{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T17:44:39Z","timestamp":1787507079766,"version":"build-2736575974"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:00:00Z","timestamp":1656374400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:00:00Z","timestamp":1656374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"MoST (Ministry of Science and Technology) Endowment"},{"name":"NED University research grants"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s10586-022-03647-7","type":"journal-article","created":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T06:16:52Z","timestamp":1656397012000},"page":"4151-4169","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["DOCEA\/D: Dual-Operator-based Constrained many-objective Evolutionary Algorithm based on Decomposition"],"prefix":"10.1007","volume":"25","author":[{"given":"Syed Zaffar","family":"Qasim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Ali","family":"Ismail","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,6,28]]},"reference":[{"issue":"12","key":"3647_CR1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1109\/MC.2007.443","volume":"40","author":"LA Barroso","year":"2007","unstructured":"Barroso, L.A., H\u00f6lzle, U.: The case for energy-proportional computing. Computer 40(12), 33\u201337 (2007)","journal-title":"Computer"},{"issue":"8","key":"3647_CR2","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.1016\/j.jcss.2013.02.004","volume":"79","author":"Y Gao","year":"2013","unstructured":"Gao, Y., Guan, H., Qi, Z., Hou, Y., Liu, L.: A multi-objective ant colony system algorithm for virtual machine placement in cloud computing. J. Comput. Syst. Sci. 79(8), 1230\u20131242 (2013)","journal-title":"J. Comput. Syst. Sci."},{"issue":"3","key":"3647_CR3","first-page":"267","volume":"32","author":"MH Shirvani","year":"2020","unstructured":"Shirvani, M.H., Rahmani, A.M., Sahafi, A.: A survey study on virtual machine migration and server consolidation techniques in DVFS-enabled cloud datacenter: taxonomy and challenges. J. King Saud Univ. Comput. Inf. Sci. 32(3), 267\u2013286 (2020)","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"key":"3647_CR4","doi-asserted-by":"crossref","unstructured":"Meng, X., Pappas, V., Zhang, L.: Improving the scalability of data center networks with traffic-aware virtual machine placement. In: 2010 Proceedings IEEE INFOCOM, pp. 1\u20139. IEEE (2010)","DOI":"10.1109\/INFCOM.2010.5461930"},{"key":"3647_CR5","first-page":"9","volume":"17","author":"M-H Malekloo","year":"2018","unstructured":"Malekloo, M.-H., Kara, N., El Barachi, M.: An energy efficient and SLA compliant approach for resource allocation and consolidation in cloud computing environments. Sustain. Comput. Inform. Syst. 17, 9\u201324 (2018)","journal-title":"Sustain. Comput. Inform. Syst."},{"issue":"1","key":"3647_CR6","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1186\/s13673-019-0174-9","volume":"9","author":"SS Alresheedi","year":"2019","unstructured":"Alresheedi, S.S., Lu, S., Elaziz, M.A., Ewees, A.A.: Improved multiobjective salp swarm optimization for virtual machine placement in cloud computing. Hum. Centric Comput. Inf. Sci. 9(1), 15 (2019)","journal-title":"Hum. Centric Comput. Inf. Sci."},{"issue":"2","key":"3647_CR7","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/s10723-017-9399-x","volume":"15","author":"F L\u00f3pez-Pires","year":"2017","unstructured":"L\u00f3pez-Pires, F., Bar\u00e1n, B.: Many-objective virtual machine placement. J. Grid Comput. 15(2), 161\u2013176 (2017)","journal-title":"J. Grid Comput."},{"key":"3647_CR8","doi-asserted-by":"publisher","first-page":"16006","DOI":"10.1109\/ACCESS.2017.2733723","volume":"5","author":"X Ye","year":"2017","unstructured":"Ye, X., Yin, Y., Lan, L.: Energy-efficient many-objective virtual machine placement optimization in a cloud computing environment. IEEE Access 5, 16006\u201316020 (2017)","journal-title":"IEEE Access"},{"key":"3647_CR9","unstructured":"Ngatchou, P., Zarei, A., El-Sharkawi, A.: Pareto multi objective optimization. In: Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, pp. 84\u201391. IEEE (2005)"},{"key":"3647_CR10","volume-title":"Evolutionary Algorithms for Solving Multi-objective Problems","author":"CAC Coello","year":"2007","unstructured":"Coello, C.A.C., Lamont, G.B., Van Veldhuizen, D.A., et al.: Evolutionary Algorithms for Solving Multi-objective Problems, vol. 5. Springer, New York (2007)"},{"key":"3647_CR11","volume-title":"Multi-objective Optimization Using Evolutionary Algorithms","author":"K Deb","year":"2001","unstructured":"Deb, K.: Multi-objective Optimization Using Evolutionary Algorithms, vol. 16. Wiley, New York (2001)"},{"issue":"4","key":"3647_CR12","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","volume":"18","author":"K Deb","year":"2013","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 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"3647_CR13","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1109\/TEVC.2018.2866854","volume":"23","author":"Y Tian","year":"2018","unstructured":"Tian, Y., Cheng, R., Zhang, X., Su, Y., Jin, Y.: A strengthened dominance relation considering convergence and diversity for evolutionary many-objective optimization. IEEE Trans. Evol. Comput. 23(2), 331\u2013345 (2018)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"12","key":"3647_CR14","doi-asserted-by":"publisher","first-page":"10079","DOI":"10.1007\/s13369-020-04536-0","volume":"45","author":"SZ Qasim","year":"2020","unstructured":"Qasim, S.Z., Ismail, M.A.: RODE: ranking-dominance-based algorithm for many-objective optimization with opposition-based differential evolution. Arab. J. Sci. Eng. 45(12), 10079\u201310096 (2020)","journal-title":"Arab. J. Sci. Eng."},{"key":"3647_CR15","doi-asserted-by":"crossref","unstructured":"Sun, M., Gu, W., Zhang, X., Shi, H., Zhang, W.: A matrix transformation algorithm for virtual machine placement in cloud. In: 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, pp. 1778\u20131783. IEEE (2013)","DOI":"10.1109\/TrustCom.2013.221"},{"issue":"6","key":"3647_CR16","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1109\/TEVC.2014.2378512","volume":"19","author":"X Zhang","year":"2014","unstructured":"Zhang, X., Tian, Y., Jin, Y.: A knee point-driven evolutionary algorithm for many-objective optimization. IEEE Trans. Evol. Comput. 19(6), 761\u2013776 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"3647_CR17","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn, R., Price, K.: Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 11(4), 341\u2013359 (1997)","journal-title":"J. Glob. Optim."},{"issue":"1","key":"3647_CR18","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","volume":"15","author":"S Das","year":"2010","unstructured":"Das, S., Suganthan, P.N.: Differential evolution: a survey of the state-of-the-art. IEEE Trans. Evol. Comput. 15(1), 4\u201331 (2010)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"3647_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.swevo.2016.01.004","volume":"27","author":"S Das","year":"2016","unstructured":"Das, S., Mullick, S.S., Suganthan, P.N.: Recent advances in differential evolution\u2014an updated survey. Swarm Evol. Comput. 27, 1\u201330 (2016)","journal-title":"Swarm Evol. Comput."},{"key":"3647_CR20","doi-asserted-by":"crossref","unstructured":"Gao, J., Li, H., Jiao, Y.-C.: Modified differential evolution for the integer programming problems. In: 2009 International Conference on Artificial Intelligence and Computational Intelligence, vol. 1, pp. 213\u2013219. IEEE (2009)","DOI":"10.1109\/AICI.2009.307"},{"issue":"9","key":"3647_CR21","doi-asserted-by":"publisher","first-page":"3884","DOI":"10.1016\/j.asoc.2013.05.001","volume":"13","author":"D Datta","year":"2013","unstructured":"Datta, D., Figueira, J.R.: A real-integer-discrete-coded differential evolution. Appl. Soft Comput. 13(9), 3884\u20133893 (2013)","journal-title":"Appl. Soft Comput."},{"issue":"1","key":"3647_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00500-018-3530-1","volume":"23","author":"S Mahdavi","year":"2019","unstructured":"Mahdavi, S., Rahnamayan, S., Mahdavi, A.: Majority voting for discrete population-based optimization algorithms. Soft Comput. 23(1), 1\u201318 (2019)","journal-title":"Soft Comput."},{"key":"3647_CR23","doi-asserted-by":"publisher","first-page":"113678","DOI":"10.1016\/j.eswa.2020.113678","volume":"160","author":"F Zhao","year":"2020","unstructured":"Zhao, F., Zhao, L., Wang, L., Song, H.: An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion. Expert Syst. Appl. 160, 113678 (2020)","journal-title":"Expert Syst. Appl."},{"key":"3647_CR24","volume-title":"Nonlinear Multiobjective Optimization","author":"K Miettinen","year":"2012","unstructured":"Miettinen, K.: Nonlinear Multiobjective Optimization, vol. 12. Springer, New York (2012)"},{"issue":"6","key":"3647_CR25","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)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"18","key":"3647_CR26","doi-asserted-by":"publisher","first-page":"e4451","DOI":"10.1002\/cpe.4451","volume":"31","author":"G Portella","year":"2019","unstructured":"Portella, G., Rodrigues, G.N., Nakano, E., Melo, A.C.: Statistical analysis of Amazon EC2 cloud pricing models. Concurr. Comput. Pract. Exp. 31(18), e4451 (2019)","journal-title":"Concurr. Comput. Pract. Exp."},{"issue":"2","key":"3647_CR27","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11063-014-9339-8","volume":"41","author":"M Tang","year":"2015","unstructured":"Tang, M., Pan, S.: A hybrid genetic algorithm for the energy-efficient virtual machine placement problem in data centers. Neural Process. Lett. 41(2), 211\u2013221 (2015)","journal-title":"Neural Process. Lett."},{"issue":"5","key":"3647_CR28","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1016\/j.future.2011.04.017","volume":"28","author":"A Beloglazov","year":"2012","unstructured":"Beloglazov, A., Abawajy, J., Buyya, R.: Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Gener. Comput. Syst. 28(5), 755\u2013768 (2012)","journal-title":"Future Gener. Comput. Syst."},{"key":"3647_CR29","unstructured":"Donoso, Y., Fabregat, R., Solano, F., Marzo, J.-L., Bar\u00e1n, B.: Generalized multiobjective multitree model for dynamic multicast groups. In: IEEE International Conference on Communications, 2005. ICC 2005, 2005, vol. 1, pp. 148\u2013152. IEEE (2005)"},{"issue":"2","key":"3647_CR30","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., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"3647_CR31","doi-asserted-by":"publisher","first-page":"592","DOI":"10.1109\/TEVC.2015.2424921","volume":"19","author":"J Cheng","year":"2015","unstructured":"Cheng, J., Yen, G.G., Zhang, G.: A many-objective evolutionary algorithm with enhanced mating and environmental selections. IEEE Trans. Evol. Comput. 19(4), 592\u2013605 (2015)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"3647_CR32","doi-asserted-by":"publisher","first-page":"3883","DOI":"10.1007\/s13369-018-03712-7","volume":"44","author":"S Mnasri","year":"2019","unstructured":"Mnasri, S., Nasri, N., Van den Bossche, A., Val, T.: Improved many-objective optimization algorithms for the 3D indoor deployment problem. Arab. J. Sci. Eng. 44(4), 3883\u20133904 (2019)","journal-title":"Arab. J. Sci. Eng."},{"key":"3647_CR33","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-021-00698-4","author":"SZ Qasim","year":"2022","unstructured":"Qasim, S.Z., Ismail, M.A.: MOSA\/D: multi-operator evolutionary many-objective algorithm with self-adaptation of parameters based on decomposition. Evol. Intell. (2022). https:\/\/doi.org\/10.1007\/s12065-021-00698-4","journal-title":"Evol. Intell."},{"key":"3647_CR34","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1016\/j.swevo.2018.08.015","volume":"44","author":"G Wu","year":"2019","unstructured":"Wu, G., Mallipeddi, R., Suganthan, P.N.: Ensemble strategies for population-based optimization algorithms\u2014a survey. Swarm Evol. Comput. 44, 695\u2013711 (2019)","journal-title":"Swarm Evol. Comput."},{"key":"3647_CR35","doi-asserted-by":"crossref","unstructured":"Nebro, A.J., Durillo, J.J., Vergne, M.: Redesigning the jMetal multi-objective optimization framework. In: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pp. 1093\u20131100 (2015)","DOI":"10.1145\/2739482.2768462"},{"issue":"4","key":"3647_CR36","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)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"3647_CR37","doi-asserted-by":"crossref","unstructured":"Zitzler, E., K\u00fcnzli, S.: Indicator-based selection in multiobjective search. In: International Conference on Parallel Problem Solving from Nature, pp. 832\u2013842. Springer (2004)","DOI":"10.1007\/978-3-540-30217-9_84"},{"issue":"Jan","key":"3647_CR38","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7(Jan), 1\u201330 (2006)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-022-03647-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-022-03647-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-022-03647-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,27]],"date-time":"2022-10-27T19:21:14Z","timestamp":1666898474000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-022-03647-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,28]]},"references-count":38,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["3647"],"URL":"https:\/\/doi.org\/10.1007\/s10586-022-03647-7","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,28]]},"assertion":[{"value":"23 December 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 April 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 June 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 June 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}