Literatura científica selecionada sobre o tema "Time-Dependent preference"
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Artigos de revistas sobre o assunto "Time-Dependent preference"
Toure, M. Wyatt, Fletcher J. Young, W. Owen McMillan e Stephen H. Montgomery. "Heliconiini butterflies can learn time-dependent reward associations". Biology Letters 16, n.º 9 (setembro de 2020): 20200424. http://dx.doi.org/10.1098/rsbl.2020.0424.
Texto completo da fonteChu, Hsun, Ching-chong Lai e Chih-hsing Liao. "A NOTE ON ENVIRONMENT-DEPENDENT TIME PREFERENCES". Macroeconomic Dynamics 20, n.º 6 (16 de abril de 2015): 1652–67. http://dx.doi.org/10.1017/s1365100514000960.
Texto completo da fonteTrope, Yaacov, e Nira Liberman. "Temporal construal and time-dependent changes in preference." Journal of Personality and Social Psychology 79, n.º 6 (2000): 876–89. http://dx.doi.org/10.1037/0022-3514.79.6.876.
Texto completo da fonteChen, Shou, e Guangbing Li. "Time-Inconsistent Preferences, Retirement, and Increasing Life Expectancy". Mathematical Problems in Engineering 2019 (10 de janeiro de 2019): 1–9. http://dx.doi.org/10.1155/2019/8681471.
Texto completo da fonteLin, Chaonan, Hong-Yi Chen, Kuan-Cheng Ko e Nien-Tzu Yang. "Time-dependent lottery preference and the cross-section of stock returns". Journal of Empirical Finance 64 (dezembro de 2021): 272–94. http://dx.doi.org/10.1016/j.jempfin.2021.09.005.
Texto completo da fonteBaucells, Manel, e Lin Zhao. "Everything in Moderation: Foundations and Applications of the Satiation Model". Management Science 66, n.º 12 (dezembro de 2020): 5701–19. http://dx.doi.org/10.1287/mnsc.2019.3505.
Texto completo da fonteCirillo, Cinzia, Yan Liu e Michael Maness. "A time-dependent stated preference approach to measuring vehicle type preferences and market elasticity of conventional and green vehicles". Transportation Research Part A: Policy and Practice 100 (junho de 2017): 294–310. http://dx.doi.org/10.1016/j.tra.2017.04.028.
Texto completo da fonteGecu, Zeynep, e Kursat Cagiltay. "Mental Rotation Ability and Computer Game Experience". International Journal of Game-Based Learning 5, n.º 4 (outubro de 2015): 15–26. http://dx.doi.org/10.4018/ijgbl.2015100102.
Texto completo da fonteSen, Rohini, Alan L. Shields e Koichiro Atsuda. "Patient Preference for Once-Weekly Dosing in Type 2 Diabetes Mellitus in Japan". Journal of Health Economics and Outcomes Research 4, n.º 1 (18 de março de 2016): 55–66. http://dx.doi.org/10.36469/9826.
Texto completo da fonteLubbers, Bart R., Mariana R. Matos, Annemarie Horn, Esther Visser, Rolinka C. Van der Loo, Yvonne Gouwenberg, Gideon F. Meerhoff et al. "The Extracellular Matrix Protein Brevican Limits Time-Dependent Enhancement of Cocaine Conditioned Place Preference". Neuropsychopharmacology 41, n.º 7 (29 de dezembro de 2015): 1907–16. http://dx.doi.org/10.1038/npp.2015.361.
Texto completo da fonteTeses / dissertações sobre o assunto "Time-Dependent preference"
Gao, Liping. "Efficient approaches for large-scale time-dependent route planning problems with traveler's preference". Electronic Thesis or Diss., université Paris-Saclay, 2023. https://www.biblio.univ-evry.fr/theses/2023/interne/2023UPASG084.pdf.
Texto completo da fonteTime-dependent route planning in real-world networks is still a big challenge today. In addition, travelers may have multi-preferences such as travel time, beautiful scenery, safety, and low carbon, simultaneously. With the development of infrastructures and the advancement of information technology, various spatio-temporal data that record the interactions between humans and the cyber-physical world can be collected and used to design traveler's preference-driven route planning. However, most of research focuses on finding the shortest path in a time-dependent network. In particular, 1) some works focus on optimizing the total traveler's preference score, but only propose a non-linear model that cannot be efficiently addressed; 2) few works investigate multi-objective time-dependent route planning problems, in which traveler preference score is assumed to be unvarying. However, traveler preference can vary with time; 3) recent works study group-oriented route planning problems, but consider the travel time and traveler preference to be time-unvarying. To reduce theory and practice gaps, three new time-dependent route planning problems with traveler's preference (TRPPs-TP) are investigated in this thesis.Firstly, a single-objective TRPP-TP is investigated in that the preference score on road segments is assumed to be time-dependent. The objective is to maximize the total preference score. For the problem, an integer linear programming model is proposed, and the NP-hard complexity of the problem is analyzed. To address the problem efficiently, a novel two-phase method is developed. Numerical experiments on randomly generated road networks and real-world road networks demonstrate the superiority of the developed method.Secondly, a bi-objective TRPP-TP with the time-dependent preference score is studied. The first objective is to maximize the total preference score, and the second one is to minimize the total travel time. For the problem, an integer linear programming model is formulated. For the problem, an exact epsilon-constraint method is applied to find the Pareto front on small-sized instances. To handle large-sized instances, an efficient problem-specific non-dominated sorting genetic algorithm-II (NSGA-II) is developed. Especially, a new region-based coding is designed and a feasible route condition is provided to find near-optimal solutions in a reasonable computation time. Experiments on randomly generated road networks and real-world road networks demonstrate the performance of the proposed NSGA-II.Finally, a bi-objective eco-friendly group-oriented TRPP-TP is addressed. The first objective is to maximize the total traveler preference score and the second one is to minimize the total CO2 emissions. For this problem, a new integer linear programming model is proposed, and an epsilon-constraint method is used. Numerical experiments on randomly generated road networks are conducted to find the best balancing solutions
Livros sobre o assunto "Time-Dependent preference"
Abellan, Jose Maria, Carmen Herrero e Jose Luis Pinto. QALY-Based Cost-Effectiveness Analysis. Editado por Matthew D. Adler e Marc Fleurbaey. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199325818.013.8.
Texto completo da fonteCapítulos de livros sobre o assunto "Time-Dependent preference"
Baum, Moritz, Julian Dibbelt, Thomas Pajor e Dorothea Wagner. "Dynamic Time-Dependent Route Planning in Road Networks with User Preferences". In Experimental Algorithms, 33–49. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38851-9_3.
Texto completo da fonteDavies, Derek C., e Bryan D. Youngt. "Chromosome analysis and sorting by flow cytometry". In Flow Cytometry, 189–202. Oxford University PressOxford, 2000. http://dx.doi.org/10.1093/oso/9780199638253.003.0012.
Texto completo da fonteBöckenholt, Ulf. "Modeling Time-Dependent Preferences". In Visualization of Categorical Data, 461–75. Elsevier, 1998. http://dx.doi.org/10.1016/b978-012299045-8/50035-8.
Texto completo da fonteCoolbear, Tim, Nathalie Janin, Rachel Traill e Rebecca Shingleton. "Sensory properties of milk: understanding and analysis". In Understanding and improving the functional and nutritional properties of milk, 557–92. Burleigh Dodds Science Publishing, 2022. http://dx.doi.org/10.19103/as.2022.0099.17.
Texto completo da fonteTrope, Yaacov, e Nira Liberman. "Temporal Construal Theory of Time-Dependent Preferences". In The Psychology of Economic Decisions, 235–50. Oxford University PressOxford, 2003. http://dx.doi.org/10.1093/oso/9780199251063.003.0012.
Texto completo da fonteCang, Jianhua, e Adema Ribic. "Critical Period Plasticity and Development of Binocular Vision". In The Cerebral Cortex and Thalamus, editado por Chinfei Chen, 536–44. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/med/9780197676158.003.0051.
Texto completo da fonteAy, Cihan, e Florian Posch. "Management of pulmonary embolism in patients with cancer". In ESC CardioMed, 2790–94. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0666.
Texto completo da fontede Almeida, Giovana Goretti Feijó, e Paulo Almeida. "Territorial Brand as Strategy in Competitiveness Between Tourist Destinations". In Cases on Traveler Preferences, Attitudes, and Behaviors, 33–53. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6919-4.ch002.
Texto completo da fonteGintis, Herbert. "Decision Theory and Human Behavior". In The Bounds of Reason. Princeton University Press, 2014. http://dx.doi.org/10.23943/princeton/9780691160849.003.0001.
Texto completo da fonteBahramian, Zahra, Rahim Ali Abbaspour e Christophe Claramunt. "Toward Geospatial Collaborative Tourism Recommender Systems". In GIS Applications in the Tourism and Hospitality Industry, 212–48. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5088-4.ch010.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Time-Dependent preference"
Tantai, Xinyue. "The analysis of space junk clean-up program based on Fuzzy preference decision time-dependent model based on entropy weight and ameliorative AHP". In 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iceeecs-16.2016.71.
Texto completo da fonteCao, Huai, Xiuling Wang e Kaixuan He. "Influence Mechanism of Air Humidifier Product Color and Shape on User Preference Based on Eye Tracking". In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001704.
Texto completo da fonteWu, Bing, Xinping Yan e Yang Wang. "Dynamic Decision-Making Model for Traffic Organization Within Traffic Separation Scheme During Maritime Accident Process". In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54616.
Texto completo da fonteHatami, Mohammad, Markus Leinonen e Marian Codreanu. "Online Caching Policy with User Preferences and Time-Dependent Requests: A Reinforcement Learning Approach". In 2019 53rd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2019. http://dx.doi.org/10.1109/ieeeconf44664.2019.9048832.
Texto completo da fontePandey, Vijitashwa, e Zissimos P. Mourelatos. "Decision-Based Design Using Time-Varying Preferences Represented by Stochastic Processes". 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/detc2012-70558.
Texto completo da fonteHason, B., e Y. Y. Zeevi. "Interaction between lateral and eccentricity-dependent preferences in saccadic responses". In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.fq3.
Texto completo da fonteWu, Peizhi, Yi Tu, Xiaojie Yuan, Adam Jatowt e Zhenglu Yang. "Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks". In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/226.
Texto completo da fonteLi, Chang, e Maarten de Rijke. "Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model". In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/396.
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