{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T13:42:07Z","timestamp":1770730927380,"version":"3.49.0"},"reference-count":80,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T00:00:00Z","timestamp":1707177600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T00:00:00Z","timestamp":1707177600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Equinor Brazil","award":["2017\/15736-3"],"award-info":[{"award-number":["2017\/15736-3"]}]},{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"crossref","award":["2017\/15736-3"],"award-info":[{"award-number":["2017\/15736-3"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comput Optim Appl"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1007\/s10589-024-00551-1","type":"journal-article","created":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T18:09:15Z","timestamp":1707242955000},"page":"349-378","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A benchmark generator for scenario-based discrete optimization"],"prefix":"10.1007","volume":"88","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9485-0334","authenticated-orcid":false,"given":"Matheus Bernardelli","family":"de Moraes","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4641-0684","authenticated-orcid":false,"given":"Guilherme Palermo","family":"Coelho","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,6]]},"reference":[{"key":"551_CR1","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1016\/S0098-1354(97)00234-2","volume":"22","author":"J Acevedo","year":"1998","unstructured":"Acevedo, J., Pistikopoulos, E.N.: Stochastic optimization based algorithms for process synthesis under uncertainty. Comput. Chem. Eng. 22, 647\u2013671 (1998). https:\/\/doi.org\/10.1016\/S0098-1354(97)00234-2","journal-title":"Comput. Chem. Eng."},{"issue":"2","key":"551_CR2","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1109\/TEVC.2010.2058117","volume":"15","author":"SF Adra","year":"2011","unstructured":"Adra, S.F., Fleming, P.J.: Diversity management in evolutionary many-objective optimization. IEEE Trans. Evol. Comput. 15(2), 183\u2013195 (2011). https:\/\/doi.org\/10.1109\/TEVC.2010.2058117","journal-title":"IEEE Trans. Evol. Comput."},{"key":"551_CR3","doi-asserted-by":"publisher","unstructured":"Antonio, L.M., Coello, C.A.C.: Use of cooperative coevolution for solving large scale multiobjective optimization problems. In: 2013 IEEE Congress on Evolutionary Computation, pp. 2758\u20132765. IEEE (2013). https:\/\/doi.org\/10.1109\/CEC.2013.6557903","DOI":"10.1109\/CEC.2013.6557903"},{"issue":"1","key":"551_CR4","first-page":"21","volume":"9","author":"GD Avansi","year":"2015","unstructured":"Avansi, G.D., Schiozer, D.J.: UNISIM-I: synthetic model for reservoir development and management applications. Int. J. Model. Simul. Petrol. Ind. 9(1), 21\u201330 (2015)","journal-title":"Int. J. Model. Simul. Petrol. Ind."},{"key":"551_CR5","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1016\/j.petrol.2016.11.013","volume":"149","author":"A Bagherinezhad","year":"2017","unstructured":"Bagherinezhad, A., Boozarjomehry Bozorgmehry, R., Pishvaie, M.R.: Multi-criterion based well placement and control in the water-flooding of naturally fractured reservoir. J. Petrol. Sci. Eng. 149, 675\u2013685 (2017). https:\/\/doi.org\/10.1016\/j.petrol.2016.11.013","journal-title":"J. Petrol. Sci. Eng."},{"key":"551_CR6","doi-asserted-by":"publisher","first-page":"109208","DOI":"10.1016\/j.petrol.2021.109208","volume":"208","author":"JR Bertini","year":"2022","unstructured":"Bertini, J.R., Ferreira Batista, S., Funcia, M.A., et al.: A comparison of machine learning surrogate models for net present value prediction from well placement binary data. J. Petrol. Sci. Eng. 208, 109208 (2022). https:\/\/doi.org\/10.1016\/j.petrol.2021.109208","journal-title":"J. Petrol. Sci. Eng."},{"issue":"3","key":"551_CR7","doi-asserted-by":"publisher","first-page":"1653","DOI":"10.1016\/j.ejor.2006.08.008","volume":"181","author":"N Beume","year":"2007","unstructured":"Beume, N., Naujoks, B., Emmerich, M.: SMS-EMOA: multiobjective selection based on dominated hypervolume. Eur. J. Oper. Res. 181(3), 1653\u20131669 (2007). https:\/\/doi.org\/10.1016\/j.ejor.2006.08.008","journal-title":"Eur. J. Oper. Res."},{"key":"551_CR8","doi-asserted-by":"publisher","first-page":"3190","DOI":"10.1016\/j.cma.2007.03.003","volume":"196","author":"HG Beyer","year":"2007","unstructured":"Beyer, H.G., Sendhoff, B.: Robust optimization\u2014a comprehensive survey. Comput. Methods Appl. Mech. Eng. 196, 3190\u20133218 (2007). https:\/\/doi.org\/10.1016\/j.cma.2007.03.003","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"551_CR9","doi-asserted-by":"publisher","first-page":"89497","DOI":"10.1109\/ACCESS.2020.2990567","volume":"8","author":"J Blank","year":"2020","unstructured":"Blank, J., Deb, K.: Pymoo: multi-objective optimization in python. IEEE Access 8, 89497\u201389509 (2020)","journal-title":"IEEE Access"},{"key":"551_CR10","doi-asserted-by":"publisher","unstructured":"Cai, K., Li, W., Ju, F., et\u00a0al.: A scenario-based optimization approach to robust estimation of airport apron capacity. In: 2018 Integrated Communications, Navigation, Surveillance Conference (ICNS), pp. 3A1-1\u20133A1-8 (2018). https:\/\/doi.org\/10.1109\/ICNSURV.2018.8384852","DOI":"10.1109\/ICNSURV.2018.8384852"},{"issue":"4","key":"551_CR11","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1007\/s10596-015-9507-6","volume":"19","author":"Y Chang","year":"2015","unstructured":"Chang, Y., Bouzarkouna, Z., Devegowda, D.: Multi-objective optimization for rapid and robust optimal oilfield development under geological uncertainty. Comput. Geosci. 19(4), 933\u2013950 (2015). https:\/\/doi.org\/10.1007\/s10596-015-9507-6","journal-title":"Comput. Geosci."},{"issue":"5","key":"551_CR12","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1109\/TEVC.2016.2519378","volume":"20","author":"R Cheng","year":"2016","unstructured":"Cheng, R., Jin, Y., Olhofer, M., et al.: A reference vector guided evolutionary algorithm for many-objective optimization. IEEE Trans. Evol. Comput. 20(5), 773\u2013791 (2016). https:\/\/doi.org\/10.1109\/TEVC.2016.2519378","journal-title":"IEEE Trans. Evol. Comput."},{"key":"551_CR13","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1016\/j.solener.2022.01.058","volume":"233","author":"D Cho","year":"2022","unstructured":"Cho, D., Valenzuela, J.: A scenario-based optimization model for determining the capacity of a residential off-grid PV-battery system. Sol. Energy 233, 478\u2013488 (2022). https:\/\/doi.org\/10.1016\/j.solener.2022.01.058","journal-title":"Sol. Energy"},{"key":"551_CR14","doi-asserted-by":"publisher","unstructured":"Coello Coello, C.A., Lamont, G.B., Veldhuizen, D.A.V.: Evolutionary Algorithms for Solving Multi-Objective Problems (2007). https:\/\/doi.org\/10.1007\/978-0-387-36797-2","DOI":"10.1007\/978-0-387-36797-2"},{"key":"551_CR15","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1007\/978-3-540-24694-7_71","volume":"2972","author":"CA Coello Coello","year":"2004","unstructured":"Coello Coello, C.A., Sierra, M.R.: A study of the parallelization of a coevolutionary multi-objective evolutionary algorithm. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 2972, 688\u2013697 (2004). https:\/\/doi.org\/10.1007\/978-3-540-24694-7_71","journal-title":"Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)"},{"issue":"2","key":"551_CR16","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1007\/s40747-019-0113-4","volume":"6","author":"CA Coello Coello","year":"2020","unstructured":"Coello Coello, C.A., Gonz\u00e1lez Brambila, S., Figueroa Gamboa, J., et al.: Evolutionary multiobjective optimization: open research areas and some challenges lying ahead. Complex Intell. Syst. 6(2), 221\u2013236 (2020). https:\/\/doi.org\/10.1007\/s40747-019-0113-4","journal-title":"Complex Intell. Syst."},{"key":"551_CR17","doi-asserted-by":"publisher","unstructured":"Correia, M., Hohendorff, J., Gaspar, A.T. et\u00a0al.: UNISIM-II-D: benchmark case proposal based on a carbonate reservoir. In: Day 3 Fri, November 20, 2015. SPE (2015). https:\/\/doi.org\/10.2118\/177140-MS","DOI":"10.2118\/177140-MS"},{"key":"551_CR18","doi-asserted-by":"publisher","unstructured":"Cosson, R., Santana, R., Derbel, B., et\u00a0al.: Multi-objective NK Landscapes with Heterogeneous Objectives. vol\u00a01. ACM, pp. 502\u2013510 (2022). https:\/\/doi.org\/10.1145\/3512290.3528858","DOI":"10.1145\/3512290.3528858"},{"key":"551_CR19","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1137\/S1052623496307510","volume":"8","author":"I Das","year":"1998","unstructured":"Das, I., Dennis, J.E.: Normal-boundary intersection: a new method for generating the pareto surface in nonlinear multicriteria optimization problems. SIAM J. Optim. 8, 631\u2013657 (1998). https:\/\/doi.org\/10.1137\/S1052623496307510","journal-title":"SIAM J. Optim."},{"key":"551_CR20","unstructured":"Davis, L.: Applying adaptive algorithms to epistatic domains. In: Proceedings of the 9th International Joint Conference on Artificial Intelligence, IJCAI\u201985, vol. 1, pp. 162\u2013164. Morgan Kaufmann Publishers Inc., San Francisco (1985)"},{"key":"551_CR21","doi-asserted-by":"publisher","first-page":"117251","DOI":"10.1016\/j.eswa.2022.117251","volume":"202","author":"MB de Moraes","year":"2022","unstructured":"de Moraes, M.B., Coelho, G.P.: A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu search and MOEA\/D. Expert Syst. Appl. 202, 117251 (2022). https:\/\/doi.org\/10.1016\/j.eswa.2022.117251","journal-title":"Expert Syst. Appl."},{"key":"551_CR22","doi-asserted-by":"publisher","unstructured":"de\u00a0Moraes, M.B., Coelho, G.P.: A random forest-assisted decomposition-based evolutionary algorithm for multi-objective combinatorial optimization problems. In: 2022 IEEE Congress on Evolutionary Computation (CEC), pp. 1\u20138 (2022b). https:\/\/doi.org\/10.1109\/CEC55065.2022.9870412","DOI":"10.1109\/CEC55065.2022.9870412"},{"key":"551_CR23","doi-asserted-by":"publisher","unstructured":"de\u00a0Moraes, M.B., Coelho, G.P.: Replication data for: a benchmark generator for scenario-based discrete optimization (2023). https:\/\/doi.org\/10.25824\/redu\/KF8HK6","DOI":"10.25824\/redu\/KF8HK6"},{"issue":"4","key":"551_CR24","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","volume":"18","author":"K Deb","year":"2014","unstructured":"Deb, K., Jain, H.: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, Part I: solving problems with box constraints. IEEE Trans. Evol. Comput. 18(4), 577\u2013601 (2014). https:\/\/doi.org\/10.1109\/TEVC.2013.2281535","journal-title":"IEEE Trans. Evol. Comput."},{"key":"551_CR25","doi-asserted-by":"publisher","unstructured":"Deb, K., Thiele, L., Laumanns, M., et\u00a0al.: Scalable multi-objective optimization test problems. In: Proceedings of the 2002 Congress on Evolutionary Computation. CEC\u201902 (Cat. No.02TH8600), vol. 1, pp. 825\u2013830 (2002b). https:\/\/doi.org\/10.1109\/CEC.2002.1007032","DOI":"10.1109\/CEC.2002.1007032"},{"key":"551_CR26","doi-asserted-by":"publisher","unstructured":"Deb, K., Thiele, L., Laumanns, M., et\u00a0al.: Scalable Test Problems for Evolutionary Multiobjective Optimization. Springer, London, pp. 105\u2013145 (2005). https:\/\/doi.org\/10.1007\/1-84628-137-7_6","DOI":"10.1007\/1-84628-137-7_6"},{"issue":"4","key":"551_CR27","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1162\/evco.2006.14.4.463","volume":"14","author":"K Deb","year":"2006","unstructured":"Deb, K., Gupta, H.: Introducing robustness in multi-objective optimization. Evol. Comput. 14(4), 463\u2013494 (2006). https:\/\/doi.org\/10.1162\/evco.2006.14.4.463","journal-title":"Evol. Comput."},{"issue":"2","key":"551_CR28","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., et al.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002). https:\/\/doi.org\/10.1109\/4235.996017","journal-title":"IEEE Trans. Evol. Comput."},{"key":"551_CR29","doi-asserted-by":"publisher","unstructured":"El\u00a0Ghaoui, L., Seigneuret, F.: Robust optimization methodologies for the free route concept. In: Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), vol. 3, pp. 1797\u20131799 (1998). https:\/\/doi.org\/10.1109\/ACC.1998.707324","DOI":"10.1109\/ACC.1998.707324"},{"key":"551_CR30","doi-asserted-by":"publisher","unstructured":"Fanchi, J.R.: Fundamentals of reservoir simulation. In: Principles of Applied Reservoir Simulation, pp. 163\u2013179. Elsevier (2018). https:\/\/doi.org\/10.1016\/B978-0-12-815563-9.00009-4","DOI":"10.1016\/B978-0-12-815563-9.00009-4"},{"issue":"1","key":"551_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/evco.1995.3.1.1","volume":"3","author":"CM Fonseca","year":"1995","unstructured":"Fonseca, C.M., Fleming, P.J.: An overview of evolutionary algorithms in multiobjective optimization. Evol. Comput. 3(1), 1\u201316 (1995). https:\/\/doi.org\/10.1162\/evco.1995.3.1.1","journal-title":"Evol. Comput."},{"key":"551_CR32","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1007\/s10596-013-9399-2","volume":"18","author":"RM Fonseca","year":"2014","unstructured":"Fonseca, R.M., Leeuwenburgh, O., van den Hof, P.M., et al.: Ensemble-based hierarchical multi-objective production optimization of smart wells. Comput. Geosci. 18, 449\u2013461 (2014). https:\/\/doi.org\/10.1007\/s10596-013-9399-2","journal-title":"Comput. Geosci."},{"key":"551_CR33","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1016\/j.petrol.2016.05.042","volume":"146","author":"ATF Gaspar","year":"2016","unstructured":"Gaspar, A.T.F., Barreto, C.E.A., Schiozer, D.J.: Assisted process for design optimization of oil exploitation strategy. J. Petrol. Sci. Eng. 146, 473\u2013488 (2016). https:\/\/doi.org\/10.1016\/j.petrol.2016.05.042","journal-title":"J. Petrol. Sci. Eng."},{"issue":"5","key":"551_CR34","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1007\/s00158-013-1010-x","volume":"49","author":"A Gaspar-Cunha","year":"2014","unstructured":"Gaspar-Cunha, A., Ferreira, J., Recio, G.: Evolutionary robustness analysis for multi-objective optimization: benchmark problems. Struct. Multidiscip. Optim. 49(5), 771\u2013793 (2014). https:\/\/doi.org\/10.1007\/s00158-013-1010-x","journal-title":"Struct. Multidiscip. Optim."},{"issue":"8","key":"551_CR35","doi-asserted-by":"publisher","first-page":"5960","DOI":"10.1016\/j.eswa.2010.02.008","volume":"37","author":"CK Goh","year":"2010","unstructured":"Goh, C.K., Tan, K.C., Cheong, C.Y., et al.: An investigation on noise-induced features in robust evolutionary multi-objective optimization. Expert Syst. Appl. 37(8), 5960\u20135980 (2010). https:\/\/doi.org\/10.1016\/j.eswa.2010.02.008","journal-title":"Expert Syst. Appl."},{"key":"551_CR36","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3905\/jpm.1999.319732","volume":"25","author":"RC Grinold","year":"1999","unstructured":"Grinold, R.C.: Mean-variance and scenario-based approaches to portfolio selection. J. Portfolio Manag. 25, 10\u201322 (1999). https:\/\/doi.org\/10.3905\/jpm.1999.319732","journal-title":"J. Portfolio Manag."},{"key":"551_CR37","doi-asserted-by":"publisher","unstructured":"Hajar, Z., Btissam, D., Mohamed, R.: Onsite medical waste multi-objective vehicle routing problem with time windows. In: 2018 4th International Conference on Logistics Operations Management (GOL), pp. 1\u20135 (2018). https:\/\/doi.org\/10.1109\/GOL.2018.8378086","DOI":"10.1109\/GOL.2018.8378086"},{"key":"551_CR38","doi-asserted-by":"publisher","unstructured":"Hanea, R.G., Bjorlykke, O.P., Hashmi, Y., et\u00a0al.: Robust multi-objective field development optimization for the mariner asset. In: Society of Petroleum Engineers\u2014SPE Reservoir Simulation Conference 2019, RSC 2019 (2019). https:\/\/doi.org\/10.2118\/193883-ms","DOI":"10.2118\/193883-ms"},{"key":"551_CR39","doi-asserted-by":"publisher","unstructured":"Hao, X., Lin, L.: Job shop rescheduling by using multi-objective genetic algorithm. In: The 40th International Conference on Computers and Industrial Engineering, pp. 1\u20136 (2010). https:\/\/doi.org\/10.1109\/ICCIE.2010.5668422","DOI":"10.1109\/ICCIE.2010.5668422"},{"key":"551_CR40","doi-asserted-by":"publisher","unstructured":"He, Z., Ding, J.: Robust multi-objective optimization with less computational effort. In: 1st International Conference on Industrial Artificial Intelligence, IAI 2019 (2019). https:\/\/doi.org\/10.1109\/ICIAI.2019.8850777","DOI":"10.1109\/ICIAI.2019.8850777"},{"issue":"5","key":"551_CR41","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1109\/TEVC.2005.861417","volume":"10","author":"S Huband","year":"2006","unstructured":"Huband, S., Hingston, P., Barone, L., et al.: A review of multiobjective test problems and a scalable test problem toolkit. IEEE Trans. Evol. Comput. 10(5), 477\u2013506 (2006). https:\/\/doi.org\/10.1109\/TEVC.2005.861417","journal-title":"IEEE Trans. Evol. Comput."},{"key":"551_CR42","doi-asserted-by":"publisher","first-page":"1930","DOI":"10.1021\/ie00032a007","volume":"33","author":"MG Ierapetritou","year":"1994","unstructured":"Ierapetritou, M.G., Pistikopoulos, E.N.: Novel optimization approach of stochastic planning models. Ind. Eng. Chem. Res. 33, 1930\u20131942 (1994). https:\/\/doi.org\/10.1021\/ie00032a007","journal-title":"Ind. Eng. Chem. Res."},{"key":"551_CR43","doi-asserted-by":"publisher","unstructured":"Iorio, A.W., Li, X.: A cooperative coevolutionary multiobjective algorithm using non-dominated sorting. In: Deb K (ed) Genetic and Evolutionary Computation\u2014GECCO 2004, pp. 537\u2013548. Springer, Berlin (2004). https:\/\/doi.org\/10.1007\/978-3-540-24854-5_56","DOI":"10.1007\/978-3-540-24854-5_56"},{"key":"551_CR44","doi-asserted-by":"publisher","unstructured":"Jianlin, F., Xian-Huan, W.: An assessment of model-based multiobjective optimization for efficient management of subsurface flow. In: SPE Western Regional Meeting Proceedings 2018-April (2018). https:\/\/doi.org\/10.2118\/190063-ms","DOI":"10.2118\/190063-ms"},{"key":"551_CR45","doi-asserted-by":"publisher","unstructured":"Kauffman, S.A.: The Origins of Order: Self-Organization and Selection in Evolution, pp. 61\u2013100 (1992). https:\/\/doi.org\/10.1142\/9789814415743_0003","DOI":"10.1142\/9789814415743_0003"},{"key":"551_CR46","doi-asserted-by":"publisher","unstructured":"Lara, O.D., Labrador, M.A.: A multiobjective ant colony-based optimization algorithm for the bin packing problem with load balancing. In: IEEE Congress on Evolutionary Computation, pp. 1\u20138 (2010). https:\/\/doi.org\/10.1109\/CEC.2010.5586259","DOI":"10.1109\/CEC.2010.5586259"},{"key":"551_CR47","doi-asserted-by":"crossref","unstructured":"Laumanns, M., Rudolph, G., Schwefel, H.P.: A spatial predator-prey approach to multi-objective optimization: A preliminary study. In: Eiben, A.E., B\u00e4ck, T., Schoenauer, M., et al. (eds.) Parallel Problem Solving from Nature\u2014PPSN, pp. 241\u2013249. Springer, Berlin (1998)","DOI":"10.1007\/BFb0056867"},{"key":"551_CR48","doi-asserted-by":"publisher","first-page":"4154","DOI":"10.1021\/ie9504516","volume":"35","author":"ML Liu","year":"1996","unstructured":"Liu, M.L., Sahinidis, N.V.: Optimization in process planning under uncertainty. Ind. Eng. Chem. Res. 35, 4154\u20134165 (1996). https:\/\/doi.org\/10.1021\/ie9504516","journal-title":"Ind. Eng. Chem. Res."},{"key":"551_CR49","doi-asserted-by":"publisher","unstructured":"Livadariu, B., Grigora\u015f, G., Scarlatache, F. et\u00a0al.: Voltage Control in Electric Networks with Wind Farms Connected Using a Scenario-Based Optimization Framework. Institute of Electrical and Electronics Engineers Inc. (2023). https:\/\/doi.org\/10.1109\/MPS58874.2023.10187415","DOI":"10.1109\/MPS58874.2023.10187415"},{"key":"551_CR50","doi-asserted-by":"publisher","unstructured":"Lu, Y., Gu, Z., Liu, S., et al.: Scenario-based optimization design of icebreaking bow for polar navigation. Ocean Eng. 244 (2022). https:\/\/doi.org\/10.1016\/j.oceaneng.2021.110365","DOI":"10.1016\/j.oceaneng.2021.110365"},{"key":"551_CR51","doi-asserted-by":"publisher","unstructured":"Mirjalili, S.Z., Chalup, S., Mirjalili, S. et\u00a0al.: Robust multi-objective optimization using conditional pareto optimal dominance. In: 2020 IEEE Congress on Evolutionary Computation, CEC 2020\u2014Conference Proceedings (2020). https:\/\/doi.org\/10.1109\/CEC48606.2020.9185748","DOI":"10.1109\/CEC48606.2020.9185748"},{"key":"551_CR52","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.ins.2014.12.037","volume":"300","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili, S., Lewis, A.: Novel frameworks for creating robust multi-objective benchmark problems. Inf. Sci. 300, 158\u2013192 (2015). https:\/\/doi.org\/10.1016\/j.ins.2014.12.037","journal-title":"Inf. Sci."},{"key":"551_CR53","doi-asserted-by":"publisher","unstructured":"Murata, T., Ishibuchi, H.: MOGA: multi-objective genetic algorithms. In: Proceedings of 1995 IEEE International Conference on Evolutionary Computation, p. 289 (1995). https:\/\/doi.org\/10.1109\/ICEC.1995.489161","DOI":"10.1109\/ICEC.1995.489161"},{"key":"551_CR54","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1016\/j.compchemeng.2019.03.034","volume":"125","author":"C Ning","year":"2019","unstructured":"Ning, C., You, F.: Optimization under uncertainty in the era of big data and deep learning: when machine learning meets mathematical programming. Comput. Chem. Eng. 125, 434\u2013448 (2019). https:\/\/doi.org\/10.1016\/j.compchemeng.2019.03.034","journal-title":"Comput. Chem. Eng."},{"key":"551_CR55","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/978-3-540-31880-4_24","volume":"3410","author":"Y Nojima","year":"2005","unstructured":"Nojima, Y., Narukawa, K., Kaige, S., et al.: Effects of removing overlapping solutions on the performance of the NSGA-II algorithm. Lect. Notes Comput. Sci. 3410, 341\u2013354 (2005). https:\/\/doi.org\/10.1007\/978-3-540-31880-4_24","journal-title":"Lect. Notes Comput. Sci."},{"issue":"2","key":"551_CR56","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/BF01743536","volume":"10","author":"A Osyczka","year":"1995","unstructured":"Osyczka, A., Kundu, S.: A new method to solve generalized multicriteria optimization problems using the simple genetic algorithm. Struct. Optim. 10(2), 94\u201399 (1995). https:\/\/doi.org\/10.1007\/BF01743536","journal-title":"Struct. Optim."},{"key":"551_CR57","doi-asserted-by":"publisher","unstructured":"Pasia, J.M., Aguirre, H., Tanaka, K.: Path relinking on many-objective NK-landscapes. Springer, Berlin, pp. 677\u2013686 (2010). https:\/\/doi.org\/10.1007\/978-3-642-15844-5_68","DOI":"10.1007\/978-3-642-15844-5_68"},{"key":"551_CR58","doi-asserted-by":"publisher","unstructured":"Rahimi, A., Azadnia, A.H., Aghdam, M.M., et al.: A scenario-based optimization model to design a hub network for COVID-19 medical equipment management. Oper. Manag. Res. (2023). https:\/\/doi.org\/10.1007\/s12063-023-00396-7","DOI":"10.1007\/s12063-023-00396-7"},{"key":"551_CR59","doi-asserted-by":"publisher","first-page":"20589","DOI":"10.1007\/s00521-022-07434-8","volume":"34","author":"AA Ramedani","year":"2022","unstructured":"Ramedani, A.A., Didehkhani, H., Mehrabian, A.: Scenario-based optimization robust model project portfolio selection under risk considerations. Neural Comput. Appl. 34, 20589\u201320609 (2022). https:\/\/doi.org\/10.1007\/s00521-022-07434-8","journal-title":"Neural Comput. Appl."},{"key":"551_CR60","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/j.scs.2018.01.045","volume":"39","author":"M Roustai","year":"2018","unstructured":"Roustai, M., Rayati, M., Sheikhi, A., et al.: A scenario-based optimization of smart energy hub operation in a stochastic environment using conditional-value-at-risk. Sustain. Cities Soc. 39, 309\u2013316 (2018). https:\/\/doi.org\/10.1016\/j.scs.2018.01.045","journal-title":"Sustain. Cities Soc."},{"key":"551_CR61","doi-asserted-by":"publisher","unstructured":"Schiozer, D.J., de Souza dos Santos AA, de Gra\u00e7a Santos SM, et\u00a0al.: Model-based decision analysis applied to petroleum field development and management. Oil Gas Sci. Technol. Rev. d\u2019IFP Energies Nouvelles 74, 46 (2019). https:\/\/doi.org\/10.2516\/ogst\/2019019","DOI":"10.2516\/ogst\/2019019"},{"issue":"3","key":"551_CR62","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/s10898-019-00745-6","volume":"74","author":"B Schulze","year":"2019","unstructured":"Schulze, B., Klamroth, K., Stiglmayr, M.: Multi-objective unconstrained combinatorial optimization: a polynomial bound on the number of extreme supported solutions. J. Glob. Optim. 74(3), 495\u2013522 (2019). https:\/\/doi.org\/10.1007\/s10898-019-00745-6","journal-title":"J. Glob. Optim."},{"key":"551_CR63","doi-asserted-by":"publisher","first-page":"3989","DOI":"10.1007\/s40747-021-00640-2","volume":"8","author":"W Shi","year":"2022","unstructured":"Shi, W., Hu, X.M., Chen, W.N.: An estimation of distribution algorithm with clustering for scenario-based robust financial optimization. Complex Intell. Syst. 8, 3989\u20134003 (2022). https:\/\/doi.org\/10.1007\/s40747-021-00640-2","journal-title":"Complex Intell. Syst."},{"key":"551_CR64","doi-asserted-by":"publisher","unstructured":"Teich, J.: Pareto-Front Exploration with Uncertain Objectives, pp. 314\u2013328 (2001). https:\/\/doi.org\/10.1007\/3-540-44719-9_22","DOI":"10.1007\/3-540-44719-9_22"},{"key":"551_CR65","doi-asserted-by":"publisher","unstructured":"Tian, Y., He, C., Cheng, R., et\u00a0al.: A multistage evolutionary algorithm for better diversity preservation in multiobjective optimization. IEEE Trans. Syst. Man Cybern. Syst. 1\u201315 (2019). https:\/\/doi.org\/10.1109\/tsmc.2019.2956288","DOI":"10.1109\/tsmc.2019.2956288"},{"key":"551_CR66","unstructured":"Veldhuizen, D.A.V.: Multiobjective evolutionary algorithms: Classifications, analyses, multiobjective evolutionary algorithms: Classifications, analyses, and new innovations and new innovations. https:\/\/scholar.afit.edu\/etd\/5128 (1999)"},{"key":"551_CR67","doi-asserted-by":"publisher","first-page":"107694","DOI":"10.1016\/j.petrol.2020.107694","volume":"196","author":"L Wang","year":"2021","unstructured":"Wang, L., Li, Z., Adenutsi, C.D., et al.: A novel multi-objective optimization method for well control parameters based on PSO-LSSVR proxy model and NSGA-II algorithm. J. Petrol. Sci. Eng. 196, 107694 (2021). https:\/\/doi.org\/10.1016\/j.petrol.2020.107694","journal-title":"J. Petrol. Sci. Eng."},{"issue":"January","key":"551_CR68","doi-asserted-by":"publisher","first-page":"110111","DOI":"10.1016\/j.petrol.2022.110111","volume":"211","author":"L Wang","year":"2022","unstructured":"Wang, L., Yao, Y., Zhang, T., et al.: A novel self-adaptive multi-fidelity surrogate-assisted multi-objective evolutionary algorithm for simulation-based production optimization. J. Petrol. Sci. Eng. 211(January), 110111 (2022). https:\/\/doi.org\/10.1016\/j.petrol.2022.110111","journal-title":"J. Petrol. Sci. Eng."},{"key":"551_CR69","doi-asserted-by":"publisher","unstructured":"Wu, L., Hifi, M.: Discrete scenario-based optimization for the robust vehicle routing problem: The case of time windows under delay uncertainty. Comput. Ind. Eng. 145 (2020). https:\/\/doi.org\/10.1016\/j.cie.2020.106491","DOI":"10.1016\/j.cie.2020.106491"},{"issue":"3","key":"551_CR70","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TMAG.2019.2955386","volume":"56","author":"M Xia","year":"2020","unstructured":"Xia, M., Zhou, Q., Sykulski, J., et al.: A multi-objective topology optimization methodology based on pareto optimal min-cut. IEEE Trans. Magn. 56(3), 1\u20135 (2020). https:\/\/doi.org\/10.1109\/TMAG.2019.2955386","journal-title":"IEEE Trans. Magn."},{"issue":"September","key":"551_CR71","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1016\/j.ins.2022.09.049","volume":"613","author":"X Xiang","year":"2022","unstructured":"Xiang, X., Tian, Y., Cheng, R., et al.: A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Inf. Sci. 613(September), 591\u2013608 (2022). https:\/\/doi.org\/10.1016\/j.ins.2022.09.049","journal-title":"Inf. Sci."},{"key":"551_CR72","doi-asserted-by":"publisher","unstructured":"Yang, Y., Rosa, L.D.: Designing a robust gasoline blending recipe via scenario-based optimization. In: 2019 IEEE Green Energy and Smart Systems Conference (IGESSC), pp. 1\u20135 (2019). https:\/\/doi.org\/10.1109\/IGESSC47875.2019.9042383","DOI":"10.1109\/IGESSC47875.2019.9042383"},{"key":"551_CR73","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.petrol.2015.04.038","volume":"132","author":"E Yasari","year":"2015","unstructured":"Yasari, E., Pishvaie, M.R.: Pareto-based robust optimization of water-flooding using multiple realizations. J. Petrol. Sci. Eng. 132, 18\u201327 (2015). https:\/\/doi.org\/10.1016\/j.petrol.2015.04.038","journal-title":"J. Petrol. Sci. Eng."},{"key":"551_CR74","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.petrol.2013.07.008","volume":"109","author":"E Yasari","year":"2013","unstructured":"Yasari, E., Pishvaie, M.R., Khorasheh, F., et al.: Application of multi-criterion robust optimization in water-flooding of oil reservoir. J. Petrol. Sci. Eng. 109, 1\u201311 (2013). https:\/\/doi.org\/10.1016\/j.petrol.2013.07.008","journal-title":"J. Petrol. Sci. Eng."},{"issue":"6","key":"551_CR75","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang, Q., Li, H.: MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans. Evol. Comput. 11(6), 712\u2013731 (2007). https:\/\/doi.org\/10.1109\/TEVC.2007.892759","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"March","key":"551_CR76","doi-asserted-by":"publisher","first-page":"107192","DOI":"10.1016\/j.petrol.2020.107192","volume":"192","author":"M Zhao","year":"2020","unstructured":"Zhao, M., Zhang, K., Chen, G., et al.: A surrogate-assisted multi-objective evolutionary algorithm with dimension-reduction for production optimization. J. Petrol. Sci. Eng. 192(March), 107192 (2020). https:\/\/doi.org\/10.1016\/j.petrol.2020.107192","journal-title":"J. Petrol. Sci. Eng."},{"issue":"2","key":"551_CR77","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1109\/TEVC.2017.2704782","volume":"22","author":"H Zille","year":"2018","unstructured":"Zille, H., Ishibuchi, H., Mostaghim, S., et al.: A framework for large-scale multiobjective optimization based on problem transformation. IEEE Trans. Evol. Comput. 22(2), 260\u2013275 (2018). https:\/\/doi.org\/10.1109\/TEVC.2017.2704782","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"551_CR78","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1162\/106365600568202","volume":"8","author":"E Zitzler","year":"2000","unstructured":"Zitzler, E., Deb, K., Thiele, L.: Comparison of multiobjective evolutionary algorithms: empirical results. Evol. Comput. 8(2), 173\u2013195 (2000). https:\/\/doi.org\/10.1162\/106365600568202","journal-title":"Evol. Comput."},{"key":"551_CR79","unstructured":"Zitzler, E.: Evolutionary algorithms for multiobjective optimization: methods and applications (1999). https:\/\/api.semanticscholar.org\/CorpusID:14157879"},{"issue":"4","key":"551_CR80","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/4235.797969","volume":"3","author":"E Zitzler","year":"1999","unstructured":"Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Trans. Evol. Comput. 3(4), 257\u2013271 (1999). https:\/\/doi.org\/10.1109\/4235.797969","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Computational Optimization and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10589-024-00551-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10589-024-00551-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10589-024-00551-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T10:46:53Z","timestamp":1714128413000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10589-024-00551-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,6]]},"references-count":80,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["551"],"URL":"https:\/\/doi.org\/10.1007\/s10589-024-00551-1","relation":{},"ISSN":["0926-6003","1573-2894"],"issn-type":[{"value":"0926-6003","type":"print"},{"value":"1573-2894","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,6]]},"assertion":[{"value":"26 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 February 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}