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Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Optimisation.

Статті в журналах з теми "Optimisation"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 25 липня 2025

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1

Jesudasan, Rejish, Ardeshir Hanifi, and Raffaello Mariani. "Investigating Planar and Nonplanar Wing Planform Optimisation for Ground Effect Aircraft." Aerospace 10, no. 11 (2023): 969. http://dx.doi.org/10.3390/aerospace10110969.

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Wing-in-Ground (WIG) effect aircraft are gaining attention for their potential in reducing environmental impact. However, optimising wing planforms based solely on aerodynamics might improve performance while compromising static height stability of WIG aircraft. This study investigates the effects of planar and nonplanar wing planform optimisation for regional transport ground effect aircraft. Three distinct multiobjective wing planform optimisations are explored: planar wing optimisation, nonplanar wing optimisation, and nonplanar wingtip optimisation. These optimisations assess the impact on

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2

Valetov, Eremey, Giovanni Dal Maso, Peter-Raymond Kettle, Andreas Knecht, and Angela Papa. "Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island Model." Particles 7, no. 3 (2024): 683–91. http://dx.doi.org/10.3390/particles7030039.

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The High Intensity Muon Beams (HIMB) project at the Paul Scherrer Institute (PSI) will deliver muon beams with unprecedented intensities of up to 1010muons/s for next-generation particle physics and material science experiments. This represents a hundredfold increase over the current state-of-the-art muon intensities, also provided by PSI. We performed beam dynamics optimisations and studies for the design of the HIMB beamlines MUH2 and MUH3 using Graphics Transport, Graphics Turtle, and G4beamline, the latter incorporating PSI’s own measured π+ cross-sections and variance reduction. We initia

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3

Wu, Qing, Colin Cole, Maksym Spiryagin, and Tim McSweeney. "Parallel multiobjective optimisations of draft gear designs." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 232, no. 3 (2017): 744–58. http://dx.doi.org/10.1177/0954409717690981.

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This paper presents the methodology and results of the parallel multiobjective optimisations of draft gear designs. The methodology used white-box draft gear models, whose parameters were used as the optimisation variables. Two optimisation algorithms were used: genetic algorithm and particle swarm optimisation. All the optimised draft gear designs were constrained by impact tests to ensure that the optimised designs also comply with the current acceptance standards for draft gears. The performance of draft gears was assessed using whole-trip longitudinal train dynamics simulations and coupler

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4

Vankan, W. J., R. Maas, and S. Grihon. "Efficient optimisation of large aircraft fuselage structures." Aeronautical Journal 118, no. 1199 (2014): 31–52. http://dx.doi.org/10.1017/s0001924000008915.

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Abstract This paper presents an innovative optimisation method for aircraft fuselage structural design. Detailed local finite element analyses of panel buckling are further processed such that they can be applied as failure constraints in the global level optimisation. The high computational costs involved with the finite element analyses are limited by advanced use of surrogate modelling methods. This yields high flexibility and efficiency in the local level optimisation procedure and allows for efficient gradient based search methods as well as more costly direct search optimisations like ge

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5

Podobedov, Vitaly E. "DETERMINISTIC CHAOS PRODUCED BY LOCAL OPTIMISATION ALGORITHMS." Technological and Economic Development of Economy 13, no. 1 (2007): 61–66. http://dx.doi.org/10.3846/13928619.2007.9637777.

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Deterministic chaos situations produced by local optimisation algorithms are considered. A family of test multi‐extremal functions is proposed that allows getting the collections of functions with an arbitrary pre‐defined number of the local optima. Special software is developed for generating test functions from the family, performing multiple local optimisations of different initial points, visualising the chaotic attraction regions. Properties of the regions of attraction are presented. Regularity of the attraction regions is required to be a special characteristic of the local optimisation

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6

Tomašić, Dubravko, Dragan Peraković, and Marinko Jurčević. "Interdependence between Inventory Management and Employees’ Satisfaction." PROMET - Traffic&Transportation 25, no. 3 (2013): 245–54. http://dx.doi.org/10.7307/ptt.v25i3.909.

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The study determines the correlation between the application of advanced models and methods of inventory optimisation in the supply chain in relation to the satisfaction of employees who are responsible for managing the inventory optimisation processes. The previous studies confirm that the optimisation of inventory management in the supply chain insures competitive advantages on the market. There is space for further research of impact of the achieved inventory optimisation in the supply chain on the change of the employees’ satisfaction. The paper establishes the interrelation of the interde

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7

Ali Bahr Ennil and Abdulhafid M A Elfaghi. "Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis." Journal of Advanced Research in Applied Mechanics 120, no. 1 (2024): 40–49. http://dx.doi.org/10.37934/aram.120.1.4049.

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The turbine blade is designed to achieve expansion at high efficiency levels. For improving the turbine efficiency, different aerodynamic design optimisations are performed. On the other hand, the aerodynamic design must be enhanced to match the mechanical design. This research proposes a novel design optimisation method for both aerodynamic and mechanical requirements. A multidisciplinary optimisation approach is used to improve the reliability of the turbine design, which included the use of Computational Fluid Dynamics (CFD) models and Finite Element Analysis (FEA). The primary objective is

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8

Yudianto, Aan. "Application of Multi-objective Adjoint-based Aerodynamic Optimisation on Generic Road Vehicle with Rear Spoiler." Automotive Experiences 7, no. 1 (2024): 28–47. http://dx.doi.org/10.31603/ae.10577.

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Finding possible solutions where there are multiple conflicting objectives to be simultaneously satisfied is a challenging situation. Multi-objective optimisation of a rear spoiler on a generic road vehicle model is carried out by using adjoint-based optimisation coupled with Computational Fluid Dynamics. The study aims to reduce the vehicle drag and increase vehicle downforce simultaneously by optimising the shape of the spoiler, by allowing the deformation to achieve the most optimised shape assuming no manufacturing constraint. The OpenFOAM software was used for the solver. A strategy for m

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9

Jimenez-Garcia, A., M. Biava, G. N. Barakos, K. D. Baverstock, S. Gates, and P. Mullen. "Tiltrotor CFD Part II - aerodynamic optimisation of tiltrotor blades." Aeronautical Journal 121, no. 1239 (2017): 611–36. http://dx.doi.org/10.1017/aer.2017.21.

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ABSTRACTThis paper presents aerodynamic optimisation of tiltrotor blades with high-fidelity computational fluid dynamics. The employed optimisation framework is based on a quasi-Newton method, and the required high-fidelity flow gradients were computed using a discrete adjoint solver. Single-point optimisations were first performed to highlight the contrasting requirements of the helicopter and aeroplane flight regimes. It is then shown how a trade-off blade design can be obtained using a multi-point optimisation strategy. The parametrisation of the blade shape allowed the twist and chord dist

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10

Paler, Alexandru, and Robert Basmadjian. "Energy Cost of Quantum Circuit Optimisation: Predicting That Optimising Shor’s Algorithm Circuit Uses 1 GWh." ACM Transactions on Quantum Computing 3, no. 1 (2022): 1–14. http://dx.doi.org/10.1145/3490172.

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Quantum circuits are difficult to simulate, and their automated optimisation is complex as well. Significant optimisations have been achieved manually (pen and paper) and not by software. This is the first in-depth study on the cost of compiling and optimising large-scale quantum circuits with state-of-the-art quantum software. We propose a hierarchy of cost metrics covering the quantum software stack and use energy as the long-term cost of operating hardware. We are going to quantify optimisation costs by estimating the energy consumed by a CPU doing the quantum circuit optimisation. We use Q

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11

Cvetkovski, Goga, and Lidija Petkovska. "Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches." Power Electronics and Drives 9, no. 1 (2024): 34–49. http://dx.doi.org/10.2478/pead-2024-0003.

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Abstract Optimisation, or optimal design, has become a fundamental aspect of engineering across various domains, including power devices, power systems, and industrial systems. Engineers and academics have been actively involved in optimising these systems to achieve better performance, efficiency, and cost-effectiveness. Optimising electrical machines, including permanent magnet motors, is a complex task. It often involves solving intricate problems with various parameters and constraints. Engineers use different optimisation methods to tackle these challenges. Depending on the specific requi

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12

Liew, Jaime, Riccardo Riva, Mikkel Friis-Møller, and Tuhfe Göçmen. "Wind Farm Control Optimisation Under Load Constraints Via Surrogate Modelling." Journal of Physics: Conference Series 2767, no. 9 (2024): 092039. http://dx.doi.org/10.1088/1742-6596/2767/9/092039.

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Abstract In the field of wind farm control, wake steering has shown the potential to increase the power output of a wind farm by deflecting wakes away from downstream turbines. However, in some wake steering scenarios, the fatigue damage experienced by the turbines can increase, particularly when the wakes partially overlap a downstream rotor. It is for this reason that fatigue load constraints should be introduced into the control optimisation process. Unfortunately, wind turbine loads are notoriously difficult to predict, requiring expensive aeroelastic simulations. In this study, we present

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13

Grundmann, Jens, Niels Schütze, and Franz Lennartz. "Sustainable management of a coupled groundwater–agriculture hydrosystem using multi-criteria simulation based optimisation." Water Science and Technology 67, no. 3 (2013): 689–98. http://dx.doi.org/10.2166/wst.2012.602.

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In this paper we present a new simulation-based integrated water management tool for sustainable water resources management in arid coastal environments. This tool delivers optimised groundwater withdrawal scenarios considering saltwater intrusion as a result of agricultural and municipal water abstraction. It also yields a substantially improved water use efficiency of irrigated agriculture. To allow for a robust and fast operation we unified process modelling with artificial intelligence tools and evolutionary optimisation techniques. The aquifer behaviour is represented using an artificial

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14

Mounce, S. R., W. Shepherd, S. Ostojin, et al. "Optimisation of a fuzzy logic-based local real-time control system for mitigation of sewer flooding using genetic algorithms." Journal of Hydroinformatics 22, no. 2 (2019): 281–95. http://dx.doi.org/10.2166/hydro.2019.058.

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Abstract Urban flooding damages properties, causes economic losses and can seriously threaten public health. An innovative, fuzzy logic (FL)-based, local autonomous real-time control (RTC) approach for mitigating this hazard utilising the existing spare capacity in urban drainage networks has been developed. The default parameters for the control algorithm, which uses water level-based data, were derived based on domain expert knowledge and optimised by linking the control algorithm programmatically to a hydrodynamic sewer network model. This paper describes a novel genetic algorithm (GA) opti

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15

McGuinness, Justin, and Gareth Thomas. "Optimisation of wave-power arrays without prescribed geometry over incident wave angle." International Marine Energy Journal 4, no. 1 (2021): 1–10. http://dx.doi.org/10.36688/imej.4.1-10.

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This paper describes the optimisation of arrays of wave energy converters (WECs) of point absorber type. The WECs are spherical in shape and operate in heave only. Previous work is extended to an optimisation of array layouts without a prescribed geometry. The objective function is chosen as the mean of the array interaction factor over a prescribed range of incident wave angles. This formulation forces the array to perform optimally over a specified range of wave angle, without direct concern for wavelength variations. Both constrained and unconstrained WEC motions are considered, with constr

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16

Rashid, A. N. M. Bazlur, and Tonmoy Choudhury. "Cooperative Co-Evolution and MapReduce." International Journal of Information Technology Project Management 12, no. 1 (2021): 29–62. http://dx.doi.org/10.4018/ijitpm.2021010102.

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Real-word large-scale optimisation problems often result in local optima due to their large search space and complex objective function. Hence, traditional evolutionary algorithms (EAs) are not suitable for these problems. Distributed EA, such as a cooperative co-evolutionary algorithm (CCEA), can solve these problems efficiently. It can decompose a large-scale problem into smaller sub-problems and evolve them independently. Further, the CCEA population diversity avoids local optima. Besides, MapReduce, an open-source platform, provides a ready-to-use distributed, scalable, and fault-tolerant

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17

McIntyre, Melissa, Puthenparampil Wilson, Peter Gorayski, and Eva Bezak. "A Systematic Review of LET-Guided Treatment Plan Optimisation in Proton Therapy: Identifying the Current State and Future Needs." Cancers 15, no. 17 (2023): 4268. http://dx.doi.org/10.3390/cancers15174268.

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The well-known clinical benefits of proton therapy are achieved through higher target-conformality and normal tissue sparing than conventional radiotherapy. However, there is an increased sensitivity to uncertainties in patient motion/setup, proton range and radiobiological effect. Although recent efforts have mitigated some uncertainties, radiobiological effect remains unresolved due to a lack of clinical data for relevant endpoints. Therefore, RBE optimisations may be currently unsuitable for clinical treatment planning. LET optimisation is a novel method that substitutes RBE with LET, shift

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18

Eisenring, Claudia, Sophy E. Oliver, Samar Khatiwala, and Gregory F. de Souza. "Influence of GEOTRACES data distribution and misfit function choice on objective parameter retrieval in a marine zinc cycle model." Biogeosciences 19, no. 21 (2022): 5079–106. http://dx.doi.org/10.5194/bg-19-5079-2022.

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Abstract. Biogeochemical model behaviour for micronutrients is typically hard to constrain because of the sparsity of observational data, the difficulty of determining parameters in situ, and uncertainties in observations and models. Here, we assess the influence of data distribution, model uncertainty, and the misfit function on objective parameter optimisation in a model of the oceanic cycle of zinc (Zn), an essential micronutrient for marine phytoplankton with a long whole-ocean residence time. We aim to investigate whether observational constraints are sufficient for reconstruction of biog

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19

Hamzah, Amir Izuddin, Norshah Aizat Shuaib, Azwan Iskandar Azmi, Nur’ain Wahidah Ya Omar, and Mohd Haidiezul Jamal Ab Hadi. "EFFECT OF BUILD PARAMETERS ON PROCESS PERFORMANCES AND MECHANICAL PROPERTIES OF PRINTED PRODUCT IN FUSED DEPOSITION MODELLING METHOD." International Journal of Modern Manufacturing Technologies 14, no. 2 (2022): 77–82. http://dx.doi.org/10.54684/ijmmt.2022.14.2.77.

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Fused deposition modelling performances are dominated by selection of process parameters. Multi objective optimisation is essential in ensuring excellent product mechanical properties, surface quality and resource efficiency. This paper presents a preliminary work based on Taguchi orthogonal array design of experiment, considering build orientation, printing angle and layer thickness as the input factors. The build orientation has a significant influence on tensile strength while the layer thickness on energy consumption and printing time. Adverse effects on the responses can be observed durin

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20

Maximov, Jordan, Galya Duncheva, Angel Anchev, Vladimir Dunchev, Vladimir Todorov та Yaroslav Argirov. "Influence of an Ageing Heat Treatment on the Mechanical Characteristics of Iron-Aluminium Bronzes with β-Transformation Obtained via Centrifugal Casting: Modelling and Optimisation". Metals 13, № 12 (2023): 1930. http://dx.doi.org/10.3390/met13121930.

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Aluminium bronzes possess a unique combination of high strength and wear and corrosion resistance in aggressive environments; thus, these alloys find wide application in marine, shipbuilding, aviation, railway, offshore platform applications and other fields. Iron-aluminium bronzes (IABs) are the cheapest and most widely used. When the aluminium content is above 9.4 wt%, IAB is biphasic (i.e., it undergoes β-transformation) and can be subjected to all heat-treatment types, depending on the desired operating behaviour of the bronze component. This article presents correlations (mathematical mod

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21

Bullen, R. D., and N. L. McKenzie. "Aerodynamic cleanliness in bats." Australian Journal of Zoology 56, no. 5 (2008): 281. http://dx.doi.org/10.1071/zo08059.

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In this paper we examine morphometric attributes of the airframes of 24 species of bat from Western Australia. In particular, we consider anatomical features of the ear, head, body and tail related to lift and drag optimisation as well as airflow separation control. We provide an assessment of the relative cleanliness of the species and a range of lift and drag coefficient values for use in metabolic power output modelling. The species assessed have aerodynamic cleanliness optimisations that are appropriate to the range of Reynolds’ numbers in which bats fly. Head/body relative cleanliness was

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22

Sasse, Jana, Malte Schön, and Christian Hopmann. "Static Mixers Producible by Additive Manufacturing: Novel Rapid Automatic Optimisation and Practical Evaluation." Polymers 14, no. 21 (2022): 4646. http://dx.doi.org/10.3390/polym14214646.

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In the extrusion of plastics, the thermal and material homogeneity of the plastic melt at the die entry are of high importance for the extrudate quality. While static mixers are widely used to improve the melt homogeneity, previous attempts at optimisation for reduced pressure loss and improved mixing had to be performed by hand and human experience, limiting the degrees of freedom and efficiency. A new automatic optimisation method based on the open source software OpenFOAM was developed. Using immersed boundary methods, new target functions in the pre-existing routine adjointShapeOptimizatio

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23

Bellotti, Renato, Romana Boiger, and Andreas Adelmann. "Fast, Efficient and Flexible Particle Accelerator Optimisation Using Densely Connected and Invertible Neural Networks." Information 12, no. 9 (2021): 351. http://dx.doi.org/10.3390/info12090351.

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Particle accelerators are enabling tools for scientific exploration and discovery in various disciplines. However, finding optimised operation points for these complex machines is a challenging task due to the large number of parameters involved and the underlying non-linear dynamics. Here, we introduce two families of data-driven surrogate models, based on deep and invertible neural networks, that can replace the expensive physics computer models. These models are employed in multi-objective optimisations to find Pareto optimal operation points for two fundamentally different types of particl

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24

Woods, Freya E. R., Cerys A. Jenkins, Rhys A. Jenkins, Susan Chandler, Dean A. Harris, and Peter R. Dunstan. "Optimised Pre-Processing of Raman Spectra for Colorectal Cancer Detection Using High-Performance Computing." Applied Spectroscopy 76, no. 4 (2022): 496–507. http://dx.doi.org/10.1177/00037028221088320.

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Spectral pre-processing is an essential step in data analysis for biomedical diagnostic applications of Raman spectroscopy, allowing the removal of undesirable spectral contributions that could mask biological information used for diagnosis. However, due to the specificity of pre-processing for a given sample type and the vast number of potential pre-processing combinations, optimisation of pre-processing via a manual “trial and error” format is often time intensive with no guarantee that the chosen method is optimal for the sample type. Here we present the use of high-performance computing (H

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25

Langenbucher, Achim, Nóra Szentmáry, Alan Cayless, Jascha Wendelstein, and Peter Hoffmann. "Formula constant optimisation techniques including variation of keratometer or corneal refractive index and consideration for classical and modern IOL formulae." PLOS ONE 18, no. 2 (2023): e0282213. http://dx.doi.org/10.1371/journal.pone.0282213.

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Background To investigate whether variation of the keratometer/corneal refractive index nK/nC improves the performance (prediction error PE) of classical and a modern intraocular lens (IOL) power calculation formula and further, to establish whether any trend error of PE for corneal radius R could be eliminated using formula constant and nK/nC optimisation. Methods Based on 2 large datasets (1: N = 888 Hoya Vivinex aberration-correcting and 2: N = 822 Alcon SA60AT spherical lens) a classical formula constant optimisation has been performed for the Hoffer Q, Holladay 1, Haigis and Castrop formu

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26

Chiu, Louis N. S., Daniel Stojanov, Bernard Rolfe, and Wen Yi Yan. "Effect of Optimisation Parameters in Topology Optimisation." Key Engineering Materials 725 (December 2016): 529–34. http://dx.doi.org/10.4028/www.scientific.net/kem.725.529.

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The Bi-directional Evolutionary Structural Optimisation (BESO) method had been used by many authors for the optimisation of structures. This work sets out to investigate the effect of key optimisation parameters utilized in the BESO method, the evolution rate and the filter radius, on the outcome of the optimisation. An understanding of the interaction of these factors in the optimisation process enables a more efficient way to produce optimised components that can fully capitalise on the capabilities of additive manufacturing.

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27

Deep, Kusum, and Jagdish Chand Bansal. "Mean particle swarm optimisation for function optimisation." International Journal of Computational Intelligence Studies 1, no. 1 (2009): 72. http://dx.doi.org/10.1504/ijcistudies.2009.025339.

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Noshokaty, Said El. "Shipping optimisation systems (SOS): liner optimisation perspective." International Journal of Shipping and Transport Logistics 5, no. 3 (2013): 237. http://dx.doi.org/10.1504/ijstl.2013.054189.

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Moigne, A. Le, and N. Qin. "Aerofoil profile and sweep optimisation for a blended wing-body aircraft using a discrete adjoint method." Aeronautical Journal 110, no. 1111 (2006): 589–604. http://dx.doi.org/10.1017/s0001924000001457.

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Abstract Aerodynamic optimisations of a blended wing-body (BWB) aircraft are presented. A discrete adjoint solver is used to calculate efficiently the gradients, which makes it possible to optimise for a large number of design variables. The optimisations employ either a variable-fidelity method that combines low- and high-fidelity models or a direct sequential quadratic programming (SQP) method. Four Euler optimisations of a BWB aircraft are then presented. The optimisation is allowed to change a series of master sections defining the aircraft geometry as well as the sweep angle on the outer

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Ovesná, J., K. Poláková, L. Kučera, and J. Rulcová. "SNP Typing in Cereals: Comparison of SSCP and SNaPShot Markers Using the Barley Mlo Locus as a Model." Czech Journal of Genetics and Plant Breeding 39, No. 4 (2011): 109–12. http://dx.doi.org/10.17221/3727-cjgpb.

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We compared the applicability of SSCP and SNaPShot markers in barley Mlo loci as a model of SNP detection in cereals. Whereas the development of SSCP markers required optimisation steps, the ddNTP primer extension (SNaPShot) procedure based on knowledge of target sequence provided expected results without any previous optimisations. We have shown, that SNPs can be easily scored using the ABI PRISM 310 Genetic Analyser. &nbsp;

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Das, Debasish, Sanjib Jaypuria, Dilip Kumar Pratihar, and Gour Gopal Roy. "Weld optimisation." Science and Technology of Welding and Joining 26, no. 3 (2021): 181–95. http://dx.doi.org/10.1080/13621718.2021.1872856.

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Hall, Julie. "Medicines optimisation." Primary Health Care 23, no. 3 (2013): 22–24. http://dx.doi.org/10.7748/phc2013.04.23.3.22.e739.

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Makombe, Rachel. "Medicines optimisation." Nursing Standard 30, no. 44 (2016): 64–65. http://dx.doi.org/10.7748/ns.30.44.64.s47.

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Raz, Bing. "Medicines optimisation." Nursing Standard 31, no. 39 (2017): 64–65. http://dx.doi.org/10.7748/ns.31.39.64.s48.

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McKeever, Luke. "Data optimisation." Journal of Direct, Data and Digital Marketing Practice 9, no. 4 (2008): 363–70. http://dx.doi.org/10.1057/dddmp.2008.2.

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36

Delahaye, Jean-Paul. "Optimisation impossible." ESAIM: Mathematical Modelling and Numerical Analysis 19, no. 2 (1985): 213–33. http://dx.doi.org/10.1051/m2an/1985190202131.

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Harten, J., and J. Kinsella. "Perioperative Optimisation." Scottish Medical Journal 49, no. 1 (2004): 6–9. http://dx.doi.org/10.1177/003693300404900102.

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Alber, M. "Robust optimisation." Physica Medica 31 (November 2015): e24-e25. http://dx.doi.org/10.1016/j.ejmp.2015.10.006.

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39

Dowsland, Kathryn, and Bill Dowsland. "Combinatorial Optimisation." OR Insight 15, no. 3 (2002): 2–3. http://dx.doi.org/10.1057/ori.2002.10.

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40

Kemp, Simon. "Simple optimisation." Behavioural Processes 69, no. 2 (2005): 131–32. http://dx.doi.org/10.1016/j.beproc.2005.02.011.

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41

Medoh, Chuks Nnamdi, and Arnesh Telukdarie. "Logistics Optimisation." International Journal of Business Analytics 7, no. 1 (2020): 54–76. http://dx.doi.org/10.4018/ijban.2020010104.

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Анотація:

Contemporary multinationals exist in a dynamic digital age in which business units direct enormous attention to technological solutions and business challenges, especially logistics. Business units aim for solutions that are relatively effective to implement, in relation to solving business challenges ensuring sustainability. This research seeks to present value add relative to business process optimisation model based on 4IR (Fourth Industrial Revolution) implementations, specific to multinational logistics optimisation. The onset of the 4IR has advanced businesses significantly, specifically

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42

Aickelin, Uwe, and Alistair Clark. "Heuristic optimisation." Journal of the Operational Research Society 62, no. 2 (2011): 251–52. http://dx.doi.org/10.1057/jors.2010.160.

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43

Aspinall, David, Lennart Beringer, and Alberto Momigliano. "Optimisation Validation." Electronic Notes in Theoretical Computer Science 176, no. 3 (2007): 37–59. http://dx.doi.org/10.1016/j.entcs.2006.06.017.

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Mohamad Saleh, Junita, and Weng Hooi Tan. "Alligator Optimisation algorithm for solving unconstrainted optimisation problems." International Journal of Bio-Inspired Computation 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijbic.2022.10049859.

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45

Wei, Zhan Hong, Yu Liu, Guo Xin Zhao, and Yu Bao Song. "Social emotional optimisation algorithm for reactive power optimisation." International Journal of Wireless and Mobile Computing 10, no. 4 (2016): 351. http://dx.doi.org/10.1504/ijwmc.2016.078205.

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46

Lin, Min, Yiwen Zhong, Juan Lin, and Xiaoyu Lin. "Enhanced chicken swarm optimisation for function optimisation problem." International Journal of Wireless and Mobile Computing 15, no. 3 (2018): 258. http://dx.doi.org/10.1504/ijwmc.2018.096009.

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47

Lin, Xiaoyu, Juan Lin, Min Lin, and Yiwen Zhong. "Enhanced chicken swarm optimisation for function optimisation problem." International Journal of Wireless and Mobile Computing 15, no. 3 (2018): 258. http://dx.doi.org/10.1504/ijwmc.2018.10017126.

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48

Ramezani, Pezhman, Milad Ahangaran, and Xin She Yang. "Constrained optimisation and robust function optimisation with EIWO." International Journal of Bio-Inspired Computation 5, no. 2 (2013): 84. http://dx.doi.org/10.1504/ijbic.2013.053505.

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49

Jordehi, A. Rezaee. "Seeker optimisation (human group optimisation) algorithm with chaos." Journal of Experimental & Theoretical Artificial Intelligence 27, no. 6 (2015): 753–62. http://dx.doi.org/10.1080/0952813x.2015.1020568.

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50

Tan, Weng Hooi, and Junita Mohamad Saleh. "Alligator optimisation algorithm for solving unconstrainted optimisation problems." International Journal of Bio-Inspired Computation 21, no. 1 (2023): 11. http://dx.doi.org/10.1504/ijbic.2023.130025.

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