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    المصدر: Ingeniería; Vol. 29 No. 1 (2024): January-April; e21162 ; Ingeniería; Vol. 29 Núm. 1 (2024): Enero-Abril; e21162 ; 2344-8393 ; 0121-750X

    وصف الملف: application/pdf; text/xml

    Relation: https://revistas.udistrital.edu.co/index.php/reving/article/view/21162/19805; https://revistas.udistrital.edu.co/index.php/reving/article/view/21162/20100; J. K. Lenstra and A. H. G. R. Kan, "Computational complexity of discrete optimization problems," A. Discrete Math., vol. 4, 2005, pp. 121-140. https://doi.org/10.1016/S0167-5060(08)70821-5; J. R. King, "The theory-practice gap in job-shop scheduling," Prod. Eng., vol. 55, no. 3, pp. 137-143, 1976. https://doi.org/10.1049/tpe.1976.0044; G. E. Vieira, J. W. Herrmann, and E. Lin, "Resheduling manufacturing system: A framework of strategies, policies, and methods," J. Sched., vol. 6, no. 1, pp. 39-62, 2003. https://doi.org/10.1023/A:1022235519958; H.-L. Fang, P. Ross, and D. Corne, "A promising genetic algorithm approach to job-shop scheduling, rescheduling, and open-shop scheduling problems," in Fifth Int. Conf. Genet. Algorithms, no. 623, pp. 375-382, 1993.; H. Li, Z. Li, L. X. Li, and B. Hu, "A production rescheduling expert simulation system," Eur. J. Oper. Res., vol. 124, no. 2, pp. 283-293, 2000. https://doi.org/10.1016/S0377-2217(99)00381-1; Y.-C. E. Li and W. H. Shaw, "Simulation modeling of a dynamic job shop rescheduling with machine availability constraints," Comput. Ind. Eng., vol. 35, no. 1-2, pp. 117-120, 1998. https://doi.org/10.1016/S0360-8352(98)00034-5; P. Moratori, S. Petrovic, and A. Vázquez, "Match-up strategies for job shop rescheduling," in Int. Conf. Ind. Eng. Other App. Applied Intel. Sys., 2008, pp. 119-128. https://doi.org/10.1007/978-3-540-69052-8_13; R. E. M. Bastos, "Investigação de modelos e algoritmos para o problema do caixeiro viajante com múltiplos passageiros e lotação," doctoral thesis Universidade Federal do Rio Grande do Norte, Natal, 2023.; E. Gouvêa and M. Goldbarg, "ProtoG: A computational transgenetic algorithm," in MIC 2001-4th Metaheuristics, 2001, pp. 625-630.; M. Goldbarg, E. Goldbarg, and P. Quadr, "Transgenética computacional: Uma aplicação ao problema quadrático de alocação," Pesqui. Operacional, vol. 22, pp. 359-386, 2002. https://doi.org/10.1590/S0101-74382002000300005; E. F. G. Goldbarg, M. C. Goldbarg, and L. B. Bagi, "Transgenetic algorithm: A new evolutionary perspective for heuristics design," in Proc. GECCO 2007 Genet. Evol. Comput. Conf. Companion Mater., pp. 2701-2708, 2007. https://doi.org/10.1145/1274000.1274040; M. C. Goldbarg and E. Gouvêa, "Extra-intracellular transgenetic algorithm applied to the graph coloring problem," Design, pp. 321-326, 2001.; E. F. G. Goldbarg, M. C. Goldbarg, and W. E. Costa, "A transgenetic algorithm for the permutation flow-shop sequencing problem," WSEAS Trans. Syst., vol. 1, no. 3, pp. 40-45, 2004.; E. L. Lawler, J. K. Lenstra, A. H. G. R. Kan, and D. B. Shmoys, "Sequencing and scheduling: Algorithms and complexity," Handbooks Oper. Res. Manag. Sci., vol. 4, pp. 445-522, 1993. https://doi.org/10.1016/S0927-0507(05)80189-6; M. L. Pinedo, Scheduling: Theory, algorithms, and systems, 6th ed., New York, NY, USA: Springer, 2022. https://doi.org/10.1007/978-3-031-05921-6; R. Cheng, M. Gen, and Y. Tsujimura, "A tutorial survey of job-shop scheduling problems using genetic algorithms. I. Representation," Comput. Ind. Eng., vol. 30, no. 4, pp. 983-997, 1996. https://doi.org/10.1016/0360-8352(96)00047-2; V. Suresh and D. Chaudhuri, "Dynamic scheduling: A survey of research," Int. J. Prod. Economics, vol. 32, no. 1, pp. 53-63, 1993. https://doi.org/10.1016/0925-5273(93)90007-8; Y. An, X. Chen, K. Gao, L. Zhang, Y. Li, and Z. Zhao, "A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based preventive maintenance," Expert Syst. App., vol. 212, art. 118711, Feb. 2023. https://doi.org/10.1016/j.eswa.2022.118711; C. Bierwirth and D. C. Mattfeld, "Production scheduling and rescheduling with genetic algorithms," Evol. Comput., vol. 7, no. 1, pp. 1-17, 1999. https://doi.org/10.1162/evco.1999.7.1.1; S. F. Smith, "Reactive scheduling systems," in Intelligent scheduling systems, New York, NY, USA: Springer, 1995, pp. 155-192. https://doi.org/10.1007/978-1-4615-2263-8_7; J. C. Bean, J. R. Birge, J. Mittenthal, and C. E. Noon, "Matchup scheduling with multiple resources, release dates and disruptions," Oper. Res., vol. 39, no. 3, pp. 470-483, 1991. https://doi.org/10.1287/opre.39.3.470; Y. Zhang and F. Tao, Optimization of manufacturing systems using the internet if things, London, UK: Academic Press, 2016.; R.-K. Li, Y.-T. Shyu, and S. Adiga, "A heuristic rescheduling algorithm for computer-based production scheduling systems," Int. J. Prod. Res., vol. 31, no. 8, pp. 1815-1826, 1993. https://doi.org/10.1080/00207549308956824; H.-H. Wu and R.-K. Li, "A new rescheduling method for computer based scheduling systems," Int. J. Prod. Res., vol. 33, no. 8, pp. 2097-2110, 1995. https://doi.org/10.1080/00207549508904804; L. K. Church and R. Uzsoy, "Analysis of periodic and event-driven rescheduling policies in shops," Int. J. Comput. Integr. Manuf., vol. 5, no. 3, pp. 153-163, 1992. https://doi.org/10.1080/09511929208944524; G. E. Vieira, J. W. Herrmann, and E. Lin, "Analytical models to predict the performance of a single-machine system under periodic and event-driven rescheduling strategies," Int. J. Prod. Res., vol. 38, no. 8, pp. 1899-1915, 2000. https://doi.org/10.1080/002075400188654; M. Tomassini, "A survey of genetic algorithms," in Annual reviews of computational physics III, X., Ed., Singapore: World Scientific, 1995, pp. 87-118. https://doi.org/10.1142/9789812830647_0003; J. H. Holland et al., Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence, Cambridge, MA, USA: MIT Press, 1992. https://doi.org/10.7551/mitpress/1090.001.0001; Z. H. Ahmed, "A hybrid genetic algorithm for the bottleneck traveling salesman problem," ACM Trans. Embedded Comp. Syst., vol. 12, no. 1, pp. 1-10, 2013. https://doi.org/10.1145/2406336.2406345; G. M. Morris et al., "Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function," J. Comput. Chem., vol. 19, no. 14, pp. 1639-1662, 1998. https://doi.org/10.1002/(SICI)1096-987X(19981115)19:143.0.CO;2-B; P. Moscato and C. Cotta, "A gentle introduction to memetic algorithms," in Handbook of Metaheuristics, Boston, MA, USA: Kluwer Academic Publishers, 2003, pp. 105-144. https://doi.org/10.1007/0-306-48056-5_5; N. Krasnogor and J. Smith, "A tutorial for competent memetic algorithms: Model, taxonomy, and design issues," IEEE Trans. Evol. Comput., vol. 9, no. 5, pp. 474-488, Oct. 2005. https://doi.org/10.1109/TEVC.2005.850260; H. C. Plotkin, "Non-genetic transmission of information: Candidate cognitive processes and the evolution of culture," Behav. Processes, vol. 35, no. 1, pp. 207-213, 1995. https://doi.org/10.1016/0376-6357(95)00056-9; E. Chattoe-Brown, "Just how (un)realistic are evolutionary algorithms as representations of social processes?" J. Artif. Soc. Soc. Simul., vol. 1, no. 3, pp. 1-2, 1998.; P. Merz and B. Freisleben, "A comparison of memetic algorithms, tabu search, and ant colonies for the quadratic assignment problem," in 1999 Cong. Evol. Comp.-CEC99 (Cat. No. 99TH8406), 1999, vol. 3, pp. 2063-2070.; N. J. Radcliffe and P. D. Surry, "Formal memetic algorithms," Evolutionary Computing: AISB Workshop, 1994. https://doi.org/10.1007/3-540-58483-8_1; R. Wright, "Nonzero: The logic of human destiny," Vintage, vol. 46, no. 46, art. 11, 2002.; E. O. Wilson, "Consilience: The unity of knowledge," Vintage, vol. 31, 1999.; A. O. Barboza, "Simulação e técnicas da computação evolucionária aplicadas a problemas de programação linear inteira mista," doctoral thesis, Universidade Tecnológica Federal do Paraná, Curitiba, 2005.; Goldbarg, E. F. G., Castro, M. P., and Goldbarg M. C., "A transgenetic algorithm for the gas network pipe sizing problem," Computational Methods, vol. 1, pp. 893-904, 2006.; J. S. Dhingra, K. L. Musser, and G. L. Blankenehip, "Reactive operations scheduling for flexible manufacturing systems," in 24th Conf. Winter Sim., 1993. https://doi.org/10.1145/167293.167745; A. Dutta, "Reacting to scheduling exceptions in FMS environments," IIE Trans., vol. 22, no. 4, pp. 300-314, 1990. https://doi.org/10.1080/07408179008964185; V. Subramaniam and A. S. Raheja, "mAOR: A heuristic-based reactive repair mechanism for job shop schedules," Int. J. Adv. Manuf. Technol., vol. 22, no. 9-10, pp. 669-680, 2003. https://doi.org/10.1007/s00170-003-1601-6; A. Arisha, P. Young, and M. El Baradie, "Job shop scheduling problem: An overview," in Int. Conf. Flex. Autom. Intell. Manuf. (FAIM 01), 2001, pp. 682-693.; H. Fisher and G. L. Thompson, Probabilistic learning combinations of local job-shop scheduling rules, Englewood Cliffs, NJ, USA: Prentice Hall, 1963.; J. Adams, E. Balas, and D. Zawack, "The shifting bottleneck procedure for job shop scheduling," Manage. Sci., vol. 34, no. 3, pp. 391-401, Mar. 1988. https://doi.org/10.1287/mnsc.34.3.391; T. Yamada and R. Nakano, "A genetic algorithm applicable to large-scale job-shop problems," Parallel Prob. Solv. Nature, vol. 2, pp. 283-292, 1992.; D. Applegate and W. J. Cook, "A computational study of the job-shop scheduling problem," INFORMS J. Comput., vol. 3, pp. 149-156, 1991. https://doi.org/10.1287/ijoc.3.2.149; S. Lawrence, "Resource constrained project scheduling: an experimental investigation of heuristic scheduling techniques," graduate thesis, Carnegie-Mellon University, 1984.; E. Taillard, "Benchmarks for basic scheduling problems," Eur. J. Oper. Res., vol. 64, no. 2, pp. 278-285, 1993. https://doi.org/10.1016/0377-2217(93)90182-M; M. Zweben and M. Fox, Intelligent scheduling, San Francisco, CA, USA: Morgan Kaufman Publishers Inc., 1994.; G. A. Deac and D. T. Lancu, "Trading strategy hyper-parameter optimization using genetic algorithm" in 24th Int. Conf. Control Syst. Comp. Sci. (CSCS), 2023, pp. 121-127. https://doi.org/10.1109/CSCS59211.2023.00028; K. Gao, F. Yang, M. Zhou, Q. Pan, and P. N. Suganthan, "Flexible job-shop rescheduling for new job insertion by using discrete Jaya algorithm," IEEE Trans. Cybernetics, vol. 49, no. 5, pp. 1944-1955, May 2019. https://doi.org/10.1109/TCYB.2018.2817240; L. Wang, C. Luo, and J. Cai, "A variable interval rescheduling strategy for dynamic flexible job shop scheduling problem by improved genetic algorithm," J. Adv. Trans., vol. 2017, pp. 1-12, Jan. 2017. https://doi.org/10.1155/2017/1527858; N. Kundakci and O. Kulak, "Hybrid genetic algorithms for minimizing makespan in dynamic job shop scheduling problem," Comp. Ind. Eng., vol. 96, pp. 31-51, Jun. 2016. https://doi.org/10.1016/j.cie.2016.03.011; https://revistas.udistrital.edu.co/index.php/reving/article/view/21162

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    المساهمون: Becerra, Gerardo, Ruiz, Fredy, Patino, Diego, Pham, Minh T., Lin-Shi, Xuefang

    وصف الملف: ELETTRONICO

    Relation: volume:1; firstpage:1; lastpage:14; numberofpages:14; journal:MATHEMATICS AND COMPUTERS IN SIMULATION; https://hdl.handle.net/11311/1259502; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85151461183; https://doi.org/10.1016/j.matcom.2023.03.011

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    وصف الملف: application/pdf

    Relation: Castellanos, Johanna, Correa-Flórez, Carlos Adrián, Garcés, Alejandro, et al. "An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market." Applied Energy, 343, (2023) Elsevier: https://doi.org/10.1016/j.apenergy.2023.121149.; https://hdl.handle.net/1911/114960; 1-s2-0-S0306261923005135-main; https://doi.org/10.1016/j.apenergy.2023.121149

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    المصدر: UPTC Editorial; ; Editorial UPTC

    وصف الملف: Digital (DA)

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    المصدر: Lecture Notes in Computer Science ; Pattern Recognition ; page 299-314 ; ISSN 0302-9743 1611-3349 ; ISBN 9783031784460 9783031784477

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    Conference

    المساهمون: ESTIA INSTITUTE OF TECHNOLOGY, Dipartimento di Electtronica, Informazione e Bioingegneria Politecnico Milano (POLIMI), Politecnico di Milano Milan (POLIMI), Pontificia Universidad Javeriana (PUJ), Ampère, Département Automatique pour l'Ingénierie des Systèmes (AIS), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

    المصدر: Journées couplées du GDR SEEDS et de la conférence JCGE - Jeunes Chercheurs en Génie Electrique ; https://hal.science/hal-04738842 ; Journées couplées du GDR SEEDS et de la conférence JCGE - Jeunes Chercheurs en Génie Electrique, Jun 2024, Le Croisic (FR), France

    جغرافية الموضوع: Le Croisic (FR), France

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    المساهمون: Pontificia Universidad Javeriana (PUJ), Universidad Técnica del Norte (UTN), Convertisseurs Statiques (LAPLACE-CS), LAboratoire PLasma et Conversion d'Energie (LAPLACE), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Department of Electrical Engineering Leuven (ESAT), Catholic University of Leuven = Katholieke Universiteit Leuven (KU Leuven)

    المصدر: ISSN: 1996-1073 ; Energies ; https://hal.science/hal-04283960 ; Energies, 2022, 15 (9), pp.2995. ⟨10.3390/en15092995⟩ ; https://www.mdpi.com/1996-1073/15/9/2995.

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