Review of multidimensional optimization methods

Zakharova, E. M.; Minashina, I. K.

doi:10.1134/s1064226915060194

Cited by 8 publications

(6 citation statements)

References 1 publication

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“…To solve this optimization problem, we use a zero-order (gradient-free) optimization method. Reviews in Zakharova and Minashina (Zakharova and Minashina 2015) introduce some widely used zero-order methods to solve the multidimensional optimization problem, including coordinate descent, simplex search, and Hooke-Jeeves ones. However, these methods only enable us to approach the locally optimal solutions from initial guesses.…”

Section: Anf Parameter Tuning Procedures and Methodsmentioning

confidence: 99%

Actigraphy-based parameter tuning process for adaptive notch filter and circadian phase shift estimation

Yin

Julius

Wen

et al. 2020

Chronobiology International

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We report herein the application of an adaptive notch filter (ANF) algorithm to minute-by-minute actigraphy data to estimate the continuous circadian phase of eight healthy adults. As the adaptation rates and damping factor of the ANF algorithm have large impacts on the ANF states and circadian phase estimation results, we propose a method for optimizing these parameters. The ANF with optimal parameters is further used to estimate the circadian phase shift from the actigraphy data. Dim light melatonin onset (DLMO), considered the "gold standard" method for identification of circadian phase, was determined by a serial collection of salivary samples analyzed for melatonin per standard protocol simultaneously with the collection of actigraphic data. We demonstrate our ANF algorithm, when applied to the actigraphy data, is able to estimate the circadian phase as determined by the DLMO. These results demonstrate that applying our ANF with a well-defined parameter tuning process to actigraphic data can provide accurate measurements of the circadian phase and its shift without resorting to salivary melatonin collections.

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Section: Anf Parameter Tuning Procedures and Methodsmentioning

confidence: 99%

Actigraphy-based parameter tuning process for adaptive notch filter and circadian phase shift estimation

Yin

Julius

Wen

et al. 2020

Chronobiology International

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“…Algorithms for optimizing systems based on multiple dimensions are often sensitive to initial conditions used (Zakharova & Minashina, 2015). Given this potential confounding effect here, we tested first the effects of the types of carbon source, nitrogen source, and pH set point on biomass accumulation, using 1x YNB without amino acids or ammonium sulfate (YNB) to satisfy minimum requirements for the concentrations of trace elements.…”

Section: Application To Developing a Medium For Biomass Accumulationmentioning

confidence: 99%

Modular development enables rapid design of media for alternative hosts

Biedermann

Gengaro

Rodriguez-Aponte

et al. 2021

Preprint

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Developing media to sustain cell growth and production is an essential and ongoing activity in bioprocess development. Modifications to media can often address host or product-specific challenges, such as low productivity or poor product quality. For other applications, systematic design of new media can facilitate the adoption of new industrially relevant alternative hosts. Despite manifold existing methods, common approaches for optimization often remain time and labor intensive. We present here a novel approach to conventional media blending that leverages stable, simple, concentrated stock solutions to enable rapid improvement of measurable phenotypes of interest. We applied this modular methodology to generate high-performing media for two phenotypes of interest: biomass accumulation and heterologous protein production, using high-throughput, milliliter-scale batch fermentations of Pichia pastoris as a model system. In addition to these examples, we also created a flexible open-source package for modular blending automation on a low-cost liquid handling system to facilitate wide use of this method. Our modular blending method enables rapid, flexible media development, requiring minimal labor investment and prior knowledge of the host organism, and should enable developing improved media for other hosts and phenotypes of interest.

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“…If the optimality criteria for the functioning of HSES or its subsystems will be the equality unit of the integral index, the coefficient of harmony, performance indicators or their combinations, the search for relevant factors of the status and impact of HSES can be reduced to a multi-objective optimization problem, whose solution can be accomplished by several methods [31][32][33][34]. The values obtained and can be recommendations for various levels of government when making informed management decisions and developing appropriate measures.…”

Section: Formalized Description Of the Approachmentioning

confidence: 99%

An approach to assessing the functioning of hierarchical socio-economic systems and decision-making based on the EFRA software package

Жуков¹

2020

Bus. Inform.

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Modern models and methods for evaluating complex systems are associated with hierarchical socioeconomic systems (HSES) implemented on the basis of software systems (expert systems and decision support systems) and used at the regional and municipal levels of government. As usual, such systems have the functionality of analytics and building scenario variants for the development of research objects. However, they do not give quantified values of the state and impact factors at which the complex system under consideration can come to a given state. At the same time, the question of determining such a set state associated with the construction of standards (expected values) for elements, classes or levels of the HSES is still open. In some cases, to make an informed decision it is sufficient to obtain aggregated quantitative estimates and recommendations concerning the further functioning of the research object. This article presents the author's approach, which allows us to evaluate the functioning of hierarchical socioeconomic systems and provides expert opinions for making management decisions implemented on the basis of the EFRA software package. The algorithm includes stages of analysis and synthesis-stages of the basic method of system analysis. The novelty of the proposed approach is the possibility of taking into account the specific conditions of the status and impact of complex systems that provides an opportunity to build their own standard. Additionally, the procedures of standardization and normalization (reduction to a scale from 0 to 1) make it possible to avoid the influence of different units of measurement of results of operation and economies of scale. On the example of regions of the Central Federal district according to data for 2014-2017, estimates of the use of information and telecommunications technologies by the population were obtained, and the optimization problem was solved for the Tula Region, on the basis of which directions related to increasing the region's readiness for digitalization were proposed.

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Review of multidimensional optimization methods

Cited by 8 publications

References 1 publication

Actigraphy-based parameter tuning process for adaptive notch filter and circadian phase shift estimation

Actigraphy-based parameter tuning process for adaptive notch filter and circadian phase shift estimation

Modular development enables rapid design of media for alternative hosts

An approach to assessing the functioning of hierarchical socio-economic systems and decision-making based on the EFRA software package

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