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Journal articles on the topic 'Simultaneous optimisation'

Author: Grafiati

Published: 19 February 2023

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1

Bansal, V., J. D. Perkins, E. N. Pistikopoulos, R. Ross, and J. M. G. van Schijndel. "Simultaneous design and control optimisation under uncertainty." Computers & Chemical Engineering 24, no. 2-7 (July 2000): 261–66. http://dx.doi.org/10.1016/s0098-1354(00)00475-0.

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Bliss, P. J., E. R. Ostarcevic, and A. A. Potter. "Process optimisation for simultaneous biological nitrification and chemical phosphorus removal." Water Science and Technology 29, no. 12 (December 1, 1994): 107–15. http://dx.doi.org/10.2166/wst.1994.0591.

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Environmental regulations require sewage treatment plants originally designed for BOD and suspended solids removal to meet increasingly stringent effluent ammonia and total phosphorus standards. Operating a biological nitrification process in parallel with chemical phosphorus removal to achieve consistent effluent concentrations less than 1mg/L was successfully achieved through process optimisation. An optimisation program was developed and implemented which effectively allowed the combination of two essentially conflicting processes to produce high quality effluent. The process optimisation program utilised a structured approach to identify process deficiencies which reduced treatment capacity and reliability. Accurate identification of process deficiencies enabled appropriate solutions to be developed and implemented. Additional monitoring quantified improvements arising from process modifications or revised operating procedures. The average effluent ammonia concentration between June and September 1990 was 23.8mg/L. This was reduced to 0.6mg/L after optimisation in October 1992. The standard deviation of 3.4mg/L during the baseline monitoring program between February and April 1992 was reduced to 0.4mg/L after optimisation, at much lower mixed liquor temperatures. Similarly, the average effluent phosphorus concentration was reduced from 1.1mg/L with a standard deviation of 0.8mg/L to an average value of 0.6mg/L with a standard deviation of 0.3mg/L. Understanding process operations, combined with the ability to identify process deficiencies resulting from poor operating practices and environmental conditions, reduces the risk of generating poor effluent quality. The performance of any treatment process can derive significant benefits by implementing an effective process optimisation program. This work established that reliable process performance is possible, provided that process deficiencies are identified, and appropriate solutions are implemented and evaluated.

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3

Caivano, R., A. Tridello, D. Paolino, and G. Chiandussi. "Topology and fibre orientation simultaneous optimisation: A design methodology for fibre-reinforced composite components." Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 234, no. 9 (June 18, 2020): 1267–79. http://dx.doi.org/10.1177/1464420720934142.

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Additive manufacturing for fibre-reinforced composite structures is rapidly diffusing, since it enables the production of lightweight structural parts characterized by complex geometries and tailored fibre orientations. Therefore, the development of design methodologies capable to simultaneously optimize the shape of the fibre-reinforced composite part and the fibre orientation in the additive manufacturing process is, at present, of utmost interest among industries and research centres. In this paper, a novel simultaneous optimisation method capable to optimise the topology and the local fibre orientation is proposed. The method is computationally cheap, fast convergent and permits to avoid stress peaks, working efficiently on 2D and on 3D models. The analytical formulation of the problem and the optimisation algorithm are at first described. The optimisation criteria are based on the uniform strain energy density distribution and the fibre alignement along the principal stress direction. The proposed method is then verified with several benchmarks from the literature and with a 3D illustrative example, confirming that it can be effectively and efficiently employed for the optimisation of composite components to be produced through additive manufacturing.

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Kok, Ka Yee, Hieng Ho Lau, Thanh Duoc Phan, and TIina Chui Huon Ting. "Design optimisation for cold-formed steel residential roof truss using genetic algorithm." World Journal of Engineering 15, no. 5 (October 1, 2018): 575–83. http://dx.doi.org/10.1108/wje-10-2017-0322.

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Purpose This paper aims to present the design optimisation using genetic algorithm (GA) to achieve the highest strength to weight (S/W) ratio, for cold-formed steel residential roof truss. Design/methodology/approach The GA developed in this research simultaneously optimises roof pitch, truss configurations, joint coordinates and applied loading of typical dual-pitched symmetrical residential roof truss. The residential roof truss was considered with incremental uniform distributed loading, in both gravitational and uplift directions. The structural analyses of trusses were executed in this GA using finite element toolbox. The ultimate strength and serviceability of trusses were checked through the design formulation implemented in GA, according to the Australian standard, AS/NZS 4600 Cold-formed Steel Structures. Findings An optimum double-Fink roof truss which possess highest S/W ratio using GA was determined, with optimum roof pitch of 15Â°. The optimised roof truss is suitable for industrial application with its higher S/W ratio and cost-effectiveness. The combined methodology of multi-level optimisation and simultaneous optimisation developed in this research could determine optimum roof truss with consistent S/W ratio, although with huge GA search space. Research limitations/implications The sizing of roof truss member is not optimised in this paper. Only single type of cold-formed steel section is used throughout the whole optimisation. The design of truss connection is not considered in this paper. The corresponding connection costs are not included in the proposed optimisation. Practical implications The optimum roof truss presented in this paper is suitable for industrial application with higher S/W ratio and lower cost, in either gravitational or uplift loading configurations. Originality/value This research demonstrates the approaches in combining multi-level optimisation and simultaneous optimisation to handle large number of variables and hence executed an efficient design optimisation. The GA designed in this research determines the optimum residential roof truss with highest S/W ratio, instead of lightest truss weight in previous studies.

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Tovar, Andres, Nelson Arzola de la Peña, and Alexander Gómez Cassab. "Multidisciplinary design optimisation techniques." Ingeniería e Investigación 27, no. 1 (January 1, 2007): 84–92. http://dx.doi.org/10.15446/ing.investig.v27n1.14785.

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Design optimisation of a multidisciplinary project in engineering involves the decomposition of a system into disciplines and the subsequent association of their contributions. This work was aimed at presenting the most common decomposition and association techniques currently used in multidisciplinary design optimisation (MDO). Amongst the decomposition techniques this work includes hierarchical and non-hierarchical approaches as well as the most popular numerical procedures. The association techniques include: one-level methods (e.g. all-at-once optimisation and simultaneous analysis and design), multilevel methods (e.g. concurrent subspace optimisation and collaborative optimisation) and robust design. This work also incorporates an illustrative numerical example.

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Mahmoudi, Salah, Ezzeddine Srasra, and Fouad Zargouni. "SIMULTANEOUS OPTIMISATION OF DRYING PARAMETERS OF CERAMIC BODIES." American Journal of Geoscience 4, no. 1 (January 1, 2014): 1–7. http://dx.doi.org/10.3844/ajgsp.2014.1.7.

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Oke, Doris, Thokozani Majozi, Rajib Mukherjee, Debalina Sengupta, and Mahmoud El-Halwagi. "Simultaneous Energy and Water Optimisation in Shale Exploration." Processes 6, no. 7 (July 6, 2018): 86. http://dx.doi.org/10.3390/pr6070086.

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Lu, A., G. Stenz, H. Eisenmann, and F. M. Johannes. "Technology mapping for simultaneous gate and interconnect optimisation." IEE Proceedings - Computers and Digital Techniques 146, no. 1 (1999): 21. http://dx.doi.org/10.1049/ip-cdt:19990245.

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John, Boby, and Pooja Mansharamani. "An application of fuzzy optimisation methodology for simultaneous optimisation of continuous and categorical characteristics." International Journal of Quality Engineering and Technology 7, no. 3 (2019): 298. http://dx.doi.org/10.1504/ijqet.2019.104885.

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Zhang, Qingxia, Łukasz Jankowski, and Zhongdong Duan. "Simultaneous Identification of Moving Vehicles and Bridge Damages Considering Road Rough Surface." Mathematical Problems in Engineering 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/963424.

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A method for the simultaneous identification of moving vehicles and the damages of the supporting structure from measured responses is presented. A two-axle vehicle model with two degrees of freedom (DOF) is adopted. The extent of the damage and the vehicle parameters were chosen as the optimisation variables, which allow ill conditioning to be avoided and decrease the number of sensors required. The identification is performed by minimising the distance between the measured responses and the computed responses to given optimisation variables. The virtual distortion method (VDM) was used, such that the response of the damaged structure can be computed from comparison with the intact structure subjected to the same vehicle excitation and to the response-coupled virtual distortions. These are related to the optimisation variables by the system impulse response matrix and are expressed by a linear system, which allowed both types of optimisation variables to be treated in a unified way. The numerical cost is reduced by using a moving influence matrix. The adjoint variable method is used for fast sensitivity analysis. A three-span bridge numerical example is presented, where the identification was verified with 5% root mean square (RMS) measurement, and model, error whilst also considering the surface roughness of the road.

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Noilublao, Norapat, and Sujin Bureerat. "Simultaneous Topology, Shape, and Sizing Optimisation of Plane Trusses with Adaptive Ground Finite Elements Using MOEAs." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/838102.

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This paper proposes a novel integrated design strategy to accomplish simultaneous topology shape and sizing optimisation of a two-dimensional (2D) truss. An optimisation problem is posed to find a structural topology, shape, and element sizes of the truss such that two objective functions, mass and compliance, are minimised. Design constraints include stress, buckling, and compliance. The procedure for an adaptive ground elements approach is proposed and its encoding/decoding process is detailed. Two sets of design variables defining truss layout, shape, and element sizes at the same time are applied. A number of multiobjective evolutionary algorithms (MOEAs) are implemented to solve the design problem. Comparative performance based on a hypervolume indicator shows that multiobjective population-based incremental learning (PBIL) is the best performer. Optimising three design variable types simultaneously is more efficient and effective.

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12

Becker, R. G., B. Dwolatzky, E. Karakitsos, and B. Rustem. "The Simultaneous Use of Rival Models in Policy Optimisation." Economic Journal 96, no. 382 (June 1986): 425. http://dx.doi.org/10.2307/2233125.

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13

Deiters, Julia, Wojciech Kowalczyk, and Tobias Seidl. "Simultaneous optimisation of earwig hindwings for flight and folding." Biology Open 5, no. 5 (April 25, 2016): 638–44. http://dx.doi.org/10.1242/bio.016527.

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14

Liu, Xiaojian, and David William Begg. "On simultaneous optimisation of smart structures – Part I: Theory." Computer Methods in Applied Mechanics and Engineering 184, no. 1 (March 2000): 15–24. http://dx.doi.org/10.1016/s0045-7825(99)00010-9.

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15

Mihail, Laurentiu A. "ROBUST ENGINEERING CASE STUDY FOR SIMULTANEOUS PARAMETER OPTIMIZATION OF A DEEP DRILLING PROCESS." International Journal "Advanced Quality" 45, no. 1 (June 19, 2017): 27. http://dx.doi.org/10.25137/ijaq.n1.v45.y2017.p27-34.

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The paper reflects de overall results of an experiment developed for optimising a deep peck drilling process, using an extra-long flute drill. The problem stated was the dimensional, geometrical and orientation accuracy of the holes machined by the previously mentioned machining method. The target was to improve the quality of the machined parts and to reach the maximum productivity in the same time. The optimisation method used was the Taguchi Method, with a L423 fractionated factorial array. Another important issue was to optimise several quality characteristics, simultaneously. After machining the test part on a high-speed machining flexible system, the parts were measured on a coordinate measuring machine. Finally, the data was computed assisted by an advanced quality software. The simultaneous optimisation was achieved by validated method, through several iterations based on advanced process and design of experiments knowledge. Finally, the conclusions were compared with another results, from the same research program, validating it.

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Kianifar, Mohammed Reza, and Felician Campean. "Global Optimisation of Car Front-End Geometry to Minimise Pedestrian Head Injury Levels." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 2873–82. http://dx.doi.org/10.1017/dsi.2019.294.

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AbstractThe paper presents a multidisciplinary design optimisation strategy for car front-end profile to minimise head injury criteria across pedestrian groups. A hybrid modelling strategy was used to simulate the car- pedestrian impact events, combining parametric modelling of front-car geometry with pedestrian models for the kinematics of crash impact. A space filling response surface modelling strategy was deployed to study the head injury response, with Optimal Latin Hypercube (OLH) Design of Experiments sampling and Kriging technique to fit response models. The study argues that the optimisation of the front-end car geometry for each of the individual pedestrian models, using evolutionary optimisation algorithms is not an effective global optimization strategy as the solutions are not acceptable for other pedestrian groups. Collaborative Optimisation (CO) multidisciplinary design optimisation architecture is introduced instead as a global optimisation strategy, and proven that it can enable simultaneous minimisation of head injury levels for all the pedestrian groups, delivering a global optimum solution which meets the safety requirements across the pedestrian groups.

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Maciejewski, Igor. "A Method for Shaping the Dynamic Characteristics of Vibration Isolation Systems." Solid State Phenomena 198 (March 2013): 615–20. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.615.

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In this paper a method for shaping the dynamic characteristics of vibration isolation systems is presented. The multi-criteria optimisation procedure is utilized in order to find the Pareto-optimal system configuration with simultaneous minimization of conflicted optimisation criteria: the isolated body acceleration and suspension travel. As an example of the proposed method, the seat with a pneuma-hydraulic suspension is investigated and its vibro-isolation properties are shaped by an appropriate selection of the system characteristics. The basic findings of the paper consist in the optimisation procedure that takes into account the nonlinear dynamic behaviour of vibration isolation systems.

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18

Soeny, Kabir, Barbara Bogacka, and Byron Jones. "Dose optimisation with simultaneous pharmacokinetic estimation in adaptive clinical trials." Statistical Methods in Medical Research 29, no. 4 (June 7, 2019): 1149–66. http://dx.doi.org/10.1177/0962280219852582.

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Determination of the optimal dose is a critical objective in the drug developmental process. An optimal dose prevents over- and under-exposure to the treatment drug thereby facilitating superior patient experience and reduced costs to the healthcare system. In this paper, we present a method for model-based dose optimisation with simultaneous pharmacokinetic estimation of the model parameters. Multiple doses of the drug are considered and the objective is to maintain the blood concentration of the drug around a pre-decided target concentration. We consider an adaptive setting wherein the model parameters are estimated from the blood samples collected at D-optimal time points from all subjects enrolled so far in the trial. The estimated parameters are then used to determine the optimal dose regimen for the next cohort. This procedure continues until the condition of a pre-decided stopping rule is met. Simulation studies and sensitivity analysis are undertaken to validate the methodology. We also evaluate the performance of the methodology when carried out in a non-adaptive setting. A two-stage design is then presented which combines the advantages of the adaptive as well as the non-adaptive approach. We demonstrate that our methodology enables pharmacokinetic estimation and dose regimen optimisation simultaneously in an ethical and cost-effective manner protecting the subjects from the ill-effects of suboptimal dose regimens and economising the number of subjects required in the trial.

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19

Süer, Gürsel A., Can Çelikbilek, and Melih Altun. "Simultaneous optimisation of cell loading and transportation method selection decisions." International Journal of Business Performance and Supply Chain Modelling 7, no. 4 (2015): 382. http://dx.doi.org/10.1504/ijbpscm.2015.073777.

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Yassine, Ali A., Rawia H. Chidiac, and Ibrahim H. Osman. "Simultaneous optimisation of products, processes, and people in development projects." Journal of Engineering Design 24, no. 4 (April 2013): 272–92. http://dx.doi.org/10.1080/09544828.2012.727206.

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Jayachandran, K. P., J. M. Guedes, and H. C. Rodrigues. "Simultaneous optimisation of orientation and constituent volume in piezoelectric composites." Journal of Materials Science 51, no. 6 (December 7, 2015): 3069–79. http://dx.doi.org/10.1007/s10853-015-9617-5.

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Little, J., E. Topal, and P. Knights. "Simultaneous optimisation of stope layouts and long term production schedules." Mining Technology 120, no. 3 (September 2011): 129–36. http://dx.doi.org/10.1179/1743286311y.0000000011.

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23

Kłosowski, Grzegorz, Arkadiusz Gola, and Antoni Świć. "Human Resource Selection for Manufacturing System Using Petri Nets." Applied Mechanics and Materials 791 (September 2015): 132–40. http://dx.doi.org/10.4028/www.scientific.net/amm.791.132.

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Proper selection of personnel constitutes a frequent challenge for the management of many enterprises. In this paper the above problem has been defined using three objective functions which required simultaneous optimisation. To solve this problem, computer modelling based on Petri nets was proposed. The model was subjected to iterative computer simulation, during which various variants of workstation assignment were tested. This resulted in the emergence of a variant which best fulfilled the assumed optimisation criteria.

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Caseiro, João F. M., Robertt Angelo Fontes Valente, António Andrade-Campos, and Renato Natal Jorge. "Optimisation of Tubular Hydroforming Processes for Wrinkling and Thinning Control." Key Engineering Materials 473 (March 2011): 159–67. http://dx.doi.org/10.4028/www.scientific.net/kem.473.159.

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This paper is focused on the development and implementation of an innovative optimisation algorithm for the wrinkling and thinning control during the hydroforming of complex metallic parts. A straightforward numerical algorithm for simultaneous tracking and evaluation of the initiation of wrinkling/thinning defects was implemented, together with a numerical simulation program based on the Finite Element Method (FEM). After undesirable wrinkling/thinning patterns are identified during FEM simulation, the developed optimisation procedure (called Hybrid Differential Evolution Particle Swarm Optimisation - HDEPSO) is responsible to automatically correct the process input parameters, in order to achieve the successful forming of the desired part. In the end, the combined procedure (optimisation methodology + FEM) proved to be able to lead to a suitable numerical simulation and design tool for industrial hydroformed metallic tubular parts.

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Barkoutsos, Panagiotis Kl, Fotios Gkritsis, Pauline J. Ollitrault, Igor O. Sokolov, Stefan Woerner, and Ivano Tavernelli. "Quantum algorithm for alchemical optimization in material design." Chemical Science 12, no. 12 (2021): 4345–52. http://dx.doi.org/10.1039/d0sc05718e.

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‘Alchemical’ quantum algorithm for the simultaneous optimisation of chemical composition and electronic structure for material design. By exploiting quantum mechanical principles this approach will boost drug discovery in the near future.

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CHODANKAR, REHA S., and ASISH DEV. "Optimisaton techniques: a futuristic approach for formulating and processing of pharmaceuticals." Indian Journal of Pharmaceutical and Biological Research 4, no. 2 (June 30, 2016): 32–40. http://dx.doi.org/10.30750/ijpbr.4.2.5.

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Designing and formulating an ideal pharmaceutical product is a very tedious job for a formulator as it comprises of multiple objectives. The traditional method followed for years is not only expensive and time consuming but it also needs lot of effort to be put in and in spite of that at times it proves to be unfavourable and unpredictable too.The recent approach to optimise i.e. to achieve the best combination of product and process characteristics under the given conditions is by using Design of Experiment (DoE).Design of Experiment (DoE) is an organised approach to determine the relationship between the factors (Xs) affecting a process and the output of that process (Ys).The recent optimisation methodologies include various approaches that come under the 2 main categories namely, simultaneous optimisation and sequential optimisation. Nowadays there are various software available to carry out the optimisation of pharmaceutical products.

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Grant, Andrew, and Peter W. Buchen. "A COMPARISON OF SIMULTANEOUS KELLY BETTING STRATEGIES." Journal of Gambling Business and Economics 6, no. 2 (January 2, 2013): 1–28. http://dx.doi.org/10.5750/jgbe.v6i2.579.

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In this paper we consider the problem of Kelly betting on simultaneous games, and the relative performance of betting strategies that use multibets compared to those that do not. We develop a simulation model based on the Dirichlet distribution to test the performance of three Kelly betting strategies using the empirical odds distribution from the 2007-08 English Premier League Season. This model allows us to control for the size of a bettor’s edge and the noise of this edge. The simulation results suggest that the Kelly using multibets of all levels outperforms the portfolio optimisation approach of betting on single game outcomes only. We also provide a discussion regarding the practicalities of implementing the strategies.

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Seyedpoor, S. M., S. Gholizadeh, and S. R. Talebian. "An efficient structural optimisation algorithm using a hybrid version of particle swarm optimisation with simultaneous perturbation stochastic approximation." Civil Engineering and Environmental Systems 27, no. 4 (December 2010): 295–313. http://dx.doi.org/10.1080/10286600902998526.

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Thauré, David, Cyrille Lemoine, Olivier Daniel, Nader Moatamri, and Julien Chabrol. "Optimisation of aeration for activated sludge treatment with simultaneous nitrification denitrification." Water Science and Technology 58, no. 3 (August 1, 2008): 639–45. http://dx.doi.org/10.2166/wst.2008.682.

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Following a promising study at pilot scale a new aeration control law has been implemented at a full scale wastewater treatment plant displaying a conventional activated sludge process. The new control law is based on the direct measurements of ammonium and nitrate concentration in the biological tank by ion selective electrodes. This control law features a cascade of two Predictive Function Controls and calculates an optimal air flow rate to be provided to the biomass through fine bubble diffusers. The results obtained at the full scale plant confirmed the high performance of this control strategy allowing to substantially reduce the amount of diffused air while providing an easy means to manage the effluent quality to the plant operator.

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Ibrić, Nidret, Elvis Ahmetović, Zdravko Kravanja, and Ignacio E. Grossmann. "Simultaneous optimisation of large-scale problems of heat-integrated water networks." Energy 235 (November 2021): 121354. http://dx.doi.org/10.1016/j.energy.2021.121354.

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Williams, A. C., A. D. Brown, and M. Zwolinski. "Simultaneous optimisation of dynamic power, area and delay in behavioural synthesis." IEE Proceedings - Computers and Digital Techniques 147, no. 6 (2000): 383. http://dx.doi.org/10.1049/ip-cdt:20000807.

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Wang, I. Jeng, and James C. Spall. "Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions." International Journal of Control 81, no. 8 (August 2008): 1232–38. http://dx.doi.org/10.1080/00207170701611123.

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Huang, Shoudong. "A review of optimisation strategies used in simultaneous localisation and mapping." Journal of Control and Decision 6, no. 1 (November 29, 2018): 61–74. http://dx.doi.org/10.1080/23307706.2018.1552207.

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Nguyen, Tin, Kazem Ghabraie, and Thanh Tran-Cong. "Simultaneous pattern and size optimisation of rock bolts for underground excavations." Computers and Geotechnics 66 (May 2015): 264–77. http://dx.doi.org/10.1016/j.compgeo.2015.02.007.

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Sepúlveda-Cervantes, Cynthia V., Eduardo Soto-Regalado, Pasiano Rivas-García, Margarita Loredo-Cancino, Felipe dJ Cerino-Córdova, and Refugio B. García Reyes. "Technical-environmental optimisation of the activated carbon production of an agroindustrial waste by means response surface and life cycle assessment." Waste Management & Research: The Journal for a Sustainable Circular Economy 36, no. 2 (November 30, 2017): 121–30. http://dx.doi.org/10.1177/0734242x17741680.

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In this study, a simultaneous optimisation of technical and environmental parameters for activated carbon production from soybean shells is presented. A 23 factorial design was developed to explore the performance of the technical responses yield and iodine number, and the single score of ReCiPe endpoint method, which was evaluated by means the life cycle assessment. The independent factors included in the design of experiments were the impregnation ratio, temperature, and time activation. Three quadratic equations were obtained and simultaneously optimised by maximisation of the overall desirability function. The principal results of the individual responses indicate that the iodine number is practically independent of the activation temperature in a range of 450 ºC–650 ºC; the yield is inversely proportional to activation time and exhibits minimum values between 500 ºC–600 ºC; and the environmental response single score presents the lowest value at a temperature and time activation of 450 ºC and 30 min, respectively. The most polluting stage of activated carbon production from soybean shells production is the impregnation stage, mainly for the use of ZnCl2 as activating agent and the energy consumption. The simultaneous optimisation of the three responses indicates that the optimal activated carbon should be produced at 180 min, 650 ºC, and an impregnation ratio of 1 g soybean shell g ZnCl2-1.

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Gutierrez, Oriol, Luke Sutherland-Stacey, and Zhiguo Yuan. "Simultaneous online measurement of sulfide and nitrate in sewers for nitrate dosage optimisation." Water Science and Technology 61, no. 3 (February 1, 2010): 651–58. http://dx.doi.org/10.2166/wst.2010.901.

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A new method for the simultaneous online measurement of sulfide and nitrate in wastewater is developed. A UV-VIS spectrometer was used. The sensor was calibrated by means of simultaneous online and offline measurements of sulfide and nitrate in batch tests carried out on a laboratory-scale sewer system. The developed calibration algorithm was successfully validated for both sulfide and nitrate measurement, with confidence limits of 2.7 mg S/L for total dissolved sulfide, and 7.5 mg N/L for nitrate. The online measurement of sulfide and nitrate enabled detailed evaluation of seven nitrate dosing strategies in the laboratory-scale sewer system, providing strong support to process optimisation. The dosage optimisation revealed that nitrate should be added at a location close to the point of sulfide control rather than at the beginning of a rising main, at a rate proportional to the expected hydraulic retention time (HRT) of the wastewater in the sewer section between the point of nitrate addition and the point where sulfide control is desired.

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Mazur, Alexander V., Michael M. Gasik, and Vladislav I. Mazur. "Study of Ti–Si in situ composite processing by multi-stage eutectic solidification." International Journal of Materials Research 95, no. 5 (May 1, 2004): 377–80. http://dx.doi.org/10.1515/ijmr-2004-0079.

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Abstract A titanium composite alloy (Ti –Al –Si – Zr) manufacturing process using eutectic solidification was studied by simultaneous thermal analysis up to 1480 °C. Phase transformations predicted by sections of the phase stability diagram (ThermoCalc optimisation) have been observed. The structure of the alloy was also studied by scanning electron microscopy (SEM), light optical microscopy (LOM) and X-ray microanalysis. Several patterns, unexplained on the basis of the stable phase diagrams of the system, are revealed to be associated with metastable phase transformations. The results can be used for a determination of composite applications and the optimisation of its casting technology.

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Natalia, Christine, Michael Holine, and Agustinus Silalahi. "A simultaneous container assignment and ship scheduling optimisation model in container shipping." Asian Journal of Shipping and Logistics 37, no. 3 (September 2021): 213–19. http://dx.doi.org/10.1016/j.ajsl.2021.05.002.

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Vitsas, V., and A. C. Boucouvalas. "Simultaneous optimisation of window and frame size for maximum throughput IrDA links." Electronics Letters 37, no. 16 (2001): 1042. http://dx.doi.org/10.1049/el:20010678.

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Dunning, P. D., C. J. Brampton, and H. A. Kim. "Simultaneous optimisation of structural topology and material grading using level set method." Materials Science and Technology 31, no. 8 (May 14, 2015): 884–94. http://dx.doi.org/10.1179/1743284715y.0000000022.

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Jeang, Angus. "Robust optimisation for simultaneous process mean, process tolerance and product specification determination." International Journal of Computer Integrated Manufacturing 27, no. 11 (January 27, 2014): 1008–21. http://dx.doi.org/10.1080/0951192x.2013.874578.

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42

Soltesz, Kristian, Chriss Grimholt, and Sigurd Skogestad. "Simultaneous design of proportional–integral–derivative controller and measurement filter by optimisation." IET Control Theory & Applications 11, no. 3 (February 3, 2017): 341–48. http://dx.doi.org/10.1049/iet-cta.2016.0297.

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Pellegrini, Paola, Tatjana Bolić, Lorenzo Castelli, and Raffaele Pesenti. "SOSTA: An effective model for the Simultaneous Optimisation of airport SloT Allocation." Transportation Research Part E: Logistics and Transportation Review 99 (March 2017): 34–53. http://dx.doi.org/10.1016/j.tre.2016.12.006.

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Aggarwal, Aman, Hari Singh, Pradeep Kumar, and Manmohan Singh. "Simultaneous optimisation of conflicting responses for CNC turned parts using desirability function." International Journal of Manufacturing Technology and Management 18, no. 3 (2009): 319. http://dx.doi.org/10.1504/ijmtm.2009.026392.

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Durán-Rosal, Antonio Manuel, Pedro Antonio Gutiérrez, Francisco José Martínez-Estudillo, and César Hérvas-Martínez. "Simultaneous optimisation of clustering quality and approximation error for time series segmentation." Information Sciences 442-443 (May 2018): 186–201. http://dx.doi.org/10.1016/j.ins.2018.02.041.

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Zhang, Wei, Yan Lin, Qi Zhang, Xinze Wang, Deyi Wu, and Hainan Kong. "Optimisation of simultaneous saccharification and fermentation of wheat straw for ethanol production." Fuel 112 (October 2013): 331–37. http://dx.doi.org/10.1016/j.fuel.2013.05.064.

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47

Lowther, Aaron P., Paul Fearnhead, Matthew A. Nunes, and Kjeld Jensen. "Semi-automated simultaneous predictor selection for regression-SARIMA models." Statistics and Computing 30, no. 6 (September 4, 2020): 1759–78. http://dx.doi.org/10.1007/s11222-020-09970-6.

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Abstract Deciding which predictors to use plays an integral role in deriving statistical models in a wide range of applications. Motivated by the challenges of predicting events across a telecommunications network, we propose a semi-automated, joint model-fitting and predictor selection procedure for linear regression models. Our approach can model and account for serial correlation in the regression residuals, produces sparse and interpretable models and can be used to jointly select models for a group of related responses. This is achieved through fitting linear models under constraints on the number of nonzero coefficients using a generalisation of a recently developed mixed integer quadratic optimisation approach. The resultant models from our approach achieve better predictive performance on the motivating telecommunications data than methods currently used by industry.

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Lei, Xu, Bin Feng, Guiping Wang, Weiyu Liu, and Yalin Yang. "A Novel FastSLAM Framework Based on 2D Lidar for Autonomous Mobile Robot." Electronics 9, no. 4 (April 24, 2020): 695. http://dx.doi.org/10.3390/electronics9040695.

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The autonomous navigation and environment exploration of mobile robots are carried out on the premise of the ability of environment sensing. Simultaneous localisation and mapping (SLAM) is the key algorithm in perceiving and mapping an environment in real time. FastSLAM has played an increasingly significant role in the SLAM problem. In order to enhance the performance of FastSLAM, a novel framework called IFastSLAM is proposed, based on particle swarm optimisation (PSO). In this framework, an adaptive resampling strategy is proposed that uses the genetic algorithm to increase the diversity of particles, and the principles of fractional differential theory and chaotic optimisation are combined into the algorithm to improve the conventional PSO approach. We observe that the fractional differential approach speeds up the iteration of the algorithm and chaotic optimisation prevents premature convergence. A new idea of a virtual particle is put forward as the global optimisation target for the improved PSO scheme. This approach is more accurate in terms of determining the optimisation target based on the geometric position of the particle, compared to an approach based on the maximum weight value of the particle. The proposed IFastSLAM method is compared with conventional FastSLAM, PSO-FastSLAM, and an adaptive generic FastSLAM algorithm (AGA-FastSLAM). The superiority of IFastSLAM is verified by simulations, experiments with a real-world dataset, and field experiments.

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Md Razali, Nur, Mohamad Ibrahim, Ezyana Kamal Bahrin, and Suraini Abd-Aziz. "Optimisation of Simultaneous Saccharification and Fermentation (SSF) for Biobutanol Production Using Pretreated Oil Palm Empty Fruit Bunch." Molecules 23, no. 8 (August 3, 2018): 1944. http://dx.doi.org/10.3390/molecules23081944.

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This study was conducted in order to optimise simultaneous saccharification and fermentation (SSF) for biobutanol production from a pretreated oil palm empty fruit bunch (OPEFB) by Clostridium acetobutylicum ATCC 824. Temperature, initial pH, cellulase loading and substrate concentration were screened using one factor at a time (OFAT) and further statistically optimised by central composite design (CCD) using the response surface methodology (RSM) approach. Approximately 2.47 g/L of biobutanol concentration and 0.10 g/g of biobutanol yield were obtained after being screened through OFAT with 29.55% increment (1.42 fold). The optimised conditions for SSF after CCD were: temperature of 35 °C, initial pH of 5.5, cellulase loading of 15 FPU/g-substrate and substrate concentration of 5% (w/v). This optimisation study resulted in 55.95% increment (2.14 fold) of biobutanol concentration equivalent to 3.97 g/L and biobutanol yield of 0.16 g/g. The model and optimisation design obtained from this study are important for further improvement of biobutanol production, especially in consolidated bioprocessing technology.

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Ruiz, David, Sergio Horta Muñoz, and Reyes García-Contreras. "Simultaneous Design of the Host Structure and the Polarisation Profile of Piezoelectric Sensors Applied to Cylindrical Shell Structures." Mathematics 10, no. 15 (August 3, 2022): 2753. http://dx.doi.org/10.3390/math10152753.

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Piezoelectric actuators and sensors are applied in many fields in order to produce forces or displacements with the aim of sensing, manipulating or measurement, among other functions. This study presents the numerical methodology to optimize the static response of a thick-shell structure consisting of piezoelectric sensors, based on the maximisation of the electric charge while controlling the amount of piezoelectric and material required. Two characteristic functions are involved, determining the topology of the sensor and the polarisation profile. Constraints over the reaction force are included in the optimisation problem in order to avoid singularities. The topology optimisation method is used to obtain the optimal results, where regularisation techniques (density filtering and projection) are used to avoid hinges. The minimum length scale can be controlled by the use of three different projections. As the main novelty, a displacement-controlled scheme is proposed in order to generate a robust algorithm for future studies including non-linearities.

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