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Journal articles on the topic 'Objective reference points'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Liu, Yiping, Dunwei Gong, Xiaoyan Sun, and Yong Zhang. "Many-objective evolutionary optimization based on reference points." Applied Soft Computing 50 (January 2017): 344–55. http://dx.doi.org/10.1016/j.asoc.2016.11.009.

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2

Stewart, Theodor J. "Multiple objective project portfolio selection based on reference points." Journal of Business Economics 86, no. 1-2 (2016): 23–33. http://dx.doi.org/10.1007/s11573-015-0797-x.

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Xiang, Yi, Yuren Zhou, Xiaowei Yang, and Han Huang. "A Many-Objective Evolutionary Algorithm With Pareto-Adaptive Reference Points." IEEE Transactions on Evolutionary Computation 24, no. 1 (2020): 99–113. http://dx.doi.org/10.1109/tevc.2019.2909636.

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Abdel-Basset, Mohamed, Reda Mohamed, and Mohamed Abouhawwash. "Balanced multi-objective optimization algorithm using improvement based reference points approach." Swarm and Evolutionary Computation 60 (February 2021): 100791. http://dx.doi.org/10.1016/j.swevo.2020.100791.

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Metev, Boyan S., and Irena T. Yordanova-Markova. "Multi-objective optimization over convex disjunctive feasible sets using reference points." European Journal of Operational Research 98, no. 1 (1997): 124–37. http://dx.doi.org/10.1016/0377-2217(95)00323-1.

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Reddy, Sohail R., and George S. Dulikravich. "Many-objective differential evolution optimization based on reference points: NSDE-R." Structural and Multidisciplinary Optimization 60, no. 4 (2019): 1455–73. http://dx.doi.org/10.1007/s00158-019-02272-0.

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7

Alves, Maria João, and João Clímaco. "Indifference sets of reference points in multi-objective integer linear programming." Journal of Multi-Criteria Decision Analysis 10, no. 4 (2001): 177–89. http://dx.doi.org/10.1002/mcda.301.

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Reçica, Muhamet, and Naser Pajaziti. "Albanian Aorist and Time Reference Points." Journal of Educational and Social Research 10, no. 3 (2020): 115. http://dx.doi.org/10.36941/jesr-2020-0051.

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Topics related to the structure of the temporal system of Albanian language always give opportunities for new discussions to deal with certain aspects related to various forms of this system, and one of them is the aorist, as a tense containing many semantic, temporal, aspectual, stylistic values, etc. The relationships that exist between the verbal tenses in this system within the absolute time-relative time dimension, which relate to the independent or dependent use of temporal forms against one another in different discoursing contexts, make up an interpretation-based approach to interest.

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Д.В., Полєжаєв, та Тихомиров М.Ю. "КАТЕГОРІАЛЬНО-ПОНЯТІЙНЕ ОСМИСЛЕННЯ ФЕНОМЕНУ ПРОФЕСІЙНОГО САМОВИЗНАЧЕННЯ: ІСТОРІОГРАФІЧНІ АСПЕКТИ". Вісник Харківського національного педагогічного університету імені Г.С. Сковороди "Психологія", № 52 (14 січня 2016): 285–92. https://doi.org/10.5281/zenodo.44745.

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The article deals with main scientific researches and concepts of professional self-determination. It is analyzed objective reference points of professional self-determination, its structural elements.

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Dai, Guangming, Chong Zhou, Maocai Wang, and Xiangping Li. "Indicator and reference points co-guided evolutionary algorithm for many-objective optimization problems." Knowledge-Based Systems 140 (January 2018): 50–63. http://dx.doi.org/10.1016/j.knosys.2017.10.025.

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Zhou, Chong, Guangming Dai, Cuijun Zhang, Xiangping Li, and Ke Ma. "Entropy based evolutionary algorithm with adaptive reference points for many-objective optimization problems." Information Sciences 465 (October 2018): 232–47. http://dx.doi.org/10.1016/j.ins.2018.07.012.

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Zhao, Haitong, Changsheng Zhang, and Bin Zhang. "A decomposition-based many-objective ant colony optimization algorithm with adaptive reference points." Information Sciences 540 (November 2020): 435–48. http://dx.doi.org/10.1016/j.ins.2020.06.028.

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13

Vargas, Dênis E. C., Afonso C. C. Lemonge, Helio J. C. Barbosa, and Heder S. Bernardino. "Solving multi-objective structural optimization problems using GDE3 and NSGA-II with reference points." Engineering Structures 239 (July 2021): 112187. http://dx.doi.org/10.1016/j.engstruct.2021.112187.

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14

Britto, Andre, and Aurora Pozo. "Using reference points to update the archive of MOPSO algorithms in Many-Objective Optimization." Neurocomputing 127 (March 2014): 78–87. http://dx.doi.org/10.1016/j.neucom.2013.05.049.

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15

Xing, Lining, Jun Li, Zhaoquan Cai, and Feng Hou. "A Two-State Dynamic Decomposition-Based Evolutionary Algorithm for Handling Many-Objective Optimization Problems." Mathematics 11, no. 3 (2023): 493. http://dx.doi.org/10.3390/math11030493.

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Decomposition-based many-objective evolutionary algorithms (D-MaOEAs) are brilliant at keeping population diversity for predefined reference vectors or points. However, studies indicate that the performance of an D-MaOEA strongly depends on the similarity between the shape of the reference vectors (points) and that of the PF (a set of Pareto-optimal solutions symbolizing balance among objectives of many-objective optimization problems) of the many-objective problem (MaOP). Generally, MaOPs with expected PFs are not realistic. Consequently, the inevitable weak similarity results in many inactiv

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Mousa, A. A., M. Higazy, S. Abdel-Khalek, Mohamed A. Hussein, and Ahmed Farouk. "Multi-objective reference point based enriched swarm optimization with an application to blood supply chain under natural disaster." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 715–33. http://dx.doi.org/10.3233/jifs-202529.

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The application and analysis of effective blood supply chain network under natural disaster imposed many critical challenges which addressed through an optimization of multiple objectives functions. In this article, relies on reference point algorithm, a user-preference based enriched swarm optimization algorithm is proposed where, inner reference points were produced depending on the perturbed reference point. For each inner reference point, weakly/ɛ-properly Pareto optimal solution was generated using augmented achievement function. All the generated solutions (points) are presented as poten

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Ren, Lu, Wenyu Zhang, Yunrui Ye, and Xinru Li. "Hybrid Strategy to Improve the High-Dimensional Multi-Target Sparrow Search Algorithm and Its Application." Applied Sciences 13, no. 6 (2023): 3589. http://dx.doi.org/10.3390/app13063589.

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This research combines the improved reference point selection strategy and the sparrow search algorithm with an enhanced competition mechanism to create a high-dimensional multi-objective sparrow search algorithm with an incorporated improved reference point selection strategy. First, the reference point selection approach is utilized to establish the reference points and sparrow populations, and the most important reference points are dynamically chosen to increase the global search ability. Then, the size of the search population and the method of searcher position updating are dynamically a

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18

Ding, Rui, Hongbin Dong, Jun He, and Tao Li. "A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points." Applied Soft Computing 78 (May 2019): 447–64. http://dx.doi.org/10.1016/j.asoc.2019.02.040.

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Aliano Filho, Angelo, Antonio Carlos Moretti, Margarida Vaz Pato, and Washington Alves de Oliveira. "An exact scalarization method with multiple reference points for bi-objective integer linear optimization problems." Annals of Operations Research 296, no. 1-2 (2019): 35–69. http://dx.doi.org/10.1007/s10479-019-03317-9.

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IRWIN, BRIAN J., and MICHAEL J. CONROY. "Consideration of reference points for the management of renewable resources under an adaptive management paradigm." Environmental Conservation 40, no. 4 (2013): 302–9. http://dx.doi.org/10.1017/s0376892913000222.

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SUMMARYThe success of natural resource management depends on monitoring, assessment and enforcement. In support of these efforts, reference points (RPs) are often viewed as critical values of management-relevant indicators. This paper considers RPs from the standpoint of objective-driven decision making in dynamic resource systems, guided by principles of structured decision making (SDM) and adaptive resource management (AM). During the development of natural resource policy, RPs have been variously treated as either ‘targets’ or ‘triggers’. Under a SDM/AM paradigm, target RPs correspond appro

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Friedrich, Tobias, Frank Neumann, and Christian Thyssen. "Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point." Evolutionary Computation 23, no. 1 (2015): 131–59. http://dx.doi.org/10.1162/evco_a_00126.

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Many optimization problems arising in applications have to consider several objective functions at the same time. Evolutionary algorithms seem to be a very natural choice for dealing with multi-objective problems as the population of such an algorithm can be used to represent the trade-offs with respect to the given objective functions. In this paper, we contribute to the theoretical understanding of evolutionary algorithms for multi-objective problems. We consider indicator-based algorithms whose goal is to maximize the hypervolume for a given problem by distributing [Formula: see text] point

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22

Greenstreet, Simon P. R., and Stuart I. Rogers. "Indicators of the health of the North Sea fish community: identifying reference levels for an ecosystem approach to management." ICES Journal of Marine Science 63, no. 4 (2006): 573–93. http://dx.doi.org/10.1016/j.icesjms.2005.12.009.

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Abstract The shift in emphasis away from the single-species focus of traditional fisheries management towards an ecosystem approach to management requires application of indicators of ecosystem state. Further, an ecosystem approach to management requires the identification of ecological reference points against which management objectives might be set. In applying indicators, identifying reference points, and setting objectives, an obvious requirement is that the indicators respond primarily to the anthropogenic activity being managed and are sufficiently sensitive that impacts of the activity

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23

Premkumar, M., Pradeep Jangir, R. Sowmya, and Laith Abualigah. "MaOMFO: Many-objective moth flame optimizer using reference-point based non-dominated sorting mechanism for global optimization problems." Decision Science Letters 12, no. 3 (2023): 571–90. http://dx.doi.org/10.5267/j.dsl.2023.4.006.

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Many-objective optimization (MaO) deals with a large number of conflicting objectives in optimization problems to acquire a reliable set of appropriate non-dominated solutions near the true Pareto front, and for the same, a unique mechanism is essential. Numerous papers have reported multi-objective evolutionary algorithms to explain the absence of convergence and diversity variety in many-objective optimization problems. One of the most encouraging methodologies utilizes many reference points to segregate the solutions and guide the search procedure. The above-said methodology is integrated i

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24

Ustun, Ozden. "Interactive Reference Point Procedure Based on the Conic Scalarizing Function." Scientific World Journal 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/242803.

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In multiobjective optimization methods, multiple conflicting objectives are typically converted into a single objective optimization problem with the help of scalarizing functions. The conic scalarizing function is a general characterization of Benson proper efficient solutions of non-convex multiobjective problems in terms of saddle points of scalar Lagrangian functions. This approach preserves convexity. The conic scalarizing function, as a part of a posteriori or a priori methods, has successfully been applied to several real-life problems. In this paper, we propose a conic scalarizing func

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25

Yang, Wusi, Li Chen, Yi Wang, and Maosheng Zhang. "A reference points and intuitionistic fuzzy dominance based particle swarm algorithm for multi/many-objective optimization." Applied Intelligence 50, no. 4 (2019): 1133–54. http://dx.doi.org/10.1007/s10489-019-01569-3.

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26

Fay, Gavin, Jason S. Link, Scott I. Large, and Robert J. Gamble. "Management performance of ecological indicators in the Georges Bank finfish fishery." ICES Journal of Marine Science 72, no. 5 (2014): 1285–96. http://dx.doi.org/10.1093/icesjms/fsu214.

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Abstract Successful implementation of Ecosystem-Based Fisheries Management (EBFM) requires appropriate action as informed by reference points in an ecosystem context. Thresholds in the response of ecological indicators to system drivers have been suggested as reference points for EBFM, though the management performance of these indicators and possible values for their reference points have not been widely evaluated. We used Management Strategy Evaluation to test the performance of control rules that used ecological indicators to adjust the advice from single-species stock assessments, using th

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27

McBride, Sarah H., Scott Dolejs, Ulf Knothe, and Melissa L. Knothe Tate. "Major and minor centroidal axes serve as objective, automatable reference points to test mechanobiological hypotheses using histomorphometry." Journal of Biomechanics 44, no. 6 (2011): 1205–8. http://dx.doi.org/10.1016/j.jbiomech.2011.01.033.

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28

KADZIŃSKI, MIŁOSZ, and ROMAN SŁOWIŃSKI. "INTERACTIVE ROBUST CONE CONTRACTION METHOD FOR MULTIPLE OBJECTIVE OPTIMIZATION PROBLEMS." International Journal of Information Technology & Decision Making 11, no. 02 (2012): 327–57. http://dx.doi.org/10.1142/s0219622012400056.

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We introduce a new interactive procedure for multiple objective optimization problems. The identification of the most preferred solution is achieved by means of a systematic dialogue with the decision maker (DM) during which (s)he specifies pairwise comparisons of nondominated solutions from a current sample. We represent this preference information by a compatible form of the achievement scalarizing function, i.e., we are searching for weights of objectives which ensure that the reference solutions are compared by the function in the same way as by the DM. Directions of the isoquants of all c

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29

Yu, Kai Qin, Yin Fei Yang, Liang Li, Ning He, Bo Chen, and Xue Feng Zhang. "Residual Stresses Measurement Base on Three Reference Points Theory Using Contour Method." Materials Science Forum 800-801 (July 2014): 726–30. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.726.

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The objective of this work is to measure the residual stress normal to the cut plane which has a large size using contour method. Translations and rotations are applied to the second point cloud to assure the continuity of the contour. There is still the same work on the opposing cut plane, align and combine the two contour datasets, perform the interpolation and then integrate with a finite element modelling package to apply many thousands of different boundary conditions. The finite element result shows a good continuity indicating the success of transformation means applied on the point clo

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30

Leng, Qi, Bo Shan, and Chong Zhou. "Reference Point and Grid Method-Based Evolutionary Algorithm with Entropy for Many-Objective Optimization Problems." Entropy 27, no. 5 (2025): 524. https://doi.org/10.3390/e27050524.

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In everyday scenarios, there are many challenges involving multi-objective optimization. As the count of objective functions rises to four or beyond, the problem’s complexity intensifies considerably, often making it challenging for traditional algorithms to arrive at satisfactory solutions. The non-dominated sorting evolutionary reference point-based (NSGA-III) and the grid-based evolutionary algorithms (GrEA) are two prevalent algorithms for many-objective optimization. These two algorithms preserve population diversity by employing reference point and grid mechanisms, respectively. However,

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Banaduc, Gabriela, Nicoleta Mirea, and Anca Draghici. "Points of intersection between sustainability and project management." MATEC Web of Conferences 373 (2022): 00078. http://dx.doi.org/10.1051/matecconf/202237300078.

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The goal of this paper is to explore the dimension of sustainability in project management through a systematic literature review; more specifically, the article aims at reviewing the approaches to ensure the performance of urban projects performance targeting sustainable objectives. An attempt to explore the way the two fields intersect by means of exchanging both strengths: project management know-how areas, on the one hand, and sustainability tools, a win–win for improving the efficiency of implementing sustenability in every project. The research objective is to define concepts, terminolog

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Filatov, V. O., and M. A. Yerokhin. "IMPROVED MULTI-OBJECTIVE OPTIMIZATION IN BUSINESS PROCESS MANAGEMENT USING R-NSGA-II." Radio Electronics, Computer Science, Control, no. 3 (October 14, 2023): 187. http://dx.doi.org/10.15588/1607-3274-2023-3-18.

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Context. Business process management is a critical component in contemporary organizations for maintaining efficiency and achieving operational objectives. Optimization of these processes in terms of time and cost can lead to significant improvements in overall business performance. However, traditional optimization techniques often face challenges in handling multi-objective problems with a known time-cost trade-off, necessitating more effective solutions. The integration of a business process model and notation for a stochastic process simulation provides a robust foundation for analyzing th

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Cong, Di, Chunjing Shi, Yunfei Cui, Yongming Han, and Zhiqiang Geng. "Novel competing evolutionary membrane algorithm based on multiple reference points for multi-objective optimization of ethylene cracking processes." Chemometrics and Intelligent Laboratory Systems 217 (October 2021): 104389. http://dx.doi.org/10.1016/j.chemolab.2021.104389.

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Dhiman, Gaurav, and Vijay Kumar. "KnRVEA: A hybrid evolutionary algorithm based on knee points and reference vector adaptation strategies for many-objective optimization." Applied Intelligence 49, no. 7 (2019): 2434–60. http://dx.doi.org/10.1007/s10489-018-1365-1.

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35

Wang, Xinrui, Junqing Li, Jiake Li, and Ying Xu. "Adaptive reference-points learning and cooperation driven multi-objective algorithm for hybrid group flow shop with outsourcing option." CIRP Journal of Manufacturing Science and Technology 60 (September 2025): 56–75. https://doi.org/10.1016/j.cirpj.2025.04.006.

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WANG, WENJUAN, PAUL VILLAVICENCIO, and TOYOHIDE WATANABE. "ANALYSIS OF REFERENCE RELATIONSHIPS AMONG RESEARCH PAPERS, BASED ON CITATION CONTEXT." International Journal on Artificial Intelligence Tools 21, no. 02 (2012): 1240004. http://dx.doi.org/10.1142/s0218213012400040.

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Many efforts have been successfully paid by researchers or developers to grasp efficiently the contents of related works with a view to making their investigations successfully, preparing their plans effectively or attaining their objectives smartly. Although the paper abstract prepared by authors themselves is one of the useful efforts in many cases the content is not always sufficient by them to know the features of objective, approach, method, experimental data, evaluation, etc. in comparison with other related works. In this paper, we focus on the text associated with citation to reveal re

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Guo, Qian. "Large Scale Customer Points in Genetic Algorithms." International Journal of Computer Science and Information Technology 2, no. 3 (2024): 210–18. http://dx.doi.org/10.62051/ijcsit.v2n3.23.

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Aiming at the path optimization problem of pharmaceutical green logistics distribution, a green logistics path optimization model is designed considering constraints such as time window limitation and vehicle capacity, with the optimization objective of minimizing the sum of vehicle transportation cost, overtime cost and green cost, and the constructed model is solved by using genetic algorithm. The constructed model and designed algorithm are verified by actual distribution data. The example experiments show that the genetic algorithm has better solution quality, higher efficiency and more st

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Wei, Lixin, JinLu Zhang, Rui Fan, Xin Li, and Hao Sun. "Covariance matrix adaptive strategy for a multi-objective evolutionary algorithm based on reference point." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 7315–32. http://dx.doi.org/10.3233/jifs-200749.

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In this article, an effective method, called an adaptive covariance strategy based on reference points (RPCMA-ES) is proposed for multi-objective optimization. In the proposed algorithm, search space is divided into independent sub-regions by calculating the angle between the objective vector and the reference vector. The reference vectors can be used not only to decompose the original multi-objective optimization problem into a number of single-objective subproblems, but also to elucidate user preferences to target a preferred subset of the whole Pareto front (PF). In this respect, any single

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Pinheiro, Patrícia Geórgia Oliveira Diniz, Lenilde Duarte de Sá, Pedro Fredemir Palha, Rita de Cássia Cordeiro de Oliveira, Jordana de Almeida Nogueira, and Tereza Cristina Scatena Villa. "Critical points for the control of Tuberculosis on Primary Health Care." Revista Brasileira de Enfermagem 70, no. 6 (2017): 1227–34. http://dx.doi.org/10.1590/0034-7167-2016-0467.

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ABSTRACT Objective: To analyze the discourses of professionals that work on the reference service about the critical points that affects the essential attributes of the Primary Health Care (PHC) related to the control of tuberculosis in the city of João Pessoa. Method: The empirical material collected from August to October in 2014, through the interview technique was analyzed through the methodological-theoretical framework of French Discourse Analysis. Results: The discourses demonstrated the critical points on the control of the disease on PHC as being the lack of bond and welcoming from th

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Anusha, M. "Multi-Objective Optimization to Identify High Quality Clusters with Close Referential Point using Evolutionary Clustering Techniques." Asian Journal of Computer Science and Technology 7, no. 3 (2018): 68–71. http://dx.doi.org/10.51983/ajcst-2018.7.3.1894.

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Most of the real-world optimization problems have multiple objectives to deal with. Satisfying one objective at a time may lead to the huge deviation in other. This paper uses criterion knowledge ranking algorithm solving multi-objective optimization problems. The aim of this research paper is to solve a multi-objective optimization algorithm with close reference point learning method to identify high quality data clusters. A Simple crossover measure is used to quantify the diversity of the whole set, by considering all patterns as a complete entity. In this paper, the task of identifying high

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O'Boyle, R., M. Sinclair, P. Keizer, K. Lee, D. Ricard, and P. Yeats. "Indicators for ecosystem-based management on the Scotian Shelf: bridging the gap between theory and practice." ICES Journal of Marine Science 62, no. 3 (2005): 598–605. http://dx.doi.org/10.1016/j.icesjms.2005.01.011.

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Abstract The need for a more integrated approach to ocean management is increasingly being recognized. Discussion on appropriate indicators and reference points supporting such an approach has focused on the technical merits of one set of metrics over another in servicing some management goal. Relatively little effort has been put into answering the question how one would use suites of indicators to meet the multiple conservation objectives defined in operational plans. Such an exercise is being undertaken on the eastern Scotian Shelf off Canada's east coast, as a national integrated managemen

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Cunha, Kamylla Santos da, Carolina Kahl, Cintia Koerich, Gabriela Marcellino de Melo Lanzoni, Alacoque Lorenzini Erdmann, and Betina Hörner Schlindwein Meirelles. "Myocardial revascularization: factors intervening in the reference and counter-reference in the hospital setting." Revista Brasileira de Enfermagem 71, no. 4 (2018): 1817–24. http://dx.doi.org/10.1590/0034-7167-2017-0218.

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ABSTRACT Objective: To understand the intervening factors in the process of reference and counter-reference of the individual with heart disease in the scenario of high complexity in the health care network. Method: Research anchored in the Grounded Theory (Teoria Fundamentada nos Dados). It totaled 21 participants. The data collection scenario was a cardiovascular reference hospital in the south of Brazil and occurred between March and June 2014. Results: The intervening factors in the reference process were the difficulty to access the points of the network and telemedicine and the central t

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43

Triarahmadhana, Bagas, Widy Putra, Dwi Noviyanto, Harka Amrossalma, and Safirotul Huda. "The Terrestrial Gravity Survey Around Ibu Kota Nusantara (IKN) Area, Indonesia." IOP Conference Series: Earth and Environmental Science 1418, no. 1 (2024): 012032. https://doi.org/10.1088/1755-1315/1418/1/012032.

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Abstract The Geospatial Information Agency of Indonesia (BIG) conducted a terrestrial gravity survey around the Ibu Kota Nusantara (IKN) area, projected to be the new capital city of Indonesia. The objective of the surveys was to collect gravity data to develop a geoid model serving as the vertical reference system. The survey encompassed 164 measurement points, spaced sporadically at intervals of 2.5 km to 3 km and utilizing the CG-5 Scintrex gravimeter. Each point was surveyed for 10 minutes with a 1 Hz data interval. Accurate positioning of the points was achieved using the Global Navigatio

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Zhang, Honghao, Dongtao Yu, Tao Li, Lingyu Wang, Zhongwei Huang, and Yong Zhang. "Multi-Objective Optimization of Square Corrugation Multilayer Nested Structures." Applied Sciences 13, no. 17 (2023): 9750. http://dx.doi.org/10.3390/app13179750.

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Thin-walled structures, when used for high-speed railways, can effectively mitigate the irreversible destruction when a malfunction occurs. Nested thin-walled tubes, as energy-absorbing structures, possess excellent specific energy absorption (SEA) and crushing force efficiency (CFE). This paper conducts multi-objective optimization by focusing on a square corrugation nested structure with a double octagon inner wall, namely SCOD, to ameliorate the crashworthiness of the nested structure. The finite element model of the SCOD is constructed and validated by test data. A set of experimental desi

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45

Andrello, Avacir Casanova, Carlos Roberto Appoloni, and Maria de Fátima Guimarães. "Soil erosion determination in a watershed from northern Paraná (Brazil) using 137Cs." Brazilian Archives of Biology and Technology 47, no. 4 (2004): 659–67. http://dx.doi.org/10.1590/s1516-89132004000400020.

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The objective of this work was study the soil losses or gains in a watershed in the municipal district of Cambé, Paraná using 137Cs as marker for the determination of soil redistributions. A transect sampling was used to evaluate the influence of different tillage on soil erosion. One point, located in a forest area was sampled and analyzed to determine the reference inventory of cesium-137 deposited by fallout. The average value of the reference inventory was 292 Bq m-2. The cesium-137 inventory of the transect samples varied from 80 Bq m-2 to 403 Bq m-2. The sampling points in pasture presen

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Ariza Vesga, Luis Felipe, Johan Sebastián Eslava Garzón, and Rafael Puerta Ramirez. "EF1-NSGA-III: An evolutionary algorithm based on the first front to obtain non-negative and non-repeated extreme points." Ingeniería e Investigación 40, no. 3 (2020): 55–69. http://dx.doi.org/10.15446/inginvestig.v40n3.82906.

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Multi-Objective and Many-objective Optimization problems have been extensively solved through evolutionary algorithms over a few decades. Despite the fact that NSGA-II and NSGA-III are frequently employed as a reference for a comparative evaluation of new evolutionary algorithms, the latter is proprietary. In this paper, we used the basic framework of the NSGA-II, which is very similar to the NSGA-III, with significant changes in its selection operator. We took the first front generated at the non-dominating sort procedure to obtain nonnegative and nonrepeated extreme points. This opensource v

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Roszkowska, Ewa, and Marzena Filipowicz-Chomko. "A Multi-Criteria Method Integrating Distances to Ideal and Anti-Ideal Points." Symmetry 16, no. 8 (2024): 1025. http://dx.doi.org/10.3390/sym16081025.

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Multi-criteria decision-making methods based on reference points and distances from them are essential for evaluating alternatives across multiple criteria. These methods provide structured approaches to comparing and ranking alternatives relative to specified reference points. The main objective of this paper is to present the Multi-Criteria Method Integrating Distances to Ideal and Anti-ideal Points (MIDIA), which, through a weighted system, allows for the consideration of balance and asymmetry in assessing alternatives based on their distances from the ideal and anti-ideal points. As a mult

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Lipenbergs, E., Vj Bobrovs, and G. Ivanovs. "Investigation of Service Quality of Measurement Reference Points for the Internet Services on Mobile Networks." Latvian Journal of Physics and Technical Sciences 53, no. 5 (2016): 64–73. http://dx.doi.org/10.1515/lpts-2016-0037.

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Abstract To ensure that end-users and consumers have access to comprehensive, comparable and user-friendly information regarding the Internet access service quality, it is necessary to implement and regularly renew a set of legislative regulatory acts and to provide monitoring of the quality of Internet access services regarding the current European Regulatory Framework. The actual situation regarding the quality of service monitoring solutions in different European countries depends on national regulatory initiatives and public awareness. The service monitoring solutions are implemented using

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Zhao, Feng, Yu Liu, Hanqiang Liu, and Jiulun Fan. "Broad learning approach to Surrogate-Assisted Multi-Objective evolutionary fuzzy clustering algorithm based on reference points for color image segmentation." Expert Systems with Applications 200 (August 2022): 117015. http://dx.doi.org/10.1016/j.eswa.2022.117015.

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Li, Shiyu, Jeffrey T. Howard, Erica T. Sosa, Alberto Cordova, Deborah Parra-Medina, and Zenong Yin. "Calibrating Wrist-Worn Accelerometers for Physical Activity Assessment in Preschoolers: Machine Learning Approaches." JMIR Formative Research 4, no. 8 (2020): e16727. http://dx.doi.org/10.2196/16727.

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Background Physical activity (PA) level is associated with multiple health benefits during early childhood. However, inconsistency in the methods for quantification of PA levels among preschoolers remains a problem. Objective This study aimed to develop PA intensity cut points for wrist-worn accelerometers by using machine learning (ML) approaches to assess PA in preschoolers. Methods Wrist- and hip-derived acceleration data were collected simultaneously from 34 preschoolers on 3 consecutive preschool days. Two supervised ML models, receiver operating characteristic curve (ROC) and ordinal log

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