Relevant bibliographies by topics / Optimizaiton

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Optimizaiton'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Optimizaiton"

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OSIPOVA, Y. L., and N. V. BULKINA. "OPTIMIZAITON OF COMPLEX THERAPY OF CHRONIC GENERALIZAED CATARRHAL GINGIVITIS." Medical Council, no. 19 (January 1, 2016): 131–33. http://dx.doi.org/10.21518/2079-701x-2016-19-131-133.

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LEE, Chen Jian Ken, Zhiqian ZHANG, and Naoki TAKANO. "Removing Void Elements for Structural Level Set Topology Optimizaiton." Journal of Computational Science and Technology 3, no. 1 (2009): 385–95. http://dx.doi.org/10.1299/jcst.3.385.

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Hino, Junichi, Shingo Takeda, and Toshio Yoshimura. "A Study of Fuzzy Programing for Optimizaiton of Beam Shapes." Transactions of the Japan Society of Mechanical Engineers Series C 59, no. 567 (1993): 3474–80. http://dx.doi.org/10.1299/kikaic.59.3474.

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NISHIZU, Takafumi, Akihiro TAKEZAWA, and Mitsuru KITAMURA. "2108 Damage detection method in structural health monitoring using topology optimizaiton." Proceedings of Design & Systems Conference 2012.22 (2012): _2108–1_—_2108–8_. http://dx.doi.org/10.1299/jsmedsd.2012.22._2108-1_.

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Ni, Yuan Ping, Xiao Fei Liu, and Hui Ye. "Studies on Predicting Distribution of Guava Fruit Fly in Yunnan Province Based on the Genetic Neural Model." Advanced Materials Research 459 (January 2012): 224–28. http://dx.doi.org/10.4028/www.scientific.net/amr.459.224.

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Based on discussing the advantages of improving genetic algorithm and analyzing the defects of back propagation neural network, we presented the genetic neural model. The simulating data proved that the genetic neural model was able to realize parallel search and could get faster searching speed during random searching optimizaiton. The model was applied to predicting distribution of guava fruit fly. The experimental results show that the model can predict distribution of the fly which is consistent with the practical distribution. The model is very useful in practice. It is worthwhile to refer the model to predicting similar insects.
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Bie, Yi Ming, Lin Hong Wang, and Zhi Yuan Liu. "A Quick Offset Optimization Method for Traffic Signal Coordination." Applied Mechanics and Materials 409-410 (September 2013): 1403–6. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.1403.

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To develop a quick offset optimization mehtod for traffic signal coordination scheme, the calculating methods for common cycle length and green split are brought forward firstly. Based on the vehicle delay model under isolated traffic control mode, the progression factor is introduced to improve the model. Then the relationship between progression factor and offset is derived. Minimizing average vehicle delay is selected as the optimization objective, the function with simple structure between the objective and offset is developed. At last, take two adjacent signalized intersections as example, the optimizaiton method is validated and the results show that the method is effective.
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YANG, Xiaoming. "OPTIMIZAITON DESIGN METHOD FOR MOTORCYCLE BRAKE HANDLING COMFORT BASED ON HAUSDORFF DISTANCE." Chinese Journal of Mechanical Engineering 42, no. 06 (2006): 170. http://dx.doi.org/10.3901/jme.2006.06.170.

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M. McGill, John, and Marybeth S. Miller. "The Formaiton of 3-Chloro-1,2,5-thiadiazoles from a-Oximidonitriles. Optimizaiton and Mechanistic Insights." HETEROCYCLES 48, no. 10 (1998): 2111. http://dx.doi.org/10.3987/com-98-8271.

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Liu, Chuan, Yi Tang, and Jian Wang. "High-Efficiency and Ultrawideband Polarization Conversion Metasurface Based on Topology and Shape Optimizaiton Design Method." Symmetry 16, no. 12 (2024): 1674. https://doi.org/10.3390/sym16121674.

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This study introduces a two-stage optimization method for designing an ultrawideband polarization conversion metasurface. By integrating topology and shape optimization techniques, the proposed method expands the design space to achieve enhanced polarization conversion bandwidth. The first stage employs genetic-algorithm-based topology optimization to establish the initial structural configuration through binary coding. Subsequently, the second stage refines the design through shape optimization by extracting and modifying the boundaries of the topology-optimized structure. The optimized design demonstrates high polarization conversion efficiency (>90%) across 4.08–14.39 GHz, yielding a relative bandwidth of 111.64%, which represents a 4.88% improvement compared to topology-only optimization. This enhancement demonstrates the effectiveness of our combined optimization method in ultrawideband polarization conversion metasurface design, offering a promising method for developing high-performance electromagnetic devices.
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Chen, Zezhong. "RESEARCH ON MULTI-PARAMETERS OPTIMIZAITON OF EXTRUSION OF IRREGULAR PROFILE WITH LARGE b/θ RATIO AND THIN WALL". Chinese Journal of Mechanical Engineering 40, № 04 (2004): 144. http://dx.doi.org/10.3901/jme.2004.04.144.

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Dissertations / Theses on the topic "Optimizaiton"

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Bilimoria, Karl D. "Singular trajectories in airplane cruise-dash optimizaiton." Diss., Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/76506.

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The problem of determining cruise-dash trajectories is examined for the case of time-fuel optimization using a linear combination of time and fuel as the performance index. These trajectories consist of a transient arc followed by a steady-state arc. For cases where the steady-state arc is flown with full throttle the associated skeletal transient trajectories are also flown with full throttle, and approach the cruise-dash points monotonically in an asymptotic fashion. When the steady-state arc is flown at an intermediate throttle setting, the transient trajectories follow a singular control law and exhibit a complex structure that is different from the full-throttle transients. Singular transients in the vicinity of singular cruise-dash points are confined to a bounded singular surface. In state-space these trajectories trace out asymptotic spirals on the singular surface as they approach the steady-state arc. If the initial operating point lies outside the singular surface, then the transient trajectories are composites consisting of a full-throttle or zero-throttle segment flown until the singular surface is met, followed by a singular segment that fairs into the cruise-dash point. Addressing the question of optimality of the steady-state arc, it was found that although steady-state cruise fails a Jacobi-type condition, steady-state cruise-dash can satisfy this condition if the emphasis on time is sufficiently large. The outcome of the Jacobi-type test appears to be connected with the eigenstructure of the linearized state-adjoint system.<br>PH. D.
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Abdelaziz, Omar Abdelaziz Ahmed. "Development of multi-scale, multi-physics, analysis capability and its application to novel heat exchanger design and optimizaiton." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9566.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2009.<br>Thesis research directed by: Dept. of Mechanical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Lewis, Patrick K. "An Optimization-Based Method of Traversing Dynamic s-Pareto Frontiers." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3486.

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The use of multiobjective optimization in identifying systems that account for changes in customer needs, operating environments, system design concepts, and analysis models over time is generally not explored. Providing solutions that anticipate, account for, and allow for these changes over time is a significant challenge to manufacturers and design engineers. Products that adapt to these changes through the addition and/or subtraction of modules can reduce production costs through product commonality, and cater to customization and adaptation. In terms of identifying sets of non-dominated designs, these changes result in the concept of dynamic Pareto frontiers, or dynamic s-Pareto frontiers when sets of system concepts are simultaneously evaluated over time. In this dissertation, a five-step optimization-based design method identifying a set of optimal adaptive product designs that satisfy the predicted changes by moving from one location on the dynamic s-Pareto frontier to another through the addition of a module and/or through reconfiguration is developed. Development of this five-step method was separated into four phases. The first two phases of developments respectively focus on Pareto and s-Pareto cases, where changes in concepts, models, and environments that would effect the Pareto/s-Pareto frontier are ignored due to limitations in traditional optimization problem formulations. To overcome these limitations, and allow for these changes, the third phase of developments presents a generic optimization formulation capable of identifying a dynamic s-Pareto frontier, while the fourth phase adapts the phase three method to incorporate this new dynamic optimization formulation. Example implementations of the four phases of developments were respectively provided through the design of a modular UAV, a hurricane and flood resistant modular residential structure, a simple aircraft design example inspired by the Lockheed C-130 Hercules, and a modular truss system. Noting that modular products only represent one approach for dealing with changes in preferences, environments, models, and concepts, the final research contribution connects the presented method with parallel research developments in collaborative product design and design principles identification, followed by two case study implementations of this unifying design approach in the development of a modular irrigation pump and a modular plywood cart for developing countries.
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Venturelli, Giovanni. "Development of numerical procedures for turbomachinery optimizaion." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3424102.

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This Doctoral Thesis deals with high speed turbomachinery optimization and all those tools employed in the optimization process, mainly the optimization algorithm, the parameterization framework and the automatic CFD-based optimization loop. Optimization itself is not just a mean to improve the performance of a generic system, but can be a powerful instigator that helps gaining insight on the physic phenomena behind the observed improvements. As for the optimization engine, a novel surrogate-assisted (SA) genetic algorithm for multi-objective optimization problems, namely GeDEA-II-K, was developed. GeDEA-II-K is grounded on the cooperation between a genetic algorithm, namely GeDEA-II, and the Kriging methodology, with the aim at speeding up the optimization process by taking advantage of the surrogate model. The comparison over two- and three-objective test functions revealed the effectiveness of GeDEA-II-K approach. In order to carry out high speed turbomachinery optimizations, an automatic CFD-based optimization loop built around GeDEA-II-K was constructed. The loop was realized for a UNIX/Linux cluster environment in order to exploit the computational resources of parallel computing. Among the tools, a dedicated parameterization framework for 2D airfoils and 3D blades has been designed based on the displacement filed approach. The effectiveness of both the CFD-based automatic loop and the parameterization was verified on two real-life multi-objective optimization problems: the 2D shape optimization of a supersonic compressor cascade and the 3D shape optimization of the NASA Rotor 67. To better understand the outcomes of the optimization process, a wide section has been dedicated to supersonic flows and their behavior when forced to work throughout compressor cascades. The results obtained surely have demonstrated the effectiveness of the optimization approach, and even more have given deep insight on the physic of supersonic flows in the high speed turbomachinery applications that were studied.<br>“Sviluppo di procedure numeriche per l’ottimizzazione di turbomacchine” raccoglie la ricerca svolta dall’autore nel periodo di Dottorato che va dal 2010 al 2013. Il lavoro è nato con una duplice finalità: da una parte sviluppare un algoritmo per l’ottimizzazione multi obiettivo; dall’altra, accoppiare il motore di ottimizzazione con strumenti di analisi basati sulla fluidodinamica computazionale (CFD) per studiare casi di interesse nell’ambito del “high speed turbomachinery”. Gli algoritmi evolutivi hanno dimostrato alta affidabilità e robustezza nel raggiungimento del “Fronte di Pareto” (i.e., è la soluzione di un problema multi obiettivo), richiedendo però un numero di valutazioni delle funzioni obiettivo molto elevato, talvolta impraticabile dal punto di vista industriale. Infatti, quando la CFD è impiegata per valutare le funzioni obiettivo del sistema in esame, il costo computazionale può diventare il vero collo di bottiglia dell’intero processo. Una possibile soluzione viene fornita dai modelli surrogati, o metamodelli, cioè tecniche matematiche il cui scopo è quello di approssimare le funzioni obiettivo permettendo, di fatto, di diminuire le chiamate dirette alla CFD e di conseguenza anche il tempo totale del processo di ottimizzazione. Il vero dilemma è come affiancare gli algoritmi evoluti a uno o a più modelli surrogati, al fine di migliorare le prestazioni del motore di ottimizzazione. A oggi il problema non ha una soluzione univoca. La tesi è costituita da cinque capitoli. Il primo capitolo vuol essere di introduzione sia ai modelli surrogati visti nell'ottica dell’ottimizzazione, sia alle strategie di ottimizzazione che sono state applicate per migliorare i compressori transonici e le schiere supersoniche di compressori, che rappresentano i casi di interesse studiati in questa Tesi. Il secondo capitolo è dedicato al motore di ottimizzazione sviluppato dall’autore, denominato GeDEA-II-K. Il GeDEA-II-K nasce dall’unione del preesistente algoritmo genetico GeDEA-II e di un modello surrogato basato sul Kriging. Le prestazioni del nuovo algoritmo sono state testate su problemi matematici a due e a tre obiettivi ben noti in letteratura. Nel terzo capitolo è stato approfondito in grande dettaglio la fisica alla base delle schiere supersoniche, cercando di comprendere il legame profondo tra la geometria della schiera e il campo di moto che si viene a creare. Nel quarto e nel quinto capitolo è stato testato il loop automatico di ottimizzazione sviluppato dall’autore che comprende il motore di ottimizzazione, il tool di parametrizzazione della geometria, i modelli CFD, e tutti quegli elementi indispensabili per garantire robustezza ad una procedura automatica. Nello specifico è stata condotta l’ottimizzazione di una schiera supersonica e del compressore transonico NASA Rotor 67.
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Silva, Yuri Laio Teixeira Veras. "Uma meta-heurística para uma classe de problemas de otimização de carteiras de investimentos." Universidade Federal da Paraíba, 2017. http://tede.biblioteca.ufpb.br:8080/handle/tede/9936.

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Submitted by Leonardo Cavalcante (leo.ocavalcante@gmail.com) on 2018-06-11T11:34:10Z No. of bitstreams: 1 Arquivototal.pdf: 1995596 bytes, checksum: bfcc1e1f3a77514dcbf7a8e4f5e4701b (MD5)<br>Made available in DSpace on 2018-06-11T11:34:10Z (GMT). No. of bitstreams: 1 Arquivototal.pdf: 1995596 bytes, checksum: bfcc1e1f3a77514dcbf7a8e4f5e4701b (MD5) Previous issue date: 2017-02-16<br>Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq<br>The problem in investment portfolio selection consists in the allocation of resources to a finite number of assets, aiming, in its classic approach, to overcome a trade-off between the risk and expected return of the portfolio. This problem is one of the most important topics targeted at today’s financial and economic issues. Since the pioneering works of Markowitz, the issue is treated as an optimisation problem with the two aforementioned objectives. However, in recent years, various restrictions and additional risk measurements were identified in the literature, such as, for example, cardinality restrictions, minimum transaction lot and asset pre-selection. This practice aims to bring the issue closer to the reality encountered in financial markets. In that regard, this paper proposes a metaheuristic called Particle Swarm for the optimisation of several PSPs, in such a way that allows the resolution of the problem considering a set of restrictions chosen by the investor.<br>O problema de seleção de carteiras de investimentos (PSP) consiste na alocação de recursos a um número finito de ativos, objetivando, em sua abordagem clássica, superar um trade-off entre o retorno esperado e o risco da carteira. Tal problema ´e uma das temáticas mais importantes voltadas a questões financeiras e econômicas da atualidade. Desde os pioneiros trabalhos de Markowitz, o assunto é tratado como um problema de otimização com esses dois objetivos citados. Entretanto, nos últimos anos, diversas restrições e mensurações de riscos adicionais foram consideradas na literatura, como, por exemplo, restrições de cardinalidade, de lote mínimo de transação e de pré-seleção de ativos. Tal prática visa aproximar o problema da realidade encontrada nos mercados financeiros. Neste contexto, o presente trabalho propõe uma meta-heurística denominada Adaptive Non-dominated Sorting Multiobjective Particle Swarm Optimization para a otimização de vários problemas envolvendo PSP, de modo que permita a resolução do problema considerando um conjunto de restri¸c˜oes escolhidas pelo investidor.
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Patel, Chirag B. "A multi-objective stochastic approach to combinatorial technology space exploration." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29647.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Dr. Dimitri N. Mavris; Committee Member: Dr. Brian J. German; Committee Member: Dr. Daniel P. Schrage; Committee Member: Dr. Frederic Villeneuve; Committee Member: Dr. Michelle R. Kirby; Committee Member: Ms. Antje Lembcke. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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黃正一. "Trust region global strategy on unconstrained optimizaiton problems." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/78443250362526274844.

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博士<br>國立臺灣科技大學<br>電子工程系<br>92<br>Tensor method has attracted the researches on related problems for its theoretical interest. This dissertation presents trust region global strategy on unconstrained optimization problems. The first part of this dissertation concentrates on a modified double dogleg trust region global strategy for solving unconstrained optimization problems. We use two new directions to construct a double dogleg curve. In order to compare the performance of our algorithm with previous results, which consist of Newton’s double dogleg algorithm proposed by Dennis and Mei and the tensor method proposed by Schnabel and Chow, we use the test functions proposed by Mor´e et al. Mor´e et al. produced 18 test functions for testing the reliability and robustness of an unconstrained optimization software. In our testing, our algorithm performed significantly better than the previous results in most of the test cases. The second part of this dissertation investigates a tensor hookstep trust region global strategy for solving the unconstrained optimization problems. In order to compare the performance of our algorithm with Newton’s hookstep algorithm, we also use the test functions proposed by Mor´e et al. In our testing, our algorithm performed significantly better than the previous results in most of the test cases. The third part of this dissertation proposes the performance of our modified double dogleg algorithm with our tensor hookstep algorithm. We also use the test functions proposed by Mor´e et al. In our testing, our modified double dogleg algorithm performed slightly better than our tensor hookstep algorithm in most of the test cases. However, our tensor hookstep algorithm sometimes is more reliable than our modified double dogleg algorithm.
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Chun-KunWang and 王俊坤. "Optimizaiton of Quantitative Susceptibility Mapping of Human Brain using Magnetic Resonance Imaging." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/61041678431401359746.

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碩士<br>國立成功大學<br>醫學資訊研究所<br>103<br>Recent studies have shown that Quantitative Susceptibility Mapping (QSM) of brain tissues has great potential for neuronal diseases. Researchers have proposed various algorithms to reduce the influence of the streaking artifact, which is generated during dipole model deconvolution calculation. One of the main purposes of these algorithms is to reduce the impact of the streaking artifact while simultaneously keeping anatomical structures on susceptibility maps as intact as possible. On the other hand, in order to make QSM widely applicable for clinical diagnosis and research, we use Generalized Autocalibraing Partially Parallel Acquisition (GRAPPA) to accelerate the image acquisition. However, whether acceleration using GRAPPA will have any influence on QSM remains to be studied. This study proposed automatic streaking artifact detection to achieve optimal QSM reconstruction results. We also study the influence of GRAPPA acceleration on QSM. Results show that streaking pattern detection not only can be used for parameter optimization in QSM algorithms, but also provide an objective method for comparing residual streaking artifacts in different QSM algorithms. In addition, results from QSM accelerated with GRAPPA show that there are visually perceptible aliasing artifacts on susceptibility maps with R=3 or higher even though, in ROI analysis, the measured susceptibility values seem to be less affected. Therefore, it is concluded that GRAPPA with R=2 results in accelerated image acquisition for reliable QSM reconstruction for clinical applications.
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"FPGA technology mapping optimizaion by rewiring algorithms." 2005. http://library.cuhk.edu.hk/record=b5892361.

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Tang Wai Chung.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.<br>Includes bibliographical references (leaves 40-41).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.iii<br>Chapter 1 --- Introduction --- p.1<br>Chapter 2 --- Rewiring Algorithms --- p.3<br>Chapter 2.1 --- REWIRE --- p.5<br>Chapter 2.2 --- RAMFIRE --- p.7<br>Chapter 2.3 --- GBAW --- p.8<br>Chapter 3 --- FPGA Technology Mapping --- p.11<br>Chapter 3.1 --- Problem Definition --- p.13<br>Chapter 3.2 --- Network-flow-based Algorithms for FPGA Technology Mapping --- p.16<br>Chapter 3.2.1 --- FlowMap --- p.16<br>Chapter 3.2.2 --- FlowSYN --- p.21<br>Chapter 3.2.3 --- CutMap --- p.22<br>Chapter 4 --- LUT Minimization by Rewiring --- p.24<br>Chapter 4.1 --- Greedy Decision Heuristic for LUT Minimization --- p.27<br>Chapter 4.2 --- Experimental Result --- p.28<br>Chapter 5 --- Conclusion --- p.38<br>Bibliography --- p.40
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Chung, Ming-Hua, and 鍾明華. "Optimizaion of Enzymatic Synthesis of Lipoic Acid Ester Using Response Surface Methodology." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/11564619066737999982.

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碩士<br>明志科技大學<br>生化工程研究所<br>102<br>The synthesis of lipoic acid ester using lipoic acid and phenyl ethanol was catalyzed by commercial lipase enzyme (Novozym 435). A three-level three-variable and central composite designed response surface methodology (RSM) was employed to evaluate the parametric effects on esterification of phenyl ethanol and lipoic acid. The effects of various temperature (40-60°C), molar ratios of lipoic acid to phenyl ethanol (1:1-1:3), amounts of enzyme used (20-40 %) on conversion rates were investigated. The results showed that increasing temperature, lipoic acid/phenyl ethanol molar ratio, enzyme amount increased the production of lipoic acid ester. An empirical model for predicting the conversion was developed. The empirical model was statistically verified with experimental data, indicating its experimental acceptance. Therefore, the model could be successfully employed to determine the optimal reaction conditions for lipoic acid ester synthesis. The optimal conditions derived via RSM for the reaction were temperature of 49°C, lipoic acid/phenyl ethanol molar ratio of 1:2.958, enzyme amount of 40%. The actual conversion reached 70% under optimal conditions, which is close to the predicted value of 77.5%. Finally, the chemical structures of the derived compound was using NMR, and the product was using column chromatography with a 60% yield. Key words：lipoic acid, phenyl ethanol, Response Surface Methodology、Lipase
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Book chapters on the topic "Optimizaiton"

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Yan, Xuesong, Qinghua Wu, and Hanmin Liu. "A New Optimizaiton Algorithm for Function Optimization." In Advances in Computation and Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04843-2_16.

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Conference papers on the topic "Optimizaiton"

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Janjua, Abdul Kashif, Sufyan Naeem Mughal, and Akif Zia Khan. "Transformer's Core Size Optimizaiton Using Genetic Algorithm." In 2015 6th International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2015. http://dx.doi.org/10.1109/isms.2015.33.

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CHOI, DONG-HONG, HONG-SOO PARK, and MIN-SOO KIM. "A DIRECT TREATMENT OF MIN-MAX DYNAMIC RESPONSE OPTIMIZAION PROBLEMS." In 34th Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-1352.

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Hu, Mao-Bin, Wang-Ping Sun, Qi-Yi Liu, Rui Jiang, and Qing-Song Wu. "Comparative Study and Optimizaion of Traffic and Granular Merging Flow." In The Joint Conferences of 2015 International Conference on Computer Science and Engineering Technology (CSET2015) and 2015 International Conference on Medical Science and Biological Engineering (MSBE2015). WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814651011_0022.

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Chung, Max, Je Wei Lan, Hung Yi Lin, Lin Sheng Jin, and Shiaw Huei Cheng. "Optimizaion between pulsed power supply and Dielectric Barrier Discharge plasma reactor for sterization." In 2009 IEEE 36th International Conference on Plasma Science (ICOPS). IEEE, 2009. http://dx.doi.org/10.1109/plasma.2009.5227290.

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Amirsaidov, U. B. "Optimizaion of the parameters of data transmission systems by the means of MATLAB." In 2010 4th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2010. http://dx.doi.org/10.1109/icaict.2010.5611801.

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Wichaidit, Siriphan, Pramote Wardkean, Krit Chaiwong, and Wiphada Wettayaprasit. "New hybrid adaptive Ant Colony Optimizaion and Self-Organizing Map for DNA microarray group finding." In 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2012. http://dx.doi.org/10.1109/csae.2012.6272990.

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Flores Monteiro de Oliveira, Ariel, Elisan dos Santos Magalhães, and Kahl Zilnyk. "Optimal experimental design for thermophysical properties estimation using the Quadrilateral Optimizaion Method (QOM) with accelerated GPU implementation." In 20th Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2024. https://doi.org/10.26678/abcm.encit2024.cit24-0066.

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Qasem, Apan. "Efficient execution of time-step computations with pipelined parallelism and inter-thread data locality optimizaitions." In the 2012 International Workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2141702.2141706.

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