Relevant bibliographies by topics / Formulation optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Formulation optimization'

Author: Grafiati
Published: 18 April 2022
Last updated: 25 April 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Formulation optimization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Formulation optimization"

1

Bhattacharya, Sankha, and Bhupendra G. Prajapati. "FORMULATION AND OPTIMIZATION OF CELECOXIB NANOEMULGEL." Asian Journal of Pharmaceutical and Clinical Research 10, no. 8 (August 1, 2017): 353. http://dx.doi.org/10.22159/ajpcr.2017.v10i8.19510.

Full text
Abstract:
Objective: The main objective of this experiment was to prepare and optimized celecoxib nanoemulgel. This formulation can be used for acuterheumatoid arthritis patients.Methods: Celecoxib is a poorly water soluble drug. We prepared celecoxib nanoemulgel to improve intrinsic solubility of celecoxib and enhancedeeper permeation throughout the skin. After several screening, the combination of acetonitrile, triacetin, campul 908P was considered for oil phase;acconon MC8-2EP as surfactant, and capmul MCM C-10 as a co-surfactant accordingly. As per Box-Behnken surface design model, optimization wasdone for all the 13 formulations.Results: Based on pseudo ternary plot, it was found that 4:1 Smix ratio was optimum and possessed maximum drug solubility. Further, screeningshown, 0.25-0.75% carbopol-940 can be a stable candidate for hydrogel preparation. Prepared nanoemulsions and hydrogels were admixed to preparenanoemulgel. Based on overlay plot, EG14* formulation was consider as optimum one, and various evaluation parameters were performed along withother formulations. Using Franz diffusion cell, in-vitro diffusion studies was performed. Almost all the formulations produces good qualitative drugrelease profile. The EG14* shown 95.50% drug release after 12th hrs with standard Higuchi plot (R2 value 0.9989). The optimum viscosity was foundto be 521±0.81 mPas at 100 rpm. The appearance of the formulations was milky, yellowish white with expectable pH ranged from 5.8 to 6.7. Theoptimized formulation has good spreadability coefficient, good ex-vivo diffusion enhancement factor (3.03) as compare to marketed gel. Mostly, ourformulations have less skin irritation and higher anti-inflammatory activity (92.56% of inhibition of paw edema for EG14*).Conclusion: From the thermodynamic studies, it was confirmed that EG14* maintained excellent stability profile in various heating-cooling cycle,centrifugation, and freeze-thaw cycle condition. Hence, it can be conclude that, our formulation, can be consider for pilot scale up.
APA, Harvard, Vancouver, ISO, and other styles
2

Lu, Hongjia, Andrew Tyas, Matthew Gilbert, and Aleksey V. Pichugin. "On transmissible load formulations in topology optimization." Structural and Multidisciplinary Optimization 64, no. 1 (June 3, 2021): 23–37. http://dx.doi.org/10.1007/s00158-021-02932-0.

Full text
Abstract:
AbstractTransmissible loads are external loads defined by their line of action, with actual points of load application chosen as part of the topology optimization process. Although for problems where the optimal structure is a funicular, transmissible loads can be viewed as surface loads, in other cases such loads are free to be applied to internal parts of the structure. There are two main transmissible load formulations described in the literature: a rigid bar (constrained displacement) formulation or, less commonly, a migrating load (equilibrium) formulation. Here, we employ a simple Mohr’s circle analysis to show that the rigid bar formulation will only produce correct structural forms in certain specific circumstances. Numerical examples are used to demonstrate (and explain) the incorrect topologies produced when the rigid bar formulation is applied in other situations. A new analytical solution is also presented for a uniformly loaded cantilever structure. Finally, we invoke duality principles to elucidate the source of the discrepancy between the two formulations, considering both discrete truss and continuum topology optimization formulations.
APA, Harvard, Vancouver, ISO, and other styles
3

Wu, Pao-Chu, Pi-Ju Tsai, Shin-Chen Lin, and Yaw-Bin Huang. "Formulation Optimization of Arecoline Patches." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/945168.

Full text
Abstract:
The response surface methodology (RSM) including polynomial equations has been used to design an optimal patch formulation with appropriate adhesion and flux. The patch formulations were composed of different polymers, including Eudragit RS 100 (ERS), Eudragit RL 100 (ERL) and polyvinylpyrrolidone K30 (PVP), plasticizers (PEG 400), and drug. In addition, using terpenes as enhancers could increase the flux of the drug. Menthol showed the highest enhancement effect on the flux of arecoline.
APA, Harvard, Vancouver, ISO, and other styles
4

ANAND, P., B. V. N. SIVA PRASAD, and CH VENKATESWARLU. "MODELING AND OPTIMIZATION OF A PHARMACEUTICAL FORMULATION SYSTEM USING RADIAL BASIS FUNCTION NETWORK." International Journal of Neural Systems 19, no. 02 (April 2009): 127–36. http://dx.doi.org/10.1142/s0129065709001896.

Full text
Abstract:
A Pharmaceutical formulation is composed of several formulation factors and process variables. Quantitative model based pharmaceutical formulation involves establishing mathematical relations between the formulation variables and the resulting responses, and optimizing the formulation conditions. In a formulation system involving several objectives, the desirable formulation conditions for one property may not always be desirable for other characteristics, thus leading to the problem of conflicting objectives. Therefore, efficient modeling and optimization techniques are needed to devise an optimal formulation system. In this work, a novel method based on radial basis function network (RBFN) is proposed for modeling and optimization of pharmaceutical formulations involving several objectives. This method has the advantage that it automatically configures the RBFN using a hierarchically self organizing learning algorithm while establishing the network parameters. This method is evaluated by using a trapidil formulation system as a test bed and compared with that of a response surface method (RSM) based on multiple regression. The simulation results demonstrate the better performance of the proposed RBFN method for modeling and optimization of pharmaceutical formulations over the regression based RSM technique.
APA, Harvard, Vancouver, ISO, and other styles
5

Tsai, Pi-Ju, Chi-Te Huang, Chen-Chou Lee, Chi-Lin Li, Yaw-Bin Huang, Yi-Hung Tsai, and Pao-Chu Wu. "Isotretinoin Oil-Based Capsule Formulation Optimization." Scientific World Journal 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/856967.

Full text
Abstract:
The purpose of this study was to develop and optimize an isotretinoin oil-based capsule with specific dissolution pattern. A three-factor-constrained mixture design was used to prepare the systemic model formulations. The independent factors were the components of oil-based capsule including beeswax (X1), hydrogenated coconut oil (X2), and soybean oil (X3). The drug release percentages at 10, 30, 60, and 90 min were selected as responses. The effect of formulation factors including that on responses was inspected by using response surface methodology (RSM). Multiple-response optimization was performed to search for the appropriate formulation with specific release pattern. It was found that the interaction effect of these formulation factors (X1X2,X1X3, andX2X3) showed more potential influence than that of the main factors (X1,X2, andX3). An optimal predicted formulation withY10 min,Y30 min,Y60 min, andY90 minrelease values of 12.3%, 36.7%, 73.6%, and 92.7% atX1,X2, andX3of 5.75, 15.37, and 78.88, respectively, was developed. The new formulation was prepared and performed by the dissolution test. The similarity factorf2was 54.8, indicating that the dissolution pattern of the new optimized formulation showed equivalence to the predicted profile.
APA, Harvard, Vancouver, ISO, and other styles
6

Singh, Bhupinder, Sonia Pahuja, Rishi Kapil, and Naveen Ahuja. "Formulation development of oral controlled release tablets of hydralazine: Optimization of drug release and bioadhesive characteristics." Acta Pharmaceutica 59, no. 1 (March 1, 2009): 1–13. http://dx.doi.org/10.2478/v10007-009-0005-z.

Full text
Abstract:
Formulation development of oral controlled release tablets of hydralazine: Optimization of drug release and bioadhesive characteristicsThe current study involves development of oral bioadhesive hydrophilic matrices of hydralazine hydrochloride, and optimization of theirin vitrodrug release profile andex vivobioadhesion against porcine gastric mucosa. A 32central composite design was employed to systematically optimize the drug delivery formulations containing two polymers,viz., carbomer and hydroxypropyl methyl cellulose. Response surface plots were drawn and optimum formulations were selected by brute force searches. Validation of the formulation optimization study indicated a very high degree of prognostic ability. The study successfully undertook the development of an optimized once-a-day formulation of hydralazine with excellent bioadhesive and controlled release characteristics.
APA, Harvard, Vancouver, ISO, and other styles
7

Kumar, Sandeep, Manju Nagpal, Kalpana Nagpal, and Gitika Arora Dhingra. "Sustained Release Solid Dispersions of Pentoxyfylline: Formulation and Optimization." Journal of Pharmaceutical Technology, Research and Management 2, no. 1 (May 5, 2014): 13–28. http://dx.doi.org/10.15415/jptrm.2014.21002.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kraisit, Pakorn, and Narong Sarisuta. "Optimization of Diclofenac Sodium-Loaded Nanostructured Lipid Carriers (NLCs) Using the Box-Behnken Design." Key Engineering Materials 901 (October 8, 2021): 137–43. http://dx.doi.org/10.4028/www.scientific.net/kem.901.137.

Full text
Abstract:
This study aimed to prepare diclofenac sodium (DCF)–loaded nanostructured lipid carriers (NLCs) (DCF-loaded NLCs) for optimizing the NLCs by using the Box-Behnken design. A hot emulsification method using an ultrasonic probe was employed to prepare DCF-loaded NLCs. The active ingredient, solid lipid, oil, and emulsifier were DCF, glyceryl monostearate (GMS) (X1), oleic acid (X2), and polysorbate 80 (X3), respectively. The DCF-loaded NLCs had particle sizes of 69.29–187.3 nm. The polydispersity index (PDI) was in the range of 0.216–0.516, indicating a relatively narrow size distribution. The zeta potential of all formulations revealed the negative charge and ranged between -26.0 and -42.13 mV. The percentage encapsulation efficiency (%EE) was 92.71%–104.21%. The responses of all model formulations were created and the optimized formulation was selected by Design-Expert® software. The optimal formulation was composed of 2 g GMS, 0.926 g oleic acid, and 2.724 g polysorbate 80. The particle size and PDI experimental values with the optimal formulation did not differ from those predicted and were within the 95% CI. Therefore, the Box-Behnken design could be efficient in formulating and optimizing DCF-loaded NLCs.
APA, Harvard, Vancouver, ISO, and other styles
9

Kumar, Niwash. "Preparation, Evaluation & Optimization of Nanoparticles Composed of Pyridostigmine." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 1422–38. http://dx.doi.org/10.22214/ijraset.2021.38902.

Full text
Abstract:
Abstract: The purpose of this study was to prepare Pyridostigmine nanoparticles for control release of Pyridostigmine to improve the oral bioavailability, enhance the solubility and dissolution rate by decreasing particle size of drug. Infrared spectroscopic studies confirmed that there was no interaction between drug and polymers. The controlled release Pyridostigmine nanoparticles were prepared by Solvent evaporation by using Ethyl cellulose, Chitosan & HPMC K100 at different ratios. The production yield of the formulated controlled release nanoparticles (F1 to F16) in the range of 76.11 % to 83.58 %. The drug content of the formulated controlled release nanoparticles (F1 to F16) in the range of 82.56 %to 98.20%. The Theoretical loading of the formulated controlled release nanoparticles (F1- F16) in the range of 24.43 % to 64.24%. The entrapment efficiency increased with increasing the concentration of polymers and the formulations containing chitosan nanoparticles F6 (1:2) showed better entrapment (90.94%) among all formulation. The solubility of selected formulation (F6) in 0.2 M Phosphate buffer pH 6.8 increased when compared to pure drug. Particle size distribution was determined by Malvern zeta size, the size range for produced nanoparticles in the range of 200 nm to 400 nm. The Polydispersity index of selected nanoparticle formulation (F6) was indicated a narrow range and a homogeneous size distribution of particles. The in vitro dissolution study was carried out in 0. 2N PBS for 2 hours and phosphate buffer pH 6.8 for 10 hours. The formulations shows controlled release of drug up to 12 hrs and all formulations showed more than 75% of drug release. The release kinetics showed that the formulations were complies with Zero order kinetics followed by diffusion controlled mechanism. The best formulation F6 was evaluated by infrared spectroscopy, particle size, Polydispersity index & zeta potential and Scanning Electron microscopy. Best formulation of nanoparticles shown the extent of drug release was found to be F6 (96.93%) in 12 hrs. SEM studies confirmed the morphology of the nanoparticle formulation. Keywords: Polydispersity index, Zeta potential, Scanning Electron microscopy, Pyridostigmine
APA, Harvard, Vancouver, ISO, and other styles
10

Darwish, Manal K. M., Amal S. M. Abu El-Enin, and Kamilia H. A. Mohammed. "Formulation, optimization, and evaluation of raft-forming formulations containing Nizatidine." Drug Development and Industrial Pharmacy 45, no. 4 (February 7, 2019): 651–63. http://dx.doi.org/10.1080/03639045.2019.1569033.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Formulation optimization"

1

Berg, Lisa. "Optimization of a biostimulant formulation." Thesis, KTH, Skolan för bioteknologi (BIO), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215305.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Navarro, Luis Fernando Piccino. "Application of hybrid-mixed stress formulation on topology optimization." reponame:Repositório Institucional da UFABC, 2018.

Find full text
Abstract:
Orientador: Prof. Dr. Wesley Góis
Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Engenharia Mecânica, São Bernardo do Campo, 2018.
Nas últimas décadas o Método de Otimização Topológica se tornou um dos métodos mais populares tanto da indústria quanto na academia como uma ferramenta para projetos conceituais, e por esse motivo muitos avanços na área foram obtidos. Apesar da maturidade do método, apenas recentemente pesquisas propuseram a adoção de formulações nãoconvencionais do Método dos Elementos Finitos com o intuito de se trabalhar aspectos relacionados a presença de restrições de tensão, de instabilidade de tabuleiro de xadrez, materiais incompressíveis e também de problemas relacionados a cargas de pressão na Otimização Topológica. Nessa linha, a presente dissertação explora uma formulação alternativa do Método dos Elementos Finitos para o problema de otimização topológica de estruturas continuas. A formulação adotada é a Formulação Híbrido-Mista de Tensão (FHMT), na qual tanto a tensão no domínio quanto o deslocamento no domínio e no contorno são variáveis principais, isto é, aproximadas diretamente pelo método. Para analisar a otimização topológica com a nova formulação, o problema de minimização da função flexibilidade média com restrição de volume inteiramente descrito em termos do campo de tensão é examinado. Também é analisado o problema descrito com restrição de tensão global, feito por meio da norma Média ¿ P. Os resultados obtidos apresentaram projetos sem a presença da instabilidade de tabuleiro de xadrez e de acordo com os resultados apresentados na literatura, em sua maioria baseados no Método dos Elementos Finitos. Com relação ao problema com restrição de tensão, o Método apresentou resultados com alívio dos concentradores de tensão, como apresentado na literatura, embora não atingido layouts com tensão máxima abaixo do limite prescrito.
Over the past decades the Topology Optimization Method has become one of the most popular methods in industry and academia as a mechanical design tool for conceptual projects, and for this reason a lot of advances have been made. Although its maturity, only recently researches have proposed the adoption of non-conventional formulations of the Finite Element Method in order to handle the presence of stress constraints, check board pattern, incompressible media optimization and pressure load problems in Topology Optimization. In this sense, the present dissertation explores an alternative formulation for the topology optimization of continuum structures. The formulation adopted is the Hybrid-Mixed Stress Formulation (HMSF), in which the stress as well the displacement on the domain and on the boundary, are the main variables. A minimum compliance with volume constraint problems fully described in terms of the stress is examined with the compliance computed trough the calculation of the complementary energy. Moreover, to examine the potentiality of the formulation the stress constraint problem was performed and evaluated through a P-mean norm. The formulation has shown to achieve freely checkboard designs, good agreement with available references results based on classic Finite Element Methods and moreover optimized layouts with no fading on the edges. Concerning the stress constraints problems, the formulation has shown to alleviate the stress concentrations regions, agreeing with the results found on the literature, although not achieving layouts with maximum stress lower than the prescribed limit.
APA, Harvard, Vancouver, ISO, and other styles
3

Chen, Ying. "Formulation of a Multi-Disciplinary Design Optimization of Containerships." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/36069.

Full text
Abstract:
To develop a computer tool that will give the best ship design using an optimization technique is one of the objects of the FIRST project. Choosing a containership design as a test case, the Design Optimization Tools (DOT) package is used as the optimization tool. The problem is tackled from the ship owner's point of view. The required freight rate is chosen as the objective function because the most important thing that concerns the ship owner is whether the ship will make a profit or not, and if so, how much profit it can make. DOT, as well as any other numerical optimization tool, only gives an approximation of the optimum design and uses numerical approximation during the optimization. It is very important for the users to formulate carefully the optimization problem so that it will give a stable and reasonable solution. Development of a geometric module and choosing suitable empirical formulas for performance evaluation are also major issues of the project.
Master of Science
APA, Harvard, Vancouver, ISO, and other styles
4

Kato, Junji, and Ekkehard Ramm. "Multiphase Layout Optimization for Fiber Reinforced Composites applying a Damage Formulation." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1244047693853-06457.

Full text
Abstract:
The present study addresses an optimization strategy for maximizing the structural ductility of Fiber Reinforced Concrete (FRC) with long textile fibers. Due to material brittleness of both concrete and fiber in addition to complex interfacial behavior between above constituents the structural response of FRC is highly nonlinear. Consideration of this material nonlinearity including interface is mandatory to deal with this kind of composite. In the present contribution three kinds of optimization strategies based on a damage formulation are described. The performance of the proposed method is demonstrated by a series of numerical examples; it is verified that the ductility can be substantially improved.
APA, Harvard, Vancouver, ISO, and other styles
5

Kato, Junji. "Material optimization for fiber reinforced composites applying a damage formulation." Stuttgart Inst. für Baustatik und Baudynamik, 2010. http://d-nb.info/1001076508/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Fazzolari, Antonio. "An aero-structure adjoint formulation for efficient multidisciplinary wing optimization." [S.l.] : [s.n.], 2005. http://www.digibib.tu-bs.de/?docid=00013997.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Curtis, Shane Keawe. "A Method for Exploring Optimization Formulation Space in Conceptual Design." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3213.

Full text
Abstract:
Formulation space exploration is a new strategy for multiobjective optimization that facilitates both divergent searching and convergent optimization during the early stages of design. The formulation space is the union of all variable and design objective spaces identified by the designer as being valid and pragmatic problem formulations. By extending a computational search into the formulation space, the solution to an optimization problem is no longer predefined by any single problem formulation, as it is with traditional optimization methods. Instead, a designer is free to change, modify, and update design objectives, variables, and constraints and explore design alternatives without requiring a concrete understanding of the design problem a priori. To facilitate this process, a new vector/matrix-based definition for multiobjective optimization problems is introduced, which is dynamic in nature and easily modified. Additionally, a set of exploration metrics is developed to help guide designers while exploring the formulation space. Finally, several examples are presented to illustrate the use of this new, dynamic approach to multiobjective optimization.
APA, Harvard, Vancouver, ISO, and other styles
8

Ezechukww, Obinna Chidiebere. "Automated formulation of financial optimization models with support for multiple views." Thesis, Imperial College London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415016.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Lin, Shiow-Min. "Formulation and evaluation of a methodology for network-wide signal optimization." [Florida] : State University System of Florida, 1999. http://etd.fcla.edu/etd/uf/1999/amp7369/lin.pdf.

Full text
Abstract:
Thesis (Ph. D.)--University of Florida, 1999.
Title from first page of PDF file. Document formatted into pages; contains xvii, 161 p.; also contains graphics. Vita. Includes bibliographical references (p. 152-159).
APA, Harvard, Vancouver, ISO, and other styles
10

Coleman, Jessica M. Ms. "Formulation and Optimization of Aliskiren Loaded Poly(Lactide-Co-Glycolide) Nanoparticles." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/honors/275.

Full text
Abstract:
Aliskiren is a non-peptide, orally active renin inhibitor with poor absorption and low bioavailability (~2.6%). In order to improve the current drug delivery system, a commercially available, biodegradable copolymer, poly(lactide-co-glycolide) (PLGA), was employed for a nanoparticle (NP) reformulation of aliskiren. An emulsion-diffusion-evaporation technique was implemented where aliskiren and PLGA were dissolved in dichloromethane, ethyl acetate, or ethyl acetate/acetone. To an aqueous phase containing 0.25% w/v didodecyldimethylammonium bromide (DMAB) as stabilizer, the previously prepared organic phase was added drop-wise. Following sonication, NP diffusion was expedited with the addition of water, and the organic phase was evaporated to form a suspension. Centrifugation was performed at 10,000 rpm, and the supernatant was analyzed for drug entrapment efficiency via ultraviolet-visible spectroscopy as well as particle morphology with the use of a transmission electron microscope (TEM). Having the highest entrapment efficiency (82.68 ± 1.18 %), ethyl acetate was used as the organic solvent in further testing, such as examining the effects of variation in DMAB stabilizer concentration (0.10, 0.25, 0.50, or 1.00% w/v) and centrifugation speed (10,000 or 12,000 rpm). The optimum formulation was ascertained through observing certain NP characteristics, such as entrapment efficiency particle size, zeta potential, and polydispersity index (PDI). A NICOMP Particle Sizer was used to measure particle size, zeta potential, and PDI. The smallest NP size (67.27 ± 0.87 nm) was accomplished with 0.50% w/v DMAB concentration using a centrifugation speed of 12,000 rpm, while the highest zeta potential (18.73 ± 0.03 mV) was detected with the 1.00% w/v DMAB concentration and a 10,000 rpm centrifugation speed. Further, the best entrapment efficiency and PDI (82.68 ± 1.18 % and 0.15 ± 0.03, respectively) were accomplished with 0.25% w/v DMAB and centrifugation at 10,000 rpm. The most favorable formulation yielding the highest zeta potential (18.73 ± 0.03 mV) was observed when DMAB stabilizer was 1.00% w/v and centrifuged at 10,000 rpm. Particle size and entrapment efficiency for this formulation were 75.67 ± 0.89 nm and 71.62 ± 0.11 %, respectively.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Formulation optimization"

1

Diaby, Moustapha. Advances in combinatorial optimization: Linear programming formulation of the traveling salesman and other hard combinatorial optimization problems. New Jersey: World Scientific, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Wriggers, P., and Paulo de Mattos Pimenta. New trends in thin structures: Formulation, optimization and coupled problems. Wien: Springer, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

De Mattos Pimenta, Paulo, and Peter Wriggers, eds. New Trends in Thin Structures: Formulation, Optimization and Coupled Problems. Vienna: Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-7091-0231-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Anderson, W. Kyle. Aerodynamic design optimization on unstructured grids with a continuous adjoint formulation. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Fonseca, Carlos M. Multiobjective optimization and multiple constraint handling with evolutionary algorithms I: A unified formulation. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Tabarrok, B. Variational Methods and Complementary Formulations in Dynamics. Dordrecht: Springer Netherlands, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Plevris, Vagelis. Structural seismic design optimization and earthquake engineering: Formulations and applications. Hershey, PA: Engineering Science Reference, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Parallel CFD '99 Conference, Williamsburg, 1999. Parallel computational fluid dynamics: Towards teraplops, optimization and novel formulations: proceedings of the Parallel CFD '99 Conference. Amsterdam: Elsevier, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

E, Keyes David, ed. Parallel computational fluid dynamics: Towards teraflops, optimization, and novel formulations : proceedings of the Parallel CFD '99 Conference. Amsterdam: Elsevier, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Elkamel, Ali, Navid Omidbakhsh, Keyvan Nowruzi, and Thomas Duever. Chemical Product Formulation Design and Optimization. Wiley & Sons, Incorporated, John, 2021.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Formulation optimization"

1

Shi, Bin, and S. S. Iyengar. "Optimization Formulation." In Mathematical Theories of Machine Learning - Theory and Applications, 17–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17076-9_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Bhatti, M. Asghar. "Optimization Problem Formulation." In Practical Optimization Methods, 1–45. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-0501-2_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Prager, W., and M. Save. "Problem Formulation and Optimality Criteria." In Structural Optimization, 31–39. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4615-7921-2_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Jaluria, Yogesh. "Problem Formulation for Optimization." In Design and Optimization of Thermal Systems, 339–72. Third edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2020. |: CRC Press, 2019. http://dx.doi.org/10.1201/9780429085789-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Potschka, Andreas. "Problem formulation." In A Direct Method for Parabolic PDE Constrained Optimization Problems, 11–17. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-04476-3_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

MacGregor Smith, J. "App Problem Formulation." In Combinatorial, Linear, Integer and Nonlinear Optimization Apps, 1–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75801-1_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Grossi, Valerio, Anna Monreale, Mirco Nanni, Dino Pedreschi, and Franco Turini. "Clustering Formulation Using Constraint Optimization." In Software Engineering and Formal Methods, 93–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-49224-6_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Balaji, C. "Optimization—Basic Ideas and Formulation." In Thermal System Design and Optimization, 129–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59046-8_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Albin Rajasingham, Thivaharan. "Formulation of the Optimization Problem." In Nonlinear Model Predictive Control of Combustion Engines, 139–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68010-7_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Pérez Carabaza, Sara. "Problem Formulation and Optimization Approach." In Springer Theses, 33–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76559-0_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Formulation optimization"

1

Yang, R. J., T. J. Walsh, and P. A. Schilke. "A General Formulation for Topology Optimization." In International Truck & Bus Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1994. http://dx.doi.org/10.4271/942256.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kanoun, Oussama, Eiichi Yoshida, and Jean-Paul Laumond. "An optimization formulation for footsteps planning." In 2009 9th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2009). IEEE, 2009. http://dx.doi.org/10.1109/ichr.2009.5379527.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wu, Qiang, Yanli Li, Liwan Yue, and Zhibiao Mao. "Process Model Guided Photoresist Formulation Optimization." In 2021 International Workshop on Advanced Patterning Solutions (IWAPS). IEEE, 2021. http://dx.doi.org/10.1109/iwaps54037.2021.9671234.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Miura, Hirokazu, and Mladen Chargin. "A flexible formulation for multi-objective design problems." In 6th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-4121.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Shenoy, Ajit, and Eugene Cliff. "An optimal control formulation for a flow matching problem." In 5th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4306.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Turgeon, E., D. Pelletier, and J. Borggaard. "A general continuous sensitivity equation formulation for complex flows." In 8th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4732.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Thompson, David F. "A Formulation for Mixed QFT/H2 Optimization." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4793166.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Fatimah, Siti Fatmawati, Raihan Novarida, Laela Hayu Nurani, and Citra Aryani Edityaningrum. "Optimization Formulation of Spirulina platensis Chewable Tablet." In 1st Annual International Conference on Natural and Social Science Education (ICNSSE 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210430.015.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Brevault, Loic, Mathieu Balesdent, Nicolas Berend, and Rodolphe Le Riche. "Decoupled UMDO formulation for interdisciplinary coupling satisfaction under uncertainty." In 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-3014.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kim, M., and D. Williamson. "A fluid-structure interaction formulation for fluids with free surface." In 6th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-4184.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Formulation optimization"

1

Omatete, O. O., J. P. Pollinger, and K. O`Young. Optimization of the gelcasting of a silicon nitride formulation. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/73008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gearhart, Jared L., Kristin L. Adair, Alisa Bandlow, Dean A. Jones, Katherine A. Jones, Nathaniel Martin, Nadine E. Miner, Alan Stewart Nanco, and Linda Karen Nozick. Contingency contractor optimization. Phase 2, model description and formulation. Office of Scientific and Technical Information (OSTI), June 2012. http://dx.doi.org/10.2172/1055652.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Dulikravich, George S., Igor N. Egorov, Vinod K. Sikka, and G. Muralidharan. Alloys-by-Design Strategies Using Stochastic Multi-Objective Optimization: Initial Formulation and Results. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada416083.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

D'Elia, Marta, and Pavel B. Bochev. Formulation analysis and computation of an optimization-based local-to-nonlocal coupling method. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1572228.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Horton, David R., Victoria Soroker, Peter Landolt, and Jocelyn Millar. Optimization and field-testing of synthetic sex attractants for two psyllid pests of pears (Hemiptera: Psyllidae). United States Department of Agriculture, October 2011. http://dx.doi.org/10.32747/2011.7594407.bard.

Full text
Abstract:
OBJECTIVES OVERVIEW Improve field activity of pheromone Evaluation of the seasonality of psylla reproduction Evaluate the seasonality of female attractiveness (pheromone production) Evaluate seasonality of male response to synthetic pheromone components Develop practical use for pheromone Test psylla trapping by synthetic pheromone impregnated in rubber septa (provided by J. Millar, cooperator in USA). Test a sprayable formulation of pheromone developed by D. Horton (USA cooperator) SIGNIFICANT FINDINGS No consistent seasonality in female attractiveness was observed. Female attractiveness was observed in winter forms in the end December and in May-June in summer forms. C. bidenshas a very distinct but short period of low mating rate, that is associated with low ovarian development. This short period of low ovarian development and low mating rate cannot be considered as a reproductive diapause. Ovarian development is inhibited by short day photoperiod especially in presence of low temperatures. Male attraction to individual synthetic putative pheromone components is not strong and fluctuates seasonally. While 7MeC27was attractive to males of the winter form, it was not attractive to the summer forms in the beginning of the summer. These data are in accordance with differences in cuticular profiles of winter and summer attractive females vs non attractive ones. Cuticular profile of females shows significant seasonality and difference according to their attractiveness to males especially in summer time. Differences between attractive and non-attractive females is based on several compounds . Female attraciveness in summer and winter is apparently based on a different combination of chemical cues, but 7meC27 is one of the common components to both mixtures. These two last findings are likely to be the main reason for our failure to have consistent success in trapping C. bidensin the field. It seems that a sprayable formulation of pheromone on the pear is better way of pheromone application to attract psyllid then the impregnated rubber septa, but additional trials are needed.
APA, Harvard, Vancouver, ISO, and other styles
6

Page, Martin, Bruce MacAllister, Marissa Campobasso, Angela Urban, Catherine Thomas, Clinton Cender, Clint Arnett, et al. Optimizing the Harmful Algal Bloom Interception, Treatment, and Transformation System (HABITATS). Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42223.

Full text
Abstract:
Harmful algal blooms (HABs) continue to affect lakes and waterways across the nation, often resulting in environmental and economic damage at regional scales. The US Army Engineer Research and Development Center (ERDC) and collaborators have continued research on the Harmful Algal Bloom Interception, Treatment, and Transformation System (HABITATS) project to develop a rapidly deployable and scalable system for mitigating large HABs. The second year of the project focused on optimization research, including (1) development of a new organic flocculant formulation for neutralization and flotation of algal cells; (2) testing and initial optimization of a new, high-throughput biomass dewatering system with low power requirements; (3) development, design, assembly, and initial testing of the first shipboard HABITATS prototype; (4) execution of two field pilot studies of interception and treatment systems in coordination with the Florida Department of Environmental Protection and New York State Department of Environmental Conservation; (5) conversion of algal biomass into biocrude fuel at pilot scale with a 33% increase in yield compared to the previous bench scale continuous-flow reactor studies; and (6) refinement of a scalability analysis and optimization model to guide the future development of full-scale prototypes.
APA, Harvard, Vancouver, ISO, and other styles
7

Harpaz, Sheenan, Steven G. Hughes, and Pinhas Lindner. Optimization of Diet for Post Larvel/Juvenile Sea Bass and Hybrid Stripped Bass Based on Enzymatic Profiles of their Digestive Tracts. United States Department of Agriculture, December 1995. http://dx.doi.org/10.32747/1995.7604924.bard.

Full text
Abstract:
The overall goal of this research work was to identify the main proteolytic activities which take place in the digestive tracts of young bass fish, and use the knowledge acquired in order to improve feed protein utilization in juvenile fish based on their digestive capacity. The results of the work clearly showed that the young fish possess the entire profile of proteolytic enzymes which is found in adult fish. Yet, in the young fish the level of activity is substantially lower per gram tissue (or gram protein) as compared with the activity found in the digestive tracts of the same fish at an older (larger) age. In addition it was found that the main proteolytic enzyme in these fish is chymotrypsin which accounts for almost 80% of the proteolytic activity. An effort aimed at enhancing this activity has lead to the interesting finding that alcohol substantially enhances the proteolytic activity of fish intestines. Fish intestinal homogenates were used in order to evaluate the suitability of various feeds for the fish. Potential feed proteins were subjected to the proteolytic activity of the fish enzymes in vitro, in a manner simulating the natural process. The proteolytic activity was monitored by the valuation of the products, i.e. amino acid released. This method has proven to be a powerful tool which enables us to predict with a very high degree of accuracy the potential of a feed to promote growth. Selection of feed based on the proteolytic capacity of the fish degestive tracts can now be implemented in feed formulation, as anticipated in the original research proposal.
APA, Harvard, Vancouver, ISO, and other styles
8

French, T. R. Design and optimization of phosphate-containing alkaline flooding formulations. Office of Scientific and Technical Information (OSTI), February 1990. http://dx.doi.org/10.2172/5110994.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Scholnik, Dan P., and Jeffrey O. Coleman. Second-Order Cone Formulations of Mixed-Norm Error Constraints for FIR Filter Optimization. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada523252.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Formulation optimization' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography