Academic literature on the topic 'Pareto method'

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Journal articles on the topic "Pareto method"

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Wei, Xin. "Multi-Objective Optimization Base on Incremental Pareto Fitness." Advanced Materials Research 1030-1032 (September 2014): 1733–36. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1733.

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A new multi-objective optimization algorithm based on incrementally Pareto fitness is proposed in this paper. To overcome the directly calculate the Pareto fitness matrix expensively, we adopt to make full use of information of last iteration at each stept to update the Parteto fitness matrix gradually. Experiments proved the highest efficiency of the new method.
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Askarirobati, Gholam Hosein, Akbar Hashemi Borzabadi, and Aghileh Heydari. "Solving multiobjective optimal control problems using an improved scalarization method." IMA Journal of Mathematical Control and Information 37, no. 4 (2020): 1524–47. http://dx.doi.org/10.1093/imamci/dnaa023.

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Abstract Detecting the Pareto optimal points on the Pareto frontier is one of the most important topics in multiobjective optimal control problems (MOCPs). This paper presents a scalarization technique to construct an approximate Pareto frontier of MOCPs, using an improved normal boundary intersection (NBI) scalarization strategy. For this purpose, MOCP is first discretized and then using a grid of weights, a sequence of single objective optimal control problems is solved to achieve a uniform distribution of Pareto optimal solutions on the Pareto frontier. The aim is to achieve a more even dis
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Zhu, Fujin, Jie Lu, Adi Lin, and Guangquan Zhang. "A Pareto-smoothing method for causal inference using generalized Pareto distribution." Neurocomputing 378 (February 2020): 142–52. http://dx.doi.org/10.1016/j.neucom.2019.09.095.

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Pei, Yan, Jun Yu, and Hideyuki Takagi. "Search Acceleration of Evolutionary Multi-Objective Optimization Using an Estimated Convergence Point." Mathematics 7, no. 2 (2019): 129. http://dx.doi.org/10.3390/math7020129.

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We propose a method to accelerate evolutionary multi-objective optimization (EMO) search using an estimated convergence point. Pareto improvement from the last generation to the current generation supports information of promising Pareto solution areas in both an objective space and a parameter space. We use this information to construct a set of moving vectors and estimate a non-dominated Pareto point from these moving vectors. In this work, we attempt to use different methods for constructing moving vectors, and use the convergence point estimated by using the moving vectors to accelerate EM
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Wang, Zhi Guo. "A New Solution Method for Large-Scale System Optimization Operation." Key Engineering Materials 467-469 (February 2011): 603–7. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.603.

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Aiming at shortcomings in global searching capacity and diversity of Pareto set existing in the traditional MOPSO and in order to enhance the diversity of pareto solutions, quasi-pareto solutions are constructed by sub-ant-colony algorithm which adopts its own and other sub-ant-colony heuristic information and quasi-pareto solutions obtained by every ant are used for control judegement. A crowding distance sorting based multi-objective particle swarm optimization algorithm is proposed. The constructed farther-group ants with the quasi-pareto solutions which act as space nodes constitute travel
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Wang, Hui, Renyu Yang, Jie Sun, et al. "IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 20 (2025): 21108–16. https://doi.org/10.1609/aaai.v39i20.35408.

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Pareto Front Learning (PFL) has been one of the effective means to resolve multi-objective optimization problems through exploring all optimal solutions to learn the entire Pareto front. Pareto Hypernetwork (PHN) is a new promising way to generate the sequence of Pareto-optimal solutions that can be further used as potential solutions to constitute the Pareto front. However, the existing PHN-based approaches suffer from two performance issues: They take as inputs human-crafted preference vector or chunk embedding, rather than the input data samples, and thus vulnerable to data distribution shi
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Suzuki, Naoto, Takashi Okamoto, and Seiichi Koakutsu. "A Pareto Optimal Solution Visualization Method Using an Improved Growing Hierarchical Self-Organizing Maps Based on the Batch Learning." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 5 (2016): 691–704. http://dx.doi.org/10.20965/jaciii.2016.p0691.

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In the multi-objective optimization problem that appears naturally in the decision making process for the complex system, the visualization of the innumerable solutions called Pareto optimal solutions is an important issue. This paper focuses on the Pareto optimal solution visualization method using the growing hierarchical self-organizing maps (GHSOM) which is one of promising visualization methods. This method has a superior Pareto optimal solution representation capability, compared to the visualization method using the self-organizing maps. However, this method has some shortcomings. This
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Boumaraf, Badreddine, Nacira Seddik-Ameur, and Vlad Stefan Barbu. "Estimation of Beta-Pareto Distribution Based on Several Optimization Methods." Mathematics 8, no. 7 (2020): 1055. http://dx.doi.org/10.3390/math8071055.

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This paper is concerned with the maximum likelihood estimators of the Beta-Pareto distribution introduced in Akinsete et al. (2008), which comes from the mixing of two probability distributions, Beta and Pareto. Since these estimators cannot be obtained explicitly, we use nonlinear optimization methods that numerically provide these estimators. The methods we investigate are the method of Newton-Raphson, the gradient method and the conjugate gradient method. Note that for the conjugate gradient method we use the model of Fletcher-Reeves. The corresponding algorithms are developed and the perfo
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Wei, Shuang, and Henry Leung. "A Novel Ranking Method Based on Subjective Probability Theory for Evolutionary Multiobjective Optimization." Mathematical Problems in Engineering 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/695087.

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Most of the engineering problems are modeled as evolutionary multiobjective optimization problems, but they always ask for only one best solution, not a set of Pareto optimal solutions. The decision maker's subjective information plays an important role in choosing the best solution from several Pareto optimal solutions. Generally, the decision-making processing is implemented after Pareto optimality. In this paper, we attempted to incorporate the decider's subjective sense with Pareto optimality for chromosomes ranking. A new ranking method based on subjective probability theory was thus prop
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Emin, Cadar, Sirbu Rodica, Ana Maria Ionescu, Chirila Sergiu, and Cezar Laurentiu Tomescu. "The Pareto Method - A Beneficial Management Method for Increasing Profitability in the Drugs Market." European Journal of Medicine and Natural Sciences 6, no. 1 (2022): 26–31. https://doi.org/10.26417/6k8bfq37.

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The management methods represent the multitude of means and procedures with the help of which the management influences the approach to the elements of the driven system in order to obtain the established objectives. Contemporary organizations management can no longer be achieved without the use of scientific methods that allow the appreciation and efficient use of objective economic laws, the efficient and rational use of resources, the stimulation and use of creativity of employees and managers and the correct appreciation of results. Pareto analysis is a modern management method, very valua
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Dissertations / Theses on the topic "Pareto method"

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Lewis, Patrick K. "An Optimization-Based Method of Traversing Dynamic s-Pareto Frontiers." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3486.

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The use of multiobjective optimization in identifying systems that account for changes in customer needs, operating environments, system design concepts, and analysis models over time is generally not explored. Providing solutions that anticipate, account for, and allow for these changes over time is a significant challenge to manufacturers and design engineers. Products that adapt to these changes through the addition and/or subtraction of modules can reduce production costs through product commonality, and cater to customization and adaptation. In terms of identifying sets of non-dominated d
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Ireland, David John. "Dielectric Antennas and Their Realisation Using a Pareto Dominance Multi-Objective Particle Swarm Optimisation Algorithm." Thesis, Griffith University, 2010. http://hdl.handle.net/10072/365312.

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Antennas utilising a dielectric medium are technologies that have become popular in modern wireless platforms. They offer several desirable features such as high efficiency, electrically small and resistance to proximity detuning. Being a volumetric radiator however, realising a final, commercially competitive solution, often requires the use of a computational optimisation algorithm. In the realm of antenna design the practice of optimisation typically involves an automated routine consisting of a heuristic algorithm and a forward solving engine such as the finite element method (FEM) or fin
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Kondlo, Lwando Orbet. "Estimation of Pareto distribution functions from samples contaminated by measurement errors." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_6141_1297831463.

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<p>The intention is to draw more specific connections between certain deconvolution methods and also to demonstrate the application of the statistical theory of estimation in the presence of measurement error. A parametric methodology for deconvolution when the underlying distribution is of the Pareto form is developed. Maximum likelihood estimation (MLE) of the parameters of the convolved distributions is considered. Standard errors of the estimated parameters are calculated from the inverse Fisher&rsquo<br>s information matrix and a jackknife method. Probability-probability (P-P) plots and K
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Rousis, Damon. "A pareto frontier intersection-based approach for efficient multiobjective optimization of competing concept alternatives." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41136.

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The expected growth of civil aviation over the next twenty years places significant emphasis on revolutionary technology development aimed at mitigating the environmental impact of commercial aircraft. As the number of technology alternatives grows along with model complexity, current methods for Pareto finding and multiobjective optimization quickly become computationally infeasible. Coupled with the large uncertainty in the early stages of design, optimal designs are sought while avoiding the computational burden of excessive function calls when a single design change or technology assumptio
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Lewis, Patrick K. "Multiobjective Optimization Method for Identifying Modular Product Platforms and Modules that Account for Changing Needs over Time." Diss., CLICK HERE for online access, 2010. http://contentdm.lib.byu.edu/ETD/image/etd3580.pdf.

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Good, Nathan Andrew. "Multi-Objective Design Optimization Considering Uncertainty in a Multi-Disciplinary Ship Synthesis Model." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/34532.

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Multi-disciplinary ship synthesis models and multi-objective optimization techniques are increasingly being used in ship design. Multi-disciplinary models allow designers to break away from the traditional design spiral approach and focus on searching the design space for the best overall design instead of the best discipline-specific design. Complex design problems such as these often have high levels of uncertainty associated with them, and since most optimization algorithms tend to push solutions to constraint boundaries, the calculated "best" solution might be infeasible if there are min
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Benki, Aalae. "Méthodes efficaces de capture de front de pareto en conception mécanique multicritère : applications industrielles." Phd thesis, Université Nice Sophia Antipolis, 2014. http://tel.archives-ouvertes.fr/tel-00959099.

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Dans le domaine d'optimisation de forme de structures, la réduction des coûts et l'amélioration des produits sont des défis permanents à relever. Pour ce faire, le procédé de mise en forme doit être optimisé. Optimiser le procédé revient alors à résoudre un problème d'optimisation. Généralement ce problème est un problème d'optimisation multicritère très coûteux en terme de temps de calcul, où on cherche à minimiser plusieurs fonctions coût en présence d'un certain nombre de contraintes. Pour résoudre ce type de problème, on a développé un algorithme robuste, efficace et fiable. Cet algorithme
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NAIK, AMIT R. "TRADEOFF ANALYSIS FOR HELICAL GEAR REDUCTION UNITS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1129591522.

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下田, 昌利, Masatoshi Shimoda, 秀幸 畔上, Hideyuki Azegami, 俊明 桜井 та Toshiaki Sakurai. "複数荷重を考慮した線形弾性体の多目的形状最適化(平均コンプライアンス最小化問題を例として)". 日本機械学会, 1995. http://hdl.handle.net/2237/7241.

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SHIMODA, Masatoshi, Hideyuki AZEGAMI, and Toshiaki SAKURAI. "Multiobjective Shape Optimization of Linear Elastic Structures Considering Multiple Loading Conditions (Dealing with Mean Compliance Minimization problems)." 日本機械学会, 1996. http://hdl.handle.net/2237/12155.

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Books on the topic "Pareto method"

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1939-, Dennis J. E., and Langley Research Center, eds. Normal-boundary intersection: An alternate method for generating pareto optimal points in multicriteria optimization problems. National Aeronautics and Space Administration, Langley Research Center, 1996.

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Das, Indraneel. Normal-boundary intersection: An alternate method for generating Pareto optimal points in multicriteria optimization problems. National Aeronautics and Space Administration, Langley Research Center, 1996.

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1939-, Dennis J. E., and Langley Research Center, eds. Normal-boundary intersection: An alternate method for generating pareto optimal points in multicriteria optimization problems. National Aeronautics and Space Administration, Langley Research Center, 1996.

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Kravchenko, Igor', Maksim Glinskiy, Sergey Karcev, Viktor Korneev, and Diana Abdumuminova. Resource-saving plasma technology in the repair of processing equipment. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1083289.

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In the monograph methodological bases of selection of method of coating, design of technological processes of hardening and recovery of the wearing surfaces of parts using a systems engineering analysis and information support technologist. The mathematical model of plasma spraying of materials with different thermal conductivity and methods criteria for evaluation of technical and technological opportunities of a plasma coating method. Describes the methods and results of experimental studies, the analysis of the conditions and causes of loss of efficiency of processing equipment APK. The pro
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Kuznecov, Vladimir, Aleksandr Cherepahin, and Igor' Koltunov. Technological processes of machine-building production. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1026334.

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The textbook examines in detail the structure of the modern machine-building complex of Russia, outlines aspects of technological preparation of production and resource-saving technologies, classification, labeling and properties of basic structural materials, provides a methodology for system analysis of technological processes, processing methods and methods, describes traditional and modern technological processes for manufacturing machine parts.&#x0D; When considering each method and method of processing, the main emphasis was placed on the description of the main processing schemes, techn
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Greve, Susan M. Phonics for Dummies. John Wiley & Sons, Ltd., 2008.

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Greve, Susan M. Phonics for dummies. Wiley Pub., Inc., 2007.

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Cosner, Holly Jean. Pilates con tu bebé: Un completo programa de ejercicios para después del parto. Oniro, 2006.

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Institute for Mental Health Initiatives., ed. Anger management for parents: Program guide : the rethink method. Distributed by Research Press, 1991.

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Karcev, Sergey, and Igor' Kravchenko. Technologies for resource-saving restoration and repair of industrial equipment parts. INFRA-M Academic Publishing LLC., 2024. https://doi.org/10.12737/2098998.

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The monograph outlines the theoretical foundations and practice of using the plasma method of applying high-life coatings as one of the most effective, strengthening and repair technologies that increase the durability of restored parts of industrial equipment. The means of technological equipment, equipment and materials for plasma application of wear-resistant coatings are described. The experimental data and the results of theoretical research are summarized. Various methods of testing and properties of coatings applied by the plasma method are considered. For researchers, postgraduates and
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Book chapters on the topic "Pareto method"

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Reynolds, Noel B. "Pareto Optimality and the Rule of Law." In Method and Morals in Constitutional Economics. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04810-8_17.

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Bhattacharjee, Kalyan Shankar, Hemant Kumar Singh, and Tapabrata Ray. "Enhanced Pareto Interpolation Method to Aid Decision Making for Discontinuous Pareto Optimal Fronts." In AI 2017: Advances in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63004-5_8.

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Cabezas, Ivan, and Maria Trujillo. "A Method for Reducing the Cardinality of the Pareto Front." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33275-3_102.

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Sehgal, Satish K., and Asim K. Pal. "Privacy Preserving Decentralized Method for Computing a Pareto-Optimal Solution." In Distributed Computing – IWDC 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11603771_66.

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López-Pintado, Orlenys, Marlon Dumas, Maksym Yerokhin, and Fabrizio Maria Maggi. "Silhouetting the Cost-Time Front: Multi-objective Resource Optimization in Business Processes." In Lecture Notes in Business Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85440-9_6.

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AbstractThe allocation of resources in a business process determines the trade-off between cycle time and resource cost. A higher resource utilization leads to lower cost and higher cycle time, while a lower resource utilization leads to higher cost and lower waiting time. In this setting, this paper presents a multi-objective optimization approach to compute a set of Pareto-optimal resource allocations for a given process concerning cost and cycle time. The approach heuristically searches through the space of possible resource allocations using a simulation model to evaluate each allocation.
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Ziani, Ridha, Hafida Mahgoun, Semcheddine Fedala, and Ahmed Felkaoui. "Feature Selection Scheme Based on Pareto Method for Gearbox Fault Diagnosis." In Applied Condition Monitoring. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96181-1_1.

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DENG, Lin, and Xueqing Zhang. "Low Carbon-Oriented Concrete Mix Optimization Using Ensemble Learning and NSGA-II." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69626-8_48.

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AbstractTo achieve an optimal balance among concrete’s technical properties, environmental impacts, and economic costs, this chapter proposes a three-level ensemble learning framework for concrete strength prediction and then uses NSGA-II and TOPSIS method for multi-objective optimization of strength, cost, and carbon emissions. The results show that stacking and voting methods have better model performance in terms of predicting concrete strength. NSGA-II can effectively obtain Pareto solutions when strength is lower than 50 Mpa, which may be due to limited datasets. A larger concrete mix dat
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Sosa Hernández, Víctor Adrián, Oliver Schütze, Günter Rudolph, and Heike Trautmann. "The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume." In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01128-8_13.

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Rao, Ravipudi Venkata, Jan Taler, Dawid Taler, and Monika Rerak. "Evaluating Pareto Solutions in Optimization Problems of Thermal Systems Using BHARAT Method." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4654-5_11.

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Dogan, Vedat, and Steven Prestwich. "Bayesian Optimization with Multi-objective Acquisition Function for Bilevel Problems." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_32.

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AbstractA bilevel optimization problem consists of an upper-level and a lower-level optimization problem connected to each other hierarchically. Efficient methods exist for special cases, but in general solving these problems is difficult. Bayesian optimization methods are an interesting approach that speed up search using an acquisition function, and this paper proposes a modified Bayesian approach. It treats the upper-level problem as an expensive black-box function, and uses multiple acquisition functions in a multi-objective manner by exploring the Pareto-front. Experiments on popular bile
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Conference papers on the topic "Pareto method"

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Li, Guoqing, Yue Sun, Xiaodan Feng, et al. "Consistency Evaluation of Battery Pack Based on Pareto Optimality Method." In 2024 11th International Forum on Electrical Engineering and Automation (IFEEA). IEEE, 2024. https://doi.org/10.1109/ifeea64237.2024.10878753.

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Canuto, Anne M. P., Jhoseph Kelvin Lopes de Jesus, and Daniel S. A. de Araujo. "Towards Total Dynamicity of a Feature Selection Method based on the Pareto Front." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10651006.

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Ferreira, Paulo J. S., João Mendes-Moreira, and João M. P. Cardoso. "A Fast and Energy-Efficient Method for Online and Incremental Pareto-Front Update." In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. https://doi.org/10.1109/wf-iot62078.2024.10811392.

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Ma, Siyang, and Jie Li. "A data-driven hybrid multi-objective optimization framework for pressure swing adsorption systems." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.123607.

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Pressure swing adsorption (PSA) is an energy-efficient technology for gas separation, while the multi-objective optimization of PSA is a challenging task. To tackle this, we propose a hybrid optimization framework, which integrates three steps. In the first step, we establish surrogate models for the constraints using Gaussian processes (GPs) and employ multi-objective Bayesian optimization to search for feasible points that satisfy the constraints. In the second step, we establish surrogate models for the objective function and constraints using GPs and utilize constrained multi-objective Bay
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Gautama Putrada, Aji, Maman Abdurohman, Doan Perdana, and Hilal Hudan Nuha. "MNIST Image Classification with A Novel 2D-CIMA Method and Pareto Front Multi-Objective Grid Search." In 2024 12th International Conference on Information and Communication Technology (ICoICT). IEEE, 2024. http://dx.doi.org/10.1109/icoict61617.2024.10698573.

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Tihvinskiy, V. I., L. V. Kazantseva, and V. A. Morozov. "Synergistic combination of ontologies and Pareto method." In PROCEEDINGS OF THE III INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES IN MATERIALS SCIENCE, MECHANICAL AND AUTOMATION ENGINEERING: MIP: Engineering-III – 2021. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0071318.

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Boem, Francesca, Yuzhe Xu, Carlo Fischione, and Thomas Parisini. "A distributed pareto-optimal dynamic estimation method." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7331101.

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Zhou, Jianhua, Tingting Xia, Mian Li, and Min Xu. "A Normalized Circle Intersection Method for Bi-Objective Optimization Programming." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68101.

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Multi-objective optimization (MOO) problems are encountered in many applications and a number of approaches have been proposed to deal with this kind of problems. Despite the computational efforts, the quality of the Pareto front is also a considerable issue. An evenly distributed Pareto front is desirable for developing analytical expressions. In this paper, a brand new approach called Normalized Circle Intersection (NCI) is proposed, which is able to efficiently generate a Pareto front with evenly-distributed Pareto points for bi-objective problems, no matter the feasible boundary is convex
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Xia, Tingting, and Mian Li. "An Efficient Multi-Objective Robust Optimization Method by Sequentially Searching From Nominal Pareto Solutions." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22155.

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Abstract Multi-objective optimization problems (MOOPs) with uncertainties are common in engineering design problems. To find the robust Pareto fronts, multi-objective robust optimization methods with inner-outer optimization structures generally have high computational complexity, which is always an important issue to address. Based on the general experience, robust Pareto solutions usually lie somewhere near the nominal Pareto points. Starting from the obtained nominal Pareto points, the search process for robust solutions could be more efficient. In this paper, we propose a method that seque
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Campbell, Matthew I. "The Skewboid Method: A Simple and Effective Approach to Pareto Relaxation and Filtering." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70323.

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The concept of Pareto optimality is the default method for pruning a large set of candidate solutions in a multi-objective problem to a manageable, balanced, and rational set of solutions. While the Pareto optimality approach is simple and sound, it may select too many or too few solutions for the decision-maker’s needs or the needs of optimization process (e.g. the number of survivors selected in a population-based optimization). This inability to achieve a target number of solutions to keep has caused a number of researchers to devise methods to either remove some of the non-dominated soluti
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Reports on the topic "Pareto method"

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Iyer, Ananth V., Samuel Labi, Steven Dunlop, Thomas Brady Jr., and Eki Amijaya. Cost and Benefit Analysis of Installing Fiber Optics on INDOT Projects. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317131.

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The Indiana Department of Transportation (INDOT) is tasked with the stewardship of billions of dollars’ worth of public invested highway infrastructure. Not only does INDOT continually seek design and operational policies that foster cost effective project delivery and procurement, they also seek opportunities for revenue generation. Due to population growth and the increased demand for online connectivity and global information transmission, the fiber-optic cable industry has experienced rapid growth over the past few years. Information and communication technology (ICT) companies have long s
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Kauffman, R. Accelerated screening methods for determining chemical and thermal stability of refrigerant-lubricant mixtures, Part 1: Method assessment. Final report. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10177156.

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Coulson, McGrath, and McCarthy. PR-312-14206-R01 Considerations for Developing a New Electrochemical Cell Portable Analyzer Test Method. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010156.

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The basis of electrochemical cell gas sensor technology is presented in the context of electrochemical cell portable analyzers for emissions testing of NOx and CO. This paper presents a modified test method approach and QA/QC criteria that supplement the project goal of assessing existing portable analyzer test methods and protocols for appropriate QA/QC requirements. The goal of a modified method is to minimize testing costs while ensuring data quality. The modified method leverages the inherent linearity of electrochemical cell technology, based on fundamental scientific principles, to emplo
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Stromer, Bobbi, Rebecca Crouch, Katrinka Wayne, Ashley Kimble, Jared Smith, and Anthony Bednar. Methods for simultaneous determination of 29 legacy and insensitive munition (IM) constituents in aqueous, soil-sediment, and tissue matrices by high-performance liquid chromatography (HPLC). Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/1168142105.

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Standard methods are in place for analysis of 17 legacy munitions compounds and one surrogate in water and soil matrices; however, several insensitive munition (IM) and degradation products are not part of these analytical procedures. This lack could lead to inaccurate determinations of munitions in environmental samples by either not measuring for IM compounds or using methods not designed for IM and other legacy compounds. This work seeks to continue expanding the list of target analytes currently included in the US Environmental Protection Agency (EPA) Method 8330B. This technical report pr
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Worley, P. H., and J. B. Drake. Parallelizing the spectral transform method, Part 1. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6016707.

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Walker, D. W., P. H. Worley, and J. B. Drake. Parallelizing the spectral transform method---Part 2. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5331934.

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Шестопалова (Бондар), Катерина Миколаївна, and Олена Петрівна Шестопалова. Support of Inclusive Education in Kryvyi Rig. Padua, Italy, 2019. http://dx.doi.org/10.31812/123456789/3234.

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An analysis of the system of training, the implementation of a pilot project "SUPPORT OF INCLUSIVE EDUCATION IN KRYVYI RIG". The team that worked in project by GIZ (Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH) create strategy for training teachers that include 6 modules: 1) regulatory and legislative framework for inclusive education; 2) inclusion ethics and philosophy; universal design and reasonable accommodation of educational space; 3) support team: interdisciplinary interation; algorithm of provision of psycho-pedagogical, corrective and development services; 4) ind
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Weller, Joel I., Ignacy Misztal, and Micha Ron. Optimization of methodology for genomic selection of moderate and large dairy cattle populations. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7594404.bard.

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The main objectives of this research was to detect the specific polymorphisms responsible for observed quantitative trait loci and develop optimal strategies for genomic evaluations and selection for moderate (Israel) and large (US) dairy cattle populations. A joint evaluation using all phenotypic, pedigree, and genomic data is the optimal strategy. The specific objectives were: 1) to apply strategies for determination of the causative polymorphisms based on the “a posteriori granddaughter design” (APGD), 2) to develop methods to derive unbiased estimates of gene effects derived from SNP chips
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Dul, Jan. Necessary Condition Analysis (NCA): Foundations and Applications. Instats Inc., 2023. http://dx.doi.org/10.61700/o81bp6jkumqev469.

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This 6-part seminar on Necessary Condition Analysis (NCA) will give you the knowledge and skills you need to understand NCA and apply it in your own research. NCA is rapidly entering a variety of research fields and can be used as a stand-alone method or in combination with other methods (e.g., regression, structural equation modeling, qualitative comparative analysis - QCA). This three day seminar will present the fundamentals of NCA and how the method can be applied in professor Dul's NCA package for R. An official Instats certificate of completion is provided at the conclusion of the semina
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Ravindran, T. K. Sundari. A study of user perspectives on the diaphragm in an urban Indian setting. Population Council, 1995. http://dx.doi.org/10.31899/rh1995.1032.

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This study attempted to examine user perspectives regarding the desirability of the diaphragm as a contraceptive method when included among other methods distributed freely through a family planning (FP) clinic. It sought to introduce on an experimental basis, the diaphragm into an ongoing and well-established FP clinic to increase contraceptive choice. This was primarily a qualitative study aimed at understanding women's perceptions about the risks and benefits, the reasons for use of the diaphragm, and the practical difficulties of using it effectively. It also studied the influence of servi
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