and experimental optimizations

M. del Valle; M. Poch; J. Alonso; J. Bartroli

doi:10.1016/S0003-2670(00)83262-6

Comparison of the Powell and simplex methods in the optimization of flow-injection systems. Simulation on modelled experimental surfaces and experimental optimizations

M. del Valle, M. Poch, J. Alonso, J. Bartroli

Department of Chemistry

Research output: Contribution to journal › Article › Research › peer-review

23 Citations (Scopus)

Abstract

The Powell algorithm is adapted for the optimization of a flow-injection system for the spectrophotometric determination of ammonia based on the indophenol blue reaction. Its performance is compared with that of the modified simplex method in experimental optimization, and in simulation of the course along the experimental response surface, which can be modelled conveniently for this analytical system. The Powell algorithm needed fewer evaluations of the objective function (maximal sensitivity and sample throughput), thus minimizing experimental work, particularly in the initial optimization. © 1990.

Original language	English
Pages (from-to)	31-42
Journal	Analytica Chimica Acta
Volume	241
Issue number	1
DOIs	https://doi.org/10.1016/S0003-2670(00)83262-6
Publication status	Published - 1 Jan 1990

Keywords

Ammonia
Optimization

Access to Document

10.1016/S0003-2670(00)83262-6

Cite this

@article{397ba10cc83a4ca6b7c9f21709f5fcff,

title = "Comparison of the Powell and simplex methods in the optimization of flow-injection systems. Simulation on modelled experimental surfaces and experimental optimizations",

abstract = "The Powell algorithm is adapted for the optimization of a flow-injection system for the spectrophotometric determination of ammonia based on the indophenol blue reaction. Its performance is compared with that of the modified simplex method in experimental optimization, and in simulation of the course along the experimental response surface, which can be modelled conveniently for this analytical system. The Powell algorithm needed fewer evaluations of the objective function (maximal sensitivity and sample throughput), thus minimizing experimental work, particularly in the initial optimization. {\textcopyright} 1990.",

keywords = "Ammonia, Optimization",

author = "{del Valle}, M. and M. Poch and J. Alonso and J. Bartroli",

year = "1990",

month = jan,

day = "1",

doi = "10.1016/S0003-2670(00)83262-6",

language = "English",

volume = "241",

pages = "31--42",

journal = "Analytica Chimica Acta",

issn = "0003-2670",

number = "1",

}

TY - JOUR

T1 - Comparison of the Powell and simplex methods in the optimization of flow-injection systems. Simulation on modelled experimental surfaces and experimental optimizations

AU - del Valle, M.

AU - Poch, M.

AU - Alonso, J.

AU - Bartroli, J.

PY - 1990/1/1

Y1 - 1990/1/1

N2 - The Powell algorithm is adapted for the optimization of a flow-injection system for the spectrophotometric determination of ammonia based on the indophenol blue reaction. Its performance is compared with that of the modified simplex method in experimental optimization, and in simulation of the course along the experimental response surface, which can be modelled conveniently for this analytical system. The Powell algorithm needed fewer evaluations of the objective function (maximal sensitivity and sample throughput), thus minimizing experimental work, particularly in the initial optimization. © 1990.

AB - The Powell algorithm is adapted for the optimization of a flow-injection system for the spectrophotometric determination of ammonia based on the indophenol blue reaction. Its performance is compared with that of the modified simplex method in experimental optimization, and in simulation of the course along the experimental response surface, which can be modelled conveniently for this analytical system. The Powell algorithm needed fewer evaluations of the objective function (maximal sensitivity and sample throughput), thus minimizing experimental work, particularly in the initial optimization. © 1990.

KW - Ammonia

KW - Optimization

U2 - 10.1016/S0003-2670(00)83262-6

DO - 10.1016/S0003-2670(00)83262-6

M3 - Article

VL - 241

SP - 31

EP - 42

JO - Analytica Chimica Acta

JF - Analytica Chimica Acta

SN - 0003-2670

IS - 1

ER -

Comparison of the Powell and simplex methods in the optimization of flow-injection systems. Simulation on modelled experimental surfaces and experimental optimizations

Abstract

Keywords

Access to Document

Fingerprint

Cite this