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Multi-objective meta-heuristics: An overview of the current state-of-the-art

Citations

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Cited by:

  1. Mogale, D.G. & Kumar, Mukesh & Kumar, Sri Krishna & Tiwari, Manoj Kumar, 2018. "Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 40-69.
  2. Chen, Gang & Govindan, Kannan & Golias, Mihalis M., 2013. "Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 3-22.
  3. Tarhan, İstenç & Zografos, Konstantinos G. & Sutanto, Juliana & Kheiri, Ahmed, 2024. "A quadrant shrinking heuristic for solving the dynamic multi-objective disaster response personnel routing and scheduling problem," European Journal of Operational Research, Elsevier, vol. 314(2), pages 776-791.
  4. Andreas C. Nearchou, 2018. "Multicriteria scheduling optimization using an elitist multiobjective population heuristic: the h-NSDE algorithm," Journal of Heuristics, Springer, vol. 24(6), pages 817-851, December.
  5. Shyamal Gondkar & Sivakumar Sreeramagiri & Edwin Zondervan, 2012. "Methodology for Assessment and Optimization of Industrial Eco-Systems," Challenges, MDPI, vol. 3(1), pages 1-21, June.
  6. Isaías Gomes & Karol Bot & Maria Graça Ruano & António Ruano, 2022. "Recent Techniques Used in Home Energy Management Systems: A Review," Energies, MDPI, vol. 15(8), pages 1-41, April.
  7. Fangzi Liu & Zihong Li & Hua Xie & Lei Yang & Minghua Hu, 2021. "Predicting Fuel Consumption Reduction Potentials Based on 4D Trajectory Optimization with Heterogeneous Constraints," Sustainability, MDPI, vol. 13(13), pages 1-33, June.
  8. Turkensteen, Marcel & Sierksma, Gerard & Wieringa, Jaap E., 2011. "Balancing the fit and logistics costs of market segmentations," European Journal of Operational Research, Elsevier, vol. 213(1), pages 340-348, August.
  9. Schweiger, Katharina & Sahamie, Ramin, 2013. "A hybrid Tabu Search approach for the design of a paper recycling network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 98-119.
  10. Rong, Aiying & Figueira, José Rui, 2013. "A reduction dynamic programming algorithm for the bi-objective integer knapsack problem," European Journal of Operational Research, Elsevier, vol. 231(2), pages 299-313.
  11. Isada, Yuriko & James, Ross J. W. & Nakagawa, Yuji, 2005. "An approach for solving nonlinear multi-objective separable discrete optimization problem with one constraint," European Journal of Operational Research, Elsevier, vol. 162(2), pages 503-513, April.
  12. J E C Arroyo & V A Armentano, 2004. "A partial enumeration heuristic for multi-objective flowshop scheduling problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(9), pages 1000-1007, September.
  13. Rong, Aiying & Figueira, José Rui, 2014. "Dynamic programming algorithms for the bi-objective integer knapsack problem," European Journal of Operational Research, Elsevier, vol. 236(1), pages 85-99.
  14. Long, Jiancheng & Szeto, W.Y. & Huang, Hai-Jun, 2014. "A bi-objective turning restriction design problem in urban road networks," European Journal of Operational Research, Elsevier, vol. 237(2), pages 426-439.
  15. Raja Awais Liaqait & Shermeen Hamid & Salman Sagheer Warsi & Azfar Khalid, 2021. "A Critical Analysis of Job Shop Scheduling in Context of Industry 4.0," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
  16. C Alabas-Uslu, 2008. "A self-tuning heuristic for a multi-objective vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 988-996, July.
  17. David Raz & Yuval Beck, 2020. "An Operational Approach to Multi-Objective Optimization for Volt-VAr Control," Energies, MDPI, vol. 13(22), pages 1-14, November.
  18. Yu, Shiwei & Zheng, Shuhong & Gao, Shiwei & Yang, Juan, 2017. "A multi-objective decision model for investment in energy savings and emission reductions in coal mining," European Journal of Operational Research, Elsevier, vol. 260(1), pages 335-347.
  19. Zhou, Liping & Geng, Na & Jiang, Zhibin & Wang, Xiuxian, 2018. "Multi-objective capacity allocation of hospital wards combining revenue and equity," Omega, Elsevier, vol. 81(C), pages 220-233.
  20. Xiaofeng Lv & Deyun Zhou & Yongchuan Tang & Ling Ma, 2018. "An Improved Test Selection Optimization Model Based on Fault Ambiguity Group Isolation and Chaotic Discrete PSO," Complexity, Hindawi, vol. 2018, pages 1-10, January.
  21. Kulturel-Konak, Sadan & Smith, Alice E. & Norman, Bryan A., 2006. "Multi-objective tabu search using a multinomial probability mass function," European Journal of Operational Research, Elsevier, vol. 169(3), pages 918-931, March.
  22. Jian Zhang & Guofu Ding & Yisheng Zou & Shengfeng Qin & Jianlin Fu, 2019. "Review of job shop scheduling research and its new perspectives under Industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1809-1830, April.
  23. Prashant M. Ambad & Makarand S. Kulkarni, 2017. "A goal programming approach for multi-objective warranty optimization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(4), pages 842-861, December.
  24. Molina, Julin & Santana, Luis V. & Hernandez-Daz, Alfredo G. & Coello Coello, Carlos A. & Caballero, Rafael, 2009. "g-dominance: Reference point based dominance for multiobjective metaheuristics," European Journal of Operational Research, Elsevier, vol. 197(2), pages 685-692, September.
  25. Xiaoya Ma & Xiang Zhao, 2015. "Land Use Allocation Based on a Multi-Objective Artificial Immune Optimization Model: An Application in Anlu County, China," Sustainability, MDPI, vol. 7(11), pages 1-20, November.
  26. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
  27. Lee, Sangkeum & Cho, Hong-Yeon & Har, Dongsoo, 2018. "Operation optimization with jointly controlled modules powered by hybrid energy source: A case study of desalination," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3070-3080.
  28. Sieja, Marek & Wach, Krzysztof, 2008. "Implementacja algorytmów ewolucyjnych w gospodarce opartej na wiedzy [Implementation of Evolutionary Algorithms in the Knowledge-Based Economy]," MPRA Paper 31620, University Library of Munich, Germany.
  29. Frota Neto, J. Quariguasi & Bloemhof-Ruwaard, J.M. & van Nunen, J.A.E.E. & van Heck, E., 2008. "Designing and evaluating sustainable logistics networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 195-208, February.
  30. Tsai, Wen-Ping & Cheng, Chung-Lien & Uen, Tinn-Shuan & Zhou, Yanlai & Chang, Fi-John, 2019. "Drought mitigation under urbanization through an intelligent water allocation system," Agricultural Water Management, Elsevier, vol. 213(C), pages 87-96.
  31. Alejandro Rodríguez-Molina & José Solís-Romero & Miguel Gabriel Villarreal-Cervantes & Omar Serrano-Pérez & Geovanni Flores-Caballero, 2021. "Path-Planning for Mobile Robots Using a Novel Variable-Length Differential Evolution Variant," Mathematics, MDPI, vol. 9(4), pages 1-20, February.
  32. Hernandez, M. & Gómez, T. & Molina, J. & León, M.A. & Caballero, R., 2014. "Efficiency in forest management: A multiobjective harvest scheduling model," Journal of Forest Economics, Elsevier, vol. 20(3), pages 236-251.
  33. Surico, M. & Kaymak, U. & Naso, D. & Dekker, R., 2006. "Hybrid Meta-Heuristics for Robust Scheduling," ERIM Report Series Research in Management ERS-2006-018-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  34. Matthias Ehrgott & Xavier Gandibleux, 2004. "Approximative solution methods for multiobjective combinatorial optimization," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 1-63, June.
  35. Choobineh, F. Fred & Mohebbi, Esmail & Khoo, Hansen, 2006. "A multi-objective tabu search for a single-machine scheduling problem with sequence-dependent setup times," European Journal of Operational Research, Elsevier, vol. 175(1), pages 318-337, November.
  36. Weng Hoe Lam & Weng Siew Lam & Pei Fun Lee, 2024. "A Bibliometric Analysis of a Genetic Algorithm for Supply Chain Agility," Mathematics, MDPI, vol. 12(8), pages 1-22, April.
  37. Tarik Chargui & Abdelghani Bekrar & Mohamed Reghioui & Damien Trentesaux, 2019. "Multi-Objective Sustainable Truck Scheduling in a Rail–Road Physical Internet Cross-Docking Hub Considering Energy Consumption," Sustainability, MDPI, vol. 11(11), pages 1-23, June.
  38. Lin, C.K.Y. & Kwok, R.C.W., 2006. "Multi-objective metaheuristics for a location-routing problem with multiple use of vehicles on real data and simulated data," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1833-1849, December.
  39. Lin, Qiuzhen & Li, Jianqiang & Du, Zhihua & Chen, Jianyong & Ming, Zhong, 2015. "A novel multi-objective particle swarm optimization with multiple search strategies," European Journal of Operational Research, Elsevier, vol. 247(3), pages 732-744.
  40. M.V. Judy & K.S. Ravichandran & K. Murugesan, 2009. "A multi-objective evolutionary algorithm for protein structure prediction with immune operators," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(4), pages 407-413.
  41. KIlIç, Murat & Ulusoy, Gündüz & Serifoglu, Funda Sivrikaya, 2008. "A bi-objective genetic algorithm approach to risk mitigation in project scheduling," International Journal of Production Economics, Elsevier, vol. 112(1), pages 202-216, March.
  42. Gerardo Minella & Rubén Ruiz & Michele Ciavotta, 2008. "A Review and Evaluation of Multiobjective Algorithms for the Flowshop Scheduling Problem," INFORMS Journal on Computing, INFORMS, vol. 20(3), pages 451-471, August.
  43. Jaeggi, D.M. & Parks, G.T. & Kipouros, T. & Clarkson, P.J., 2008. "The development of a multi-objective Tabu Search algorithm for continuous optimisation problems," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1192-1212, March.
  44. Juan Villegas & Fernando Palacios & Andrés Medaglia, 2006. "Solution methods for the bi-objective (cost-coverage) unconstrained facility location problem with an illustrative example," Annals of Operations Research, Springer, vol. 147(1), pages 109-141, October.
  45. Gang Chen & Liping Jiang, 2016. "Managing customer arrivals with time windows: a case of truck arrivals at a congested container terminal," Annals of Operations Research, Springer, vol. 244(2), pages 349-365, September.
  46. Julian Molina & Manuel Laguna & Rafael Martí & Rafael Caballero, 2007. "SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization," INFORMS Journal on Computing, INFORMS, vol. 19(1), pages 91-100, February.
  47. Peng He & Xin Zhou & Mingqun Liu & Kewei Xu & Xian Meng & Bo Yang, 2023. "Generalized Regression Neural Network Based Meta-Heuristic Algorithms for Parameter Identification of Proton Exchange Membrane Fuel Cell," Energies, MDPI, vol. 16(14), pages 1-30, July.
  48. Akash Tayal & Surya Prakash Singh, 2018. "Integrating big data analytic and hybrid firefly-chaotic simulated annealing approach for facility layout problem," Annals of Operations Research, Springer, vol. 270(1), pages 489-514, November.
  49. Tan, K.C. & Goh, C.K. & Yang, Y.J. & Lee, T.H., 2006. "Evolving better population distribution and exploration in evolutionary multi-objective optimization," European Journal of Operational Research, Elsevier, vol. 171(2), pages 463-495, June.
  50. Surafel Luleseged Tilahun & Mohamed A. Tawhid, 2019. "Swarm hyperheuristic framework," Journal of Heuristics, Springer, vol. 25(4), pages 809-836, October.
  51. Tom Rihm & Philipp Baumann, 2018. "Staff assignment with lexicographically ordered acceptance levels," Journal of Scheduling, Springer, vol. 21(2), pages 167-189, April.
  52. Arroyo, Jose Elias Claudio & Armentano, Vinicius Amaral, 2005. "Genetic local search for multi-objective flowshop scheduling problems," European Journal of Operational Research, Elsevier, vol. 167(3), pages 717-738, December.
  53. Selçuklu, Saltuk Buğra & Coit, David W. & Felder, Frank A., 2020. "Pareto uncertainty index for evaluating and comparing solutions for stochastic multiple objective problems," European Journal of Operational Research, Elsevier, vol. 284(2), pages 644-659.
  54. Józefowska, J. & Zimniak, A., 2008. "Optimization tool for short-term production planning and scheduling," International Journal of Production Economics, Elsevier, vol. 112(1), pages 109-120, March.
  55. Helenice de Oliveira Florentino & Chandra Irawan & Angelo Filho Aliano & Dylan F. Jones & Daniela Renata Cantane & Jonis Jecks Nervis, 2018. "A multiple objective methodology for sugarcane harvest management with varying maturation periods," Annals of Operations Research, Springer, vol. 267(1), pages 153-177, August.
  56. K Echtle & I Eusgeld & D Hirsch, 2008. "Genetic multistart algorithm for the design of fault-tolerant systems," Journal of Risk and Reliability, , vol. 222(1), pages 17-29, March.
  57. T. Gómez & M. Hernández & J. Molina & M. León & E. Aldana & R. Caballero, 2011. "A multiobjective model for forest planning with adjacency constraints," Annals of Operations Research, Springer, vol. 190(1), pages 75-92, October.
  58. Abouei Ardakan, Mostafa & Rezvan, Mohammad Taghi, 2018. "Multi-objective optimization of reliability–redundancy allocation problem with cold-standby strategy using NSGA-II," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 225-238.
  59. Nasr, Eman S. & Kilgour, Marc D. & Noori, Hamid, 2015. "Strategizing niceness in co-opetition: The case of knowledge exchange in supply chain innovation projects," European Journal of Operational Research, Elsevier, vol. 244(3), pages 845-854.
  60. João Claro & Jorge Sousa, 2010. "A multiobjective metaheuristic for a mean-risk static stochastic knapsack problem," Computational Optimization and Applications, Springer, vol. 46(3), pages 427-450, July.
  61. Dai, Rui & Hu, Mengqi & Yang, Dong & Chen, Yang, 2015. "A collaborative operation decision model for distributed building clusters," Energy, Elsevier, vol. 84(C), pages 759-773.
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