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Journal articles on the topic 'Pareto'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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2

Mornati, Fiorenzo. "Pareto Optimality in the work of Pareto." Revue européenne des sciences sociales, no. 51-2 (December 15, 2013): 65–82. http://dx.doi.org/10.4000/ress.2517.

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3

Németh, A. B. "Between Pareto efficiency and Pareto ε-efficiency". Optimization 20, № 5 (1989): 615–37. http://dx.doi.org/10.1080/02331938908843483.

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4

Busino, Giovanni. "Pareto oggi." Revue européenne des sciences sociales, no. XLVIII-146 (July 1, 2010): 113–27. http://dx.doi.org/10.4000/ress.761.

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5

Yeh, Hsiaw-Chan, Barry C. Arnold, and Christopher A. Robertson. "Pareto processes." Journal of Applied Probability 25, no. 2 (1988): 291–301. http://dx.doi.org/10.2307/3214437.

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An autoregressive process ARP(1) with Pareto-distributed inputs, analogous to those of Lawrance and Lewis (1977), (1980), is defined and its properties developed. It is shown that the stationary distributions are Pareto. Further, the maximum and minimum processes are asymptotically Weibull, and the ARP(1) process is shown to be closed under maximization or minimization when the number of terms is geometrically distributed. The ARP(1) process leads naturally to an extremal process in the sense of Lamperti (1964). Statistical inference for the ARP(1) process is developed. An absolutely continuou

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6

Makatura, Liane, Minghao Guo, Adriana Schulz, Justin Solomon, and Wojciech Matusik. "Pareto gamuts." ACM Transactions on Graphics 40, no. 4 (2021): 1–17. http://dx.doi.org/10.1145/3476576.3476758.

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7

Makatura, Liane, Minghao Guo, Adriana Schulz, Justin Solomon, and Wojciech Matusik. "Pareto gamuts." ACM Transactions on Graphics 40, no. 4 (2021): 1–17. http://dx.doi.org/10.1145/3450626.3459750.

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8

Yeh, Hsiaw-Chan, Barry C. Arnold, and Christopher A. Robertson. "Pareto processes." Journal of Applied Probability 25, no. 02 (1988): 291–301. http://dx.doi.org/10.1017/s0021900200040936.

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An autoregressive process ARP(1) with Pareto-distributed inputs, analogous to those of Lawrance and Lewis (1977), (1980), is defined and its properties developed. It is shown that the stationary distributions are Pareto. Further, the maximum and minimum processes are asymptotically Weibull, and the ARP(1) process is shown to be closed under maximization or minimization when the number of terms is geometrically distributed. The ARP(1) process leads naturally to an extremal process in the sense of Lamperti (1964). Statistical inference for the ARP(1) process is developed. An absolutely continuou

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9

Ikefuji, Masako, Roger J. A. Laeven, Jan R. Magnus, and Chris Muris. "Pareto utility." Theory and Decision 75, no. 1 (2012): 43–57. http://dx.doi.org/10.1007/s11238-012-9293-8.

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10

Green, M. W., and B. C. Arnold. "Pareto Distributions." Applied Statistics 35, no. 2 (1986): 215. http://dx.doi.org/10.2307/2347273.

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11

Malik, Henrick J., and Barry C. Arnold. "Pareto Distributions." Journal of the American Statistical Association 83, no. 401 (1988): 269. http://dx.doi.org/10.2307/2288955.

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12

Shanbhag, D. N., and B. C. Arnold. "Pareto Distributions." Journal of the Royal Statistical Society. Series A (Statistics in Society) 152, no. 2 (1989): 253. http://dx.doi.org/10.2307/2982920.

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13

Rey, Andrea Alejandra. "Pareto graphs." Electronic Journal of Graph Theory and Applications 13, no. 1 (2025): 91. https://doi.org/10.5614/ejgta.2025.13.1.7.

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14

Pillai, R. N. "Semi-Pareto processes." Journal of Applied Probability 28, no. 2 (1991): 461–65. http://dx.doi.org/10.2307/3214880.

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Semi-Pareto processes, of which Pareto processes form a proper sub-class, are discussed here. A semi-Pareto process has semi-Pareto inputs. Asymptotic properties of the maximum and minimum of the first n observations are examined as well as the geometric maximum and geometric minimum. A characterization of the semi-Pareto distribution is given. A canonical representation of a special class of Pareto process is also given.

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15

Pillai, R. N. "Semi-Pareto processes." Journal of Applied Probability 28, no. 02 (1991): 461–65. http://dx.doi.org/10.1017/s0021900200039826.

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Semi-Pareto processes, of which Pareto processes form a proper sub-class, are discussed here. A semi-Pareto process has semi-Pareto inputs. Asymptotic properties of the maximum and minimum of the first n observations are examined as well as the geometric maximum and geometric minimum. A characterization of the semi-Pareto distribution is given. A canonical representation of a special class of Pareto process is also given.

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16

Aron, Raymond. "Lectures de Pareto." Commentaire Numéro168, no. 4 (2019): 725. http://dx.doi.org/10.3917/comm.168.0725.

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17

Gunning, Patricia, Jane M. Horgan, and Gary Keogh. "EFFICIENT PARETO STRATIFICATION." Mathematical Proceedings of the Royal Irish Academy 106A, no. 2 (2006): 131–38. http://dx.doi.org/10.1353/mpr.2006.0018.

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18

Erridge, P. "The Pareto principle." British Dental Journal 201, no. 7 (2006): 419. http://dx.doi.org/10.1038/sj.bdj.4814131.

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19

Zeghdoudi, Halim, Lazri Nouara, and Djabrane Yahia. "LINDLEY PARETO DISTRIBUTION." Statistics in Transition New Series 19, no. 4 (2019): 671–92. http://dx.doi.org/10.21307/stattrans-2018-035.

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20

Bose, A., D. Pal, and D. E. M. Sappington. "Pareto-improving inefficiency." Oxford Economic Papers 63, no. 1 (2010): 94–110. http://dx.doi.org/10.1093/oep/gpq009.

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21

Bligaard, Thomas, Gisli H. Jóhannesson, Andrei V. Ruban, Hans L. Skriver, Karsten W. Jacobsen, and Jens K. Nørskov. "Pareto-optimal alloys." Applied Physics Letters 83, no. 22 (2003): 4527–29. http://dx.doi.org/10.1063/1.1631051.

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22

Nadarajah, Saralees. "Exponentiated Pareto distributions." Statistics 39, no. 3 (2005): 255–60. http://dx.doi.org/10.1080/02331880500065488.

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23

Mir, Khurshid Ahmad. "Modified Pareto Distribution." Journal of Modern Mathematics and Statistics 5, no. 1 (2011): 17–18. http://dx.doi.org/10.3923/jmmstat.2011.17.18.

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24

Del Roio, Marcos. "Gramsci e Pareto." Crítica Marxista 26, no. 49 (2019): 211–13. http://dx.doi.org/10.53000/cma.v26i49.19087.

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Com apenas um olhar descuidado, o apreciador de bons livros pode estranhar um volume que traz na capa e no conteúdo, juntos, autores tão díspares como Antonio Gramsci e Vilfredo Pareto, insignes autores identificados, um com o marxismo historicista e outro com o positivismo sociológico. Acontece que Luciana Aliaga encontrou um nexo entre esses dois importantes intelectuais italianos da primeira metade do século XX: ambos foram intérpretes influentes de como se realizou a unificação territorial da Itália e, assim, influenciaram a luta ideológica de classes no seu tempo e além.

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25

Nadarajah, Saralees, and Samuel Kotz. "Financial Pareto ratios." Quantitative Finance 7, no. 3 (2007): 257–60. http://dx.doi.org/10.1080/14697680601067604.

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26

Pietrzak, J. "Pareto optimum tests." Computers & Structures 71, no. 1 (1999): 35–42. http://dx.doi.org/10.1016/s0045-7949(98)00221-1.

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27

FISH, ERAN. "Against Anonymous Pareto." Utilitas 31, no. 1 (2018): 3–19. http://dx.doi.org/10.1017/s0953820818000134.

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The principle known as ‘anonymous Pareto’ has it that an alternative A is better than another, B, in case it is (strictly, non-anonymously) Pareto superior to either B or a permutation of it. It is an attractive idea, offering to apply Pareto-based judgments to a broader range of cases while preserving some of the intuitive appeal of the standard, more familiar principle. This essay considers some ways in which anonymous Pareto is defended and argues against each separately, as well as in more general lines. It suggests that the reasons in light of which people find strict Pareto so compelling

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28

Picard, D. "Evolutionary Pareto distributions." Annales de l'Institut Henri Poincare (B) Probability and Statistics 38, no. 6 (2002): 1023–37. http://dx.doi.org/10.1016/s0246-0203(02)01124-x.

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29

Harvey, H. Benjamin, and Susan T. Sotardi. "The Pareto Principle." Journal of the American College of Radiology 15, no. 6 (2018): 931. http://dx.doi.org/10.1016/j.jacr.2018.02.026.

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30

Geanakoplos, John, and H. M. Polemarchakis. "Pareto improving taxes." Journal of Mathematical Economics 44, no. 7-8 (2008): 682–96. http://dx.doi.org/10.1016/j.jmateco.2007.07.007.

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31

Tullock, Gordon. "Smith v. Pareto." Atlantic Economic Journal 27, no. 3 (1999): 254–59. http://dx.doi.org/10.1007/bf02299576.

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32

Miebach, Bernhard. "Parsons/Pareto/Habermas." ProtoSociology 3 (1992): 165–69. http://dx.doi.org/10.5840/protosociology1992331.

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33

Gunning, Patricia, Jane M. Horgan, and Gary Keogh. "Efficient Pareto Stratification." Mathematical Proceedings of the Royal Irish Academy 106, no. 2 (2006): 131–38. http://dx.doi.org/10.3318/pria.2006.106.2.131.

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34

Tremblay, Mark J. "Pareto price discrimination." Economics Letters 183 (October 2019): 108559. http://dx.doi.org/10.1016/j.econlet.2019.108559.

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35

Luenberger, David G. "Dual Pareto Efficiency." Journal of Economic Theory 62, no. 1 (1994): 70–85. http://dx.doi.org/10.1006/jeth.1994.1004.

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36

Parks, Robert P. "Pareto irrelevant externalities." Journal of Economic Theory 54, no. 1 (1991): 165–79. http://dx.doi.org/10.1016/0022-0531(91)90111-g.

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37

Korhonen, Pekka, and Jyrki Wallenius. "A pareto race." Naval Research Logistics 35, no. 6 (1988): 615–23. http://dx.doi.org/10.1002/1520-6750(198812)35:6<615::aid-nav3220350608>3.0.co;2-k.

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38

Li, Miqing, Shengxiang Yang, and Xiaohui Liu. "Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization." IEEE Transactions on Evolutionary Computation 20, no. 5 (2016): 645–65. http://dx.doi.org/10.1109/tevc.2015.2504730.

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39

Schoenberg, F. P., and R. D. Patel. "Comparison of Pareto and tapered Pareto distributions for environmental phenomena." European Physical Journal Special Topics 205, no. 1 (2012): 159–66. http://dx.doi.org/10.1140/epjst/e2012-01568-4.

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40

Drugan, Mădălina M., and Dirk Thierens. "Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies." Journal of Heuristics 18, no. 5 (2012): 727–66. http://dx.doi.org/10.1007/s10732-012-9205-7.

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41

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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42

Abd Raof, Anis Syazwani, Mohd Azmi Haron, Muhammad Aslam Mohd Safari, and Zailan Siri. "Modeling the Incomes of the Upper-Class Group in Malaysia using New Pareto-Type Distribution." Sains Malaysiana 51, no. 10 (2022): 3437–48. http://dx.doi.org/10.17576/jsm-2022-5110-26.

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The new Pareto-type distribution has been previously introduced as an alternative to the conventional Pareto distribution in modeling income distribution. It is claimed to provide better flexibility for mathematical simplicity of probability functions and has a more straightforward mathematical form. In this study, the new Pareto-type distribution is used to model the income of the Malaysian upper-class group. The threshold is determined using the fixed proportion technique and the maximum likelihood estimator method is used to estimate the shape parameter. Then, the goodness-of-fit of the fit

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43

Li, Xinyang, and Xiaoling Peng. "Mean Squared Error Representative Points of Pareto Distributions and Their Estimation." Entropy 27, no. 3 (2025): 249. https://doi.org/10.3390/e27030249.

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Pareto distributions are widely applied in various fields, such as economics, finance, and environmental studies. The modeling of real-world data has created a demand for the discretization of Pareto distributions. In this paper, we propose using mean squared error representative points (MSE-RPs) as the discrete representation of Pareto distributions. We demonstrate the uniqueness and existence of these representative points under certain parameter settings and provide a theoretical k-means algorithm for the computation of MSE-RPs for Pareto I and Pareto II distributions. Furthermore, to enhan

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44

Zanni, Alberto. "Marshall and Pareto on Cournot's Elasticity and on W. Thornton." STUDI ECONOMICI, no. 102 (June 2011): 77–88. http://dx.doi.org/10.3280/ste2010-102003.

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Pareto is ungenerous towards Cournot, even if not as much as Marshall. The author thus goes on and analyses a writing by Pareto (1875) on Thornton, brought to light in 2005. Since in 1875 Pareto does not know Marshall, while he has already in mind the concept of elasticity, the a. deduces that Pareto has no intellectual debt towards Marshall for what concerns the theory of comparative costs developed by Pareto in the(1906). The a. concludes saying that Pareto recognises all his main intellectual debts, except for Cournot. Baumol and Goldfield's contrary opinion is due to a linguistic barrier.

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45

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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46

Schnattinger, T., U. Schoning, A. Marchfelder, and H. A. Kestler. "RNA-Pareto: interactive analysis of Pareto-optimal RNA sequence-structure alignments." Bioinformatics 29, no. 23 (2013): 3102–4. http://dx.doi.org/10.1093/bioinformatics/btt536.

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47

Kuwajima, Isao, Yusuke Nojima, and Hisao Ishibuchi. "Obtaining accurate classifiers with Pareto-optimal and near Pareto-optimal rules." Artificial Life and Robotics 13, no. 1 (2008): 315–19. http://dx.doi.org/10.1007/s10015-008-0544-2.

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48

Cormann, Ulf, and Rolf-Dieter Reiss. "Generalizing the Pareto to the log-Pareto model and statistical inference." Extremes 12, no. 1 (2008): 93–105. http://dx.doi.org/10.1007/s10687-008-0070-6.

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49

Tahir, Muhammad Hussain, Gauss M. Cordeiro, Muhammad Mansoor, Muhammad Zubair, and Ayman Alzaatreh. "The Kumaraswamy Pareto IV Distribution." Austrian Journal of Statistics 50, no. 5 (2021): 1–22. http://dx.doi.org/10.17713/ajs.v50i5.96.

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We introduce a new model named the Kumaraswamy Pareto IV distribution which extends the Pareto and Pareto IV distributions. The density function is very flexible and can be left-skewed, right-skewed and symmetrical shapes. It hasincreasing, decreasing, upside-down bathtub, bathtub, J and reversed-J shaped hazard rate shapes. Various structural properties are derived including explicit expressions for the quantile function, ordinary and incomplete moments,Bonferroni and Lorenz curves, mean deviations, mean residual life, mean waiting time, probability weighted moments and generating function. W

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50

Kaliszewski, Ignacy, and Janusz Miroforidis. "Primal–Dual Type Evolutionary Multiobjective Optimization." Foundations of Computing and Decision Sciences 38, no. 4 (2013): 267–75. http://dx.doi.org/10.2478/fcds-2013-0013.

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Abstract A new, primal-dual type approach for derivation of Pareto front approximations with evolutionary computations is proposed. At present, evolutionary multiobjective optimization algorithms derive a discrete approximation of the Pareto front (the set of objective maps of efficient solutions) by selecting feasible solutions such that their objective maps are close to the Pareto front. As, except of test problems, Pareto fronts are not known, the accuracy of such approximations is known neither. Here we propose to exploit also elements outside feasible sets with the aim to derive pairs of

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