An Evolutionary Computing Approach to Robust Design in the Presence of Uncertainties

Chan, Ricky; Sudhoff, Scott D.

doi:10.1109/tevc.2010.2046666

Cited by 24 publications

(11 citation statements)

References 21 publications

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“…To find the best match, a genetic algorithm [13] with Conjugate Gradient Method [14] was implemented. In the first phase, the algorithm finds a rough estimation of the parameters by modifying the values in P k matrix (within given boundaries), and then solution error is further minimized by Conjugate Gradient Method.…”

Section: Resultsmentioning

confidence: 99%

Application of Electron Paramagnetic Resonance Spectroscopy to Comparative Examination of Different Groups of Free Radicals in Thermal Injuries Treated with Propolis and Silver Sulphadiazine

Olczyk

Ramos

Bernaś

et al. 2013

Evidence-Based Complementary and Alternative Medicine

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Different groups of free radicals expressed in burn wounds treated with propolis and silver sulphadiazine were examined. The thermal effect forms major types of free radicals in a wound because of the breaking of chemical bonds. Free radicals, located in the heated skin, were tested after 21 days of treating by these two substances. The aim of this work was to find the method for determination of types and concentrations of different groups of free radicals in wound after high temperature impact during burning. The effects of the therapy by propolis and silver sulphadiazine on free radicals were studied. Since the chemical methods of free radicals studies are destructive, the usefulness of the electron paramagnetic resonance spectroscopy was tested in this work. The electron paramagnetic resonance spectra measured with the microwave power of 2.2 mW were numerically fitted by theoretical curves of Gaussian and Lorentzian shapes. The experimental electron paramagnetic resonance spectra of tissue samples are best fitted by the sum of one Gauss and two Lorentz lines. An innovatory numerical procedure of spectroscopic skin analysis was presented. It is very useful in the alternative medicine studies.

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Section: Resultsmentioning

confidence: 99%

Application of Electron Paramagnetic Resonance Spectroscopy to Comparative Examination of Different Groups of Free Radicals in Thermal Injuries Treated with Propolis and Silver Sulphadiazine

Olczyk

Ramos

Bernaś

et al. 2013

Evidence-Based Complementary and Alternative Medicine

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“…The p ij parameters were grouped as a P i matrix:

\begin{matrix} P_{k} = [\begin{matrix} p_{normal11} & p_{normal21} & p_{normal31} \\ p_{normal12} & p_{normal22} & p_{normal32} \\ p_{normal13} & p_{normal23} & p_{normal33} \end{matrix}], k \in N . \end{matrix}

The best fit was found by minimizing the difference between the real function f r and f p function modifying the P i matrix for given i value and Gaussian/Lorentz functions:

\begin{matrix} \min_{k} (\sum_{x = normal1}^{N} {[f_{r} (x) - f_{p} (x, P_{k})]}^{2}) . \end{matrix}

Boundary values were defined as for p j 1 , j = 1 ⋯ i parameters; the maximal signal value multiplied by a number of functions was defined for p j 2 , j = 1 ⋯ i parameters, which defines the position of function centers and should not exceed the analyzed interval (−5, 5) and p j 3 , j = 1 ⋯ i parameters to (0, 30) according to Gaussian and Lorentz functions requirements. To find the best match, the genetic algorithm [14] with Conjugate Gradient Method [15] was implemented. In the first phase, the algorithm finds a rough estimation of the parameters by modifying the values in P i matrix within given boundaries and then, for best 10 solutions, the Conjugate Gradient Method is executed to minimize the solution error.…”

Section: Methodsmentioning

confidence: 99%

“…The crossover is performed by a simple averaging of two samples. The probability of moving to the next epoch is based on the fitness function proposed by Chan and Sudhoff [14]. …”

Section: Methodsmentioning

confidence: 99%

Microwave Saturation of Complex EPR Spectra and Free Radicals of Burnt Skin Treated with Apitherapeutic Agent

Olczyk

Ramos

Bernaś

et al. 2013

Evidence-Based Complementary and Alternative Medicine

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The effect of microwave power on the complex electron paramagnetic resonance spectra of the burn matrix after the therapy with propolis was examined. The spectra were measured with microwaves in the range of 2.2–79 mW. Three groups of free radicals were found in the damaged skin samples. Their spectral lines evolve differently with the microwave power. In order to detect these free radical groups, the lineshape of the spectra was numerically analysed. The spectra were a superposition of three component lines. The best fit was obtained for the deconvolution of the experimental spectra into one Gauss and two Lorentz lines. The microwave power changes also the lineshape of the spectra of thermally injured skin treated with the conventional agent—silver sulphadiazine. The spectral changes were different for propolis and for silver sulphadiazine. The number of individual groups of free radicals in the wound bed after implementation of these two substances is not equal. It may be explained by a higher activity of propolis than of silver sulphadiazine as therapeutic agents.

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“…It is very likely that the data is ill-distributed, imbalanced [57], incomplete [58], [59], and is contaminated by noise [60], [61]. In some cases, search for robust optimal solutions will be of great practical significance [62], [63].…”

Section: Challengesmentioning

confidence: 99%

Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System

Wang

Jin

Jansen

2016

IEEE Trans. Evol. Computat.

214

102

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Abstract-Most existing work on evolutionary optimization assumes that there are analytic functions for evaluating the objectives and constraints. In the real-world, however, the objective or constraint values of many optimization problems can be evaluated solely based on data and solving such optimization problems is often known as data-driven optimization. In this paper, we divide data-driven optimization problems into two categories, i.e., off-line and on-line data-driven optimization, and discuss the main challenges involved therein. An evolutionary algorithm is then presented to optimize the design of a trauma system, which is a typical off-line data-driven multi-objective optimization problem, where the objectives and constraints can be evaluated using incidents only. As each single function evaluation involves large amount of patient data, we develop a multi-fidelity surrogate management strategy to reduce the computation time of the evolutionary optimization. The main idea is to adaptively tune the approximation fidelity by clustering the original data into different numbers of clusters and a regression model is constructed to estimate the required minimum fidelity. Experimental results show that the proposed algorithm is able to save up to 90% of computation time without much sacrifice of the solution quality.

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An Evolutionary Computing Approach to Robust Design in the Presence of Uncertainties

Cited by 24 publications

References 21 publications

Application of Electron Paramagnetic Resonance Spectroscopy to Comparative Examination of Different Groups of Free Radicals in Thermal Injuries Treated with Propolis and Silver Sulphadiazine

Application of Electron Paramagnetic Resonance Spectroscopy to Comparative Examination of Different Groups of Free Radicals in Thermal Injuries Treated with Propolis and Silver Sulphadiazine

Microwave Saturation of Complex EPR Spectra and Free Radicals of Burnt Skin Treated with Apitherapeutic Agent

Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System

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