EDP Sciences logo
Submit your paper
Search
Menu
Home All issues Volume 16 (2025) Int. J. Simul. Multidisci. Des. Optim., 16 (2025) 16 References
Issue
Int. J. Simul. Multidisci. Des. Optim.
Volume 16, 2025
Multi-modal Information Learning and Analytics on Cross-Media Data Integration
Article Number 16
Number of page(s) 15
DOI https://doi.org/10.1051/smdo/2025018
Published online 20 October 2025
  1. H. Mohapatra, A.K. Rath, An IoT based efficient multi-objective real-time smart parking system, Int. J. Sens. Netw. 37, 219–232 (2021) [Google Scholar]
  2. H. Ma, Y. Zhang, S. Sun et al., A comprehensive survey on NSGA-II for multi-objective optimization and applications, Artif. Intell. Rev. 56, 15217–15270 (2023) [Google Scholar]
  3. Q. Sun, T. Chen, S. Liu et al., Correlated multi-objective multi-fidelity optimization for HLS directives design, ACM Trans. Design Autom. Electron. Syst. (TODAES) 27, 1–27 (2022) [Google Scholar]
  4. S. Wicki, J. Schwaab, J. Perhac et al., Participatory multi-objective optimization for planning dense and green cities, J. Environ. Plann. Manag. 64, 2532–2551 (2021) [Google Scholar]
  5. J. Van Ameijde, C.Y. Ma, G. Goepel et al., Data-driven placemaking: Public space canopy design through multi-objective optimisation considering shading, structural and social performance, Front. Archit. Res. 11, 308–323 (2022) [Google Scholar]
  6. C.H. Wang, N. Chen, A multi-objective optimization approach to balancing economic efficiency and equity in accessibility to multi-use paths, Transportation 48, 1967–1986 (2021) [Google Scholar]
  7. L. Eriskin, M. Karatas, Y.J. Zheng, A robust multi-objective model for healthcare resource management and location planning during pandemics, Ann. Oper. Res. 335, 1471–1518 (2024) [Google Scholar]
  8. A. Elsheikh, I. Motawa, E. Diab, Multi-objective genetic algorithm optimization model for energy efficiency of residential building envelope under different climatic conditions in Egypt, Int. J. Constr. Manag. 23, 1244–1253 (2023) [Google Scholar]
  9. P. Praneetpholkrang, S. Kanjanawattana, A multi-objective optimization model for shelter location-allocation in response to humanitarian relief logistics, Asian J. Shipp. Logist. 37, 149–156 (2021) [Google Scholar]
  10. H.K. Bhuyan, V. Ravi, M.S. Yadav, Multi-objective optimization-based privacy in data mining, Cluster Comput. 25, 4275–4287 (2022) [Google Scholar]
  11. S. Zhong, Y. Jiang, O.A. Nielsen, Lexicographic multi-objective road pricing optimization considering land use and transportation effects, Eur. J. Oper. Res. 298, 496–509 (2022) [Google Scholar]
  12. P. Ghasemi, H. Hemmaty, A. Pourghader Chobar et al., A multi-objective and multi-level model for location-routing problem in the supply chain based on the customer’s time window, J. Appl. Res. Ind. Eng. 10, 412–426 (2023) [Google Scholar]
  13. G.R. Araújo, R. Gomes, P. Ferrão et al., Optimizing building retrofit through data analytics: A study of multi-objective optimization and surrogate models derived from energy performance certificates, Energy Built Environ. 5, 889–899 (2024) [Google Scholar]
  14. J. Chen, K. Li, K. Li et al., Dynamic bicycle dispatching of dockless public bicycle-sharing systems using multi-objective reinforcement learning, ACM Trans. Cyber-Phys. Syst. (TCPS) 5, 1–24 (2021) [Google Scholar]
  15. M.H. Almasi, Y. Oh, A. Sadollah et al., Urban transit network optimization under variable demand with single and multi-objective approaches using metaheuristics: The case of Daejeon, Korea, Int. J. Sustain. Transp. 15, 386–406 (2021) [Google Scholar]
  16. Z. Wang, Q. Han, B. De Vries, Land use spatial optimization using accessibility maps to integrate land use and transport in urban areas, Appl. Spat. Anal. Policy 15, 1193–1217 (2022) [Google Scholar]
  17. J. Dutta, P.S. Barma, A. Mukherjee et al., A hybrid multi-objective evolutionary algorithm for open vehicle routing problem through cluster primary-route secondary approach, Int. J. Manag. Sci. Eng. Manag. 17, 132–146 (2022) [Google Scholar]
  18. A. Pourghader Chobar, M.A. Adibi, A. Kazemi, A novel multi-objective model for hub location problem considering dynamic demand and environmental issues, J. Ind. Eng. Manag. Stud. 8, 1–31 (2021) [Google Scholar]
  19. B. Zhang, M. Zhao, X. Hu, Location planning of electric vehicle charging station with users’ preferences and waiting time: multi-objective bi-level programming model and HNSGA-II algorithm, Int. J. Prod. Res. 61, 1394–1423 (2023) [Google Scholar]
  20. S.M.H. Hosseini, F. Behroozi, S.S. Sana, Multi-objective optimization model for blood supply chain network design considering cost of shortage and substitution in disaster, RAIRO-Oper. Res. 57, 59–85 (2023) [Google Scholar]
  21. M. Baghoolizadeh, A.A. Nadooshan, S.A.H.H. Dehkordi et al., Multi‐objective optimization of annual electricity consumption and annual electricity production of a residential building using photovoltaic shadings, Int. J. Energy Res. 46, 21172–21216 (2022) [Google Scholar]
  22. Y. Liao, Z. Wang, C. Lai et al., A framework on fast mapping of urban flood based on a multi-objective random forest model, Int. J. Disaster Risk Sci. 14, 253–268 (2023) [Google Scholar]
  23. M.H. Abedini, H. Gholami, H. Sangin, Multi-objective optimization of window and shading systems for enhanced office building performance: A case study in Qom, Iran, J. Daylighting. 12, 91–110 (2025) [Google Scholar]
  24. C. Olivos, H. Caceres, Multi-objective optimization of ambulance location in Antofagasta, Chile, Transport 37, 177–189 (2022) [Google Scholar]
  25. M. Tadaros, A. Migdalas, Bi-and multi-objective location routing problems: classification and literature review, Oper. Res. 22, 4641–4683 (2022) [Google Scholar]
  26. S. Chupradit, M.A. Tashtoush, M.Y.O. Al-Muttar et al., A multi-objective mathematical model for the population-based transportation network planning, Ind. Eng&. Manag. Syst. 21, 322–331 (2022) [Google Scholar]
  27. C.R. Yu, X. Liu, Q.C. Wang et al., Solving the comfort-retrofit conundrum through post-occupancy evaluation and multi-objective optimisation, Build. Serv. Eng. Res. Technol. 44, 381–403 (2023) [Google Scholar]
  28. S. Jiang, J. Zou, S. Yang et al., Evolutionary dynamic multi-objective optimisation: a survey, ACM Comput. Surv. 55, 1–47 (2022) [Google Scholar]
  29. A. Pourghader Chobar, M. Sabk Ara, S. Moradi Pirbalouti et al., A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithm, J. Appl. Res. Ind. Eng. 9, 354–373 (2022) [Google Scholar]
  30. A. Erdoğan, E. Geçici, M.G. Güler, Design of a future hydrogen supply chain: a multi-objective model for Turkey, Int. J. Hydrog. Energy 48, 11775–11789 (2023) [Google Scholar]
  31. A. Mohammed, A.M. Ghaithan, A. Al-Hanbali et al., A multi-objective optimization model based on mixed integer linear programming for sizing a hybrid PV-hydrogen storage system, Int. J. Hydrog. Energy 48, 9748–9761 (2023) [Google Scholar]
  32. S. Sharma, V. Kumar, A comprehensive review on multi-objective optimization techniques: past, present and future, Arch. Comput. Methods Eng. 29, 5605–5633 (2022) [Google Scholar]
  33. J. Dutta, P.S. Barma, A. Mukherjee et al., Multi-objective green mixed vehicle routing problem under rough environment, Transport 37, 51–63 (2022) [Google Scholar]
  34. M.M. Ershadi, H.S. Shemirani, A multi-objective optimization model for logistic planning in the crisis response phase, J. Humanit. Logist. Supply Chain Manag. 12, 30–53 (2022) [Google Scholar]
  35. I. Rahimi, A.H. Gandomi, F. Chen et al., A review on constraint handling techniques for population-based algorithms: from single-objective to multi-objective optimization, Arch. Comput. Methods Eng. 30, 2181–2209 (2023) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.