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DEoptim: An R Package for Global Optimization by Differential Evolution

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Cited by:

  1. Xi Kleisinger-Yu & Vlatka Komaric & Martin Larsson & Markus Regez, 2019. "A multi-factor polynomial framework for long-term electricity forwards with delivery period," Papers 1908.08954, arXiv.org, revised Jun 2020.
  2. Lucia Zanotto & Vladimir Canudas-Romo & Stefano Mazzuco, 2021. "A Mixture-Function Mortality Model: Illustration of the Evolution of Premature Mortality," European Journal of Population, Springer;European Association for Population Studies, vol. 37(1), pages 1-27, March.
  3. Constantino Caetano & Maria Luísa Morgado & Paula Patrício & João F. Pereira & Baltazar Nunes, 2021. "Mathematical Modelling of the Impact of Non-Pharmacological Strategies to Control the COVID-19 Epidemic in Portugal," Mathematics, MDPI, vol. 9(10), pages 1-16, May.
  4. Nölte, Anja & Yousefpour, Rasoul & Hanewinkel, Marc, 2020. "Changes in sessile oak (Quercus petraea) productivity under climate change by improved leaf phenology in the 3-PG model," Ecological Modelling, Elsevier, vol. 438(C).
  5. Jéfferson Colombo & Peter Wanke & Jorge Antunes & Abul Kalam Azad, 2022. "Unveiling endogeneity between competition and efficiency in European banks: a robust econometric-neural network approach," SN Business & Economics, Springer, vol. 2(3), pages 1-46, March.
  6. Jules Clement Mba & Sutene Mwambi, 2020. "A Markov-switching COGARCH approach to cryptocurrency portfolio selection and optimization," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 199-214, June.
  7. Muñoz-Mas, Rafael & Marcos-Garcia, Patricia & Lopez-Nicolas, Antonio & Martínez-García, Francisco J. & Pulido-Velazquez, Manuel & Martínez-Capel, Francisco, 2018. "Combining literature-based and data-driven fuzzy models to predict brown trout (Salmo trutta L.) spawning habitat degradation induced by climate change," Ecological Modelling, Elsevier, vol. 386(C), pages 98-114.
  8. Goodness C. Aye & Giray Gozgor & Rangan Gupta, 2020. "Dynamic and Asymmetric Response of Inequality to Income Volatility: The Case of the United Kingdom," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 747-762, February.
  9. Antunes, Jorge & Tan, Yong & Wanke, Peter & Jabbour, Charbel Jose Chiappetta, 2023. "Impact of R&D and innovation in Chinese road transportation sustainability performance: A novel trigonometric envelopment analysis for ideal solutions (TEA-IS)," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
  10. Scheiter, Simon & Schulte, Judith & Pfeiffer, Mirjam & Martens, Carola & Erasmus, Barend F.N. & Twine, Wayne C., 2019. "How Does Climate Change Influence the Economic Value of Ecosystem Services in Savanna Rangelands?," Ecological Economics, Elsevier, vol. 157(C), pages 342-356.
  11. Ferlito, S. & Adinolfi, G. & Graditi, G., 2017. "Comparative analysis of data-driven methods online and offline trained to the forecasting of grid-connected photovoltaic plant production," Applied Energy, Elsevier, vol. 205(C), pages 116-129.
  12. Pascoe, Sean & Hutton, Trevor & Hoshino, Eriko & Sporci, Miriana & Yamasaki, Satoshi & Kompas, Tom, 2020. "Effectiveness of harvest strategies in achieving multiple management objectives in a multispecies fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
  13. William Lim & Gaurav Khemka & David Pitt & Bridget Browne, 2019. "A method for calculating the implied no-recovery three-state transition matrix using observable population mortality incidence and disability prevalence rates among the elderly," Journal of Population Research, Springer, vol. 36(3), pages 245-282, September.
  14. Yong Tan & Peter Wanke & Jorge Antunes & Ali Emrouznejad, 2021. "Unveiling endogeneity between competition and efficiency in Chinese banks: a two-stage network DEA and regression analysis," Annals of Operations Research, Springer, vol. 306(1), pages 131-171, November.
  15. Cano Berlanga, Sebastian & Giménez Gómez, José M. (José Manuel), 2016. "On Chinese stock markets: How have they evolved along time?," Working Papers 2072/267085, Universitat Rovira i Virgili, Department of Economics.
  16. Prudentia Zikalala & Isaya Kisekka & Mark Grismer, 2019. "Calibration and Global Sensitivity Analysis for a Salinity Model Used in Evaluating Fields Irrigated with Treated Wastewater in the Salinas Valley," Agriculture, MDPI, vol. 9(2), pages 1-33, February.
  17. Benham, Tim & Duan, Qibin & Kroese, Dirk P. & Liquet, Benoît, 2017. "CEoptim: Cross-Entropy R Package for Optimization," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i08).
  18. Scheiter, Simon & Savadogo, Patrice, 2016. "Ecosystem management can mitigate vegetation shifts induced by climate change in West Africa," Ecological Modelling, Elsevier, vol. 332(C), pages 19-27.
  19. Andrey Chetverikov & Janneke F. M. Jehee, 2023. "Motion direction is represented as a bimodal probability distribution in the human visual cortex," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  20. Steele Christopher D. & Greenhalgh Matthew & Balding David J., 2016. "Evaluation of low-template DNA profiles using peak heights," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(5), pages 431-445, October.
  21. Simon Ciranka & Juan Linde-Domingo & Ivan Padezhki & Clara Wicharz & Charley M. Wu & Bernhard Spitzer, 2022. "Asymmetric reinforcement learning facilitates human inference of transitive relations," Nature Human Behaviour, Nature, vol. 6(4), pages 555-564, April.
  22. Alves, André Bernardo & Wanke, Peter & Antunes, Jorge & Chen, Zhongfei, 2020. "Endogenous network efficiency, macroeconomy, and competition: Evidence from the Portuguese banking industry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
  23. Mullen, Katharine M., 2014. "Continuous Global Optimization in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 60(i06).
  24. Bisht Deepak & Laha, A. K., 2017. "Pricing Option on Commodity Futures under String Shock," IIMA Working Papers WP 2017-07-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
  25. Ardia, David & Boudt, Kris & Carl, Peter & Mullen, Katharine M. & Peterson, Brian, 2010. "Differential Evolution (DEoptim) for Non-Convex Portfolio Optimization," MPRA Paper 22135, University Library of Munich, Germany.
  26. Van Kinh Nguyen & Frank Klawonn & Rafael Mikolajczyk & Esteban A Hernandez-Vargas, 2016. "Analysis of Practical Identifiability of a Viral Infection Model," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-16, December.
  27. Marchetti, Dalmo & Wanke, Peter, 2020. "Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
  28. Arne Henningsen & Ott Toomet, 2011. "maxLik: A package for maximum likelihood estimation in R," Computational Statistics, Springer, vol. 26(3), pages 443-458, September.
  29. Sebastián Cano-Berlanga & José-Manuel Giménez-Gómez, 2018. "On Chinese stock markets: How have they evolved over time?," Annals of Operations Research, Springer, vol. 266(1), pages 499-510, July.
  30. Hörcher, Daniel & De Borger, Bruno & Seifu, Woubit & Graham, Daniel J., 2020. "Public transport provision under agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 81(C).
  31. Fernando Rojas & Peter Wanke & Víctor Leiva & Mauricio Huerta & Carlos Martin-Barreiro, 2022. "Modeling Inventory Cost Savings and Supply Chain Success Factors: A Hybrid Robust Compromise Multi-Criteria Approach," Mathematics, MDPI, vol. 10(16), pages 1-18, August.
  32. Shi, Yanlin, 2022. "A closed-form estimator for the Markov switching in mean model," Finance Research Letters, Elsevier, vol. 44(C).
  33. He, Yunhao & Leippold, Markus, 2020. "Short-run risk, business cycle, and the value premium," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
  34. Su, Zheng’e & Zhao, Jin & Marek, Thomas H. & Liu, Ke & Harrison, Matthew Tom & Xue, Qingwu, 2022. "Drought tolerant maize hybrids have higher yields and lower water use under drought conditions at a regional scale," Agricultural Water Management, Elsevier, vol. 274(C).
  35. Olschewski, Sebastian & Diao, Linan & Rieskamp, Jörg, 2021. "Reinforcement learning about asset variability and correlation in repeated portfolio decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
  36. Eling, Martin & Holder, Stefan, 2013. "The value of interest rate guarantees in participating life insurance contracts: Status quo and alternative product design," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 491-503.
  37. Peter L. Watson & Marika Koukoula & Emmanouil Anagnostou, 2021. "Influence of the Characteristics of Weather Information in a Thunderstorm-Related Power Outage Prediction System," Forecasting, MDPI, vol. 3(3), pages 1-20, August.
  38. Pinnschmidt, Arne & Yousefpour, Rasoul & Nölte, Anja & Hanewinkel, Marc, 2023. "Tropical mixed-species plantations can outperform monocultures in terms of carbon sequestration and economic return," Ecological Economics, Elsevier, vol. 211(C).
  39. Naomi Radke & Klaus Keller & Rasoul Yousefpour & Marc Hanewinkel, 2020. "Identifying decision-relevant uncertainties for dynamic adaptive forest management under climate change," Climatic Change, Springer, vol. 163(2), pages 891-911, November.
  40. Oktay Akkus & J. Anthony Cookson & Ali Hortaçsu, 2016. "The Determinants of Bank Mergers: A Revealed Preference Analysis," Management Science, INFORMS, vol. 62(8), pages 2241-2258, August.
  41. Gao, Guangyuan & Ho, Kin-Yip & Shi, Yanlin, 2020. "Long memory or regime switching in volatility? Evidence from high-frequency returns on the U.S. stock indices," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
  42. Moraes, Ricardo Kalil & Wanke, Peter Fernandes & Faria, João Ricardo, 2021. "Unveiling the endogeneity between social-welfare and labor efficiency: Two-stage NDEA neural network approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
  43. Rodrigues, Antonio Carlos & Martins, Ricardo Silveira & Wanke, Peter Fernandes & Siegler, Janaina, 2018. "Efficiency of specialized 3PL providers in an emerging economy," International Journal of Production Economics, Elsevier, vol. 205(C), pages 163-178.
  44. Iain Staffell & Stefan Pfenninger & Nathan Johnson, 2023. "A global model of hourly space heating and cooling demand at multiple spatial scales," Nature Energy, Nature, vol. 8(12), pages 1328-1344, December.
  45. Bergmeir, Christoph & Molina, Daniel & Benítez, José M., 2016. "Memetic Algorithms with Local Search Chains in R: The Rmalschains Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 75(i04).
  46. Wanying Fu & Barry R. Smith & Patrick Brewer & Sean Droms, 2022. "A New Mortality Framework to Identify Trends and Structural Changes in Mortality Improvement and Its Application in Forecasting," Risks, MDPI, vol. 10(8), pages 1-38, August.
  47. Kobe Desender & Luc Vermeylen & Tom Verguts, 2022. "Dynamic influences on static measures of metacognition," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  48. Ugofilippo Basellini & Vladimir Canudas-Romo & Adam Lenart, 2019. "Location–Scale Models in Demography: A Useful Re-parameterization of Mortality Models," European Journal of Population, Springer;European Association for Population Studies, vol. 35(4), pages 645-673, October.
  49. Villacorta, Pablo J. & Verdegay, José L., 2016. "FuzzyStatProb: An R Package for the Estimation of Fuzzy Stationary Probabilities from a Sequence of Observations of an Unknown Markov Chain," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(i08).
  50. Claudia Klüppelberg & Viet Son Pham, 2021. "Estimation of causal continuous‐time autoregressive moving average random fields," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(1), pages 132-163, March.
  51. Mohammad Arashi & Najmeh Nakhaei Rad & Andriette Bekker & Wolf-Dieter Schubert, 2021. "Möbius Transformation-Induced Distributions Provide Better Modelling for Protein Architecture," Mathematics, MDPI, vol. 9(21), pages 1-24, October.
  52. Gabriel Gershenfeld, 2015. "Conjoint Analysis for Ticket Offerings at the Cleveland Indians," Interfaces, INFORMS, vol. 45(2), pages 166-174, April.
  53. Arne Henningsen & Géraldine Henningsen, 2011. "Econometric Estimation of the “Constant Elasticity of Substitution" Function in R: Package micEconCES," IFRO Working Paper 2011/9, University of Copenhagen, Department of Food and Resource Economics.
  54. Ardia, David & Ospina, Juan & Giraldo, Giraldo, 2010. "Jump-Diffusion Calibration using Differential Evolution," MPRA Paper 26184, University Library of Munich, Germany, revised 25 Oct 2010.
  55. Chen, Zhongfei & Wanke, Peter & Antunes, Jorge Junio Moreira & Zhang, Ning, 2017. "Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model," Energy Economics, Elsevier, vol. 68(C), pages 89-108.
  56. Saeedimoghaddam, Mahmoud & Stepinski, T.F., 2021. "Multiplicative random cascade models of multifractal urban structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
  57. Nash, John C., 2014. "On Best Practice Optimization Methods in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 60(i02).
  58. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
  59. Hartemink, Nienke & Missov, Trifon I. & Caswell, Hal, 2017. "Stochasticity, heterogeneity, and variance in longevity in human populations," Theoretical Population Biology, Elsevier, vol. 114(C), pages 107-116.
  60. Shi, Yanlin & Ho, Kin-Yip & Liu, Wai-Man, 2016. "Public information arrival and stock return volatility: Evidence from news sentiment and Markov Regime-Switching Approach," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 291-312.
  61. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
  62. Joel E. Cohen & Christina Bohk & Roland Rau, 2018. "Gompertz, Makeham, and Siler models explain Taylor's law in human mortality data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(29), pages 773-842.
  63. Olgun Aydin & Bartłomiej Igliński & Krzysztof Krukowski & Marek Siemiński, 2022. "Analyzing Wind Energy Potential Using Efficient Global Optimization: A Case Study for the City Gdańsk in Poland," Energies, MDPI, vol. 15(9), pages 1-22, April.
  64. Jokubauskaitė, Simona & Hössinger, Reinhard & Aschauer, Florian & Gerike, Regine & Jara-Díaz, Sergio & Peer, Stefanie & Schmid, Basil & Axhausen, Kay W. & Leisch, Friedrich, 2019. "Advanced continuous-discrete model for joint time-use expenditure and mode choice estimation," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 397-421.
  65. Shi, Yanlin & Feng, Lingbing, 2016. "A discussion on the innovation distribution of the Markov regime-switching GARCH model," Economic Modelling, Elsevier, vol. 53(C), pages 278-288.
  66. Scrucca, Luca, 2013. "GA: A Package for Genetic Algorithms in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i04).
  67. Rodrigue Oeuvray & Pascal Junod, 2013. "On time scaling of semivariance in a jump-diffusion process," Papers 1311.1122, arXiv.org.
  68. Scholten, Lisa & Schuwirth, Nele & Reichert, Peter & Lienert, Judit, 2015. "Tackling uncertainty in multi-criteria decision analysis – An application to water supply infrastructure planning," European Journal of Operational Research, Elsevier, vol. 242(1), pages 243-260.
  69. Debora Gil & David Roche & Agnés Borràs & Jesús Giraldo, 2015. "Terminating evolutionary algorithms at their steady state," Computational Optimization and Applications, Springer, vol. 61(2), pages 489-515, June.
  70. You, Kisung & Suh, Changhee, 2022. "Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).
  71. Waychal, Nachiketas & Laha, Arnab Kumar & Sinha, Ankur, 2022. "Customized forecasting with Adaptive Ensemble Generator," IIMA Working Papers WP 2022-06-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
  72. Jorge Antunes & Abdollah Hadi-Vencheh & Ali Jamshidi & Yong Tan & Peter Wanke, 2022. "Bank efficiency estimation in China: DEA-RENNA approach," Annals of Operations Research, Springer, vol. 315(2), pages 1373-1398, August.
  73. Li, Jianzheng & Wang, Ligang & Luo, Zhongkui & Wang, Enli & Wang, Guocheng & Zhou, Han & Li, Hu & Xu, Shiwei, 2021. "Reducing N2O emissions while maintaining yield in a wheat–maize rotation system modelled by APSIM," Agricultural Systems, Elsevier, vol. 194(C).
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