{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:33:48Z","timestamp":1743010428951,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030106911"},{"type":"electronic","value":"9783030106928"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-10692-8_16","type":"book-chapter","created":{"date-parts":[[2019,1,17]],"date-time":"2019-01-17T13:53:20Z","timestamp":1547733200000},"page":"142-149","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Factors for Search Methods Scalability"],"prefix":"10.1007","author":[{"given":"Kalin","family":"Penev","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,18]]},"reference":[{"key":"16_CR1","doi-asserted-by":"crossref","unstructured":"Abiyev, R.H., Tunay, M.: Optimization of high-dimensional functions through hypercube evaluation. Comput. Intell. Neurosci. 2015 (2015). \n                      http:\/\/dx.doi.org\/10.1155\/2015\/967320\n                      \n                    . Article ID 967320, 11 pages","DOI":"10.1155\/2015\/967320"},{"key":"16_CR2","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.ins.2017.06.024","volume":"415-416","author":"A Cano","year":"2017","unstructured":"Cano, A., Garc\u00eda-Mart\u00ednez, C., Ventura, S.: Extremely high-dimensional optimization with MapReduce: scaling functions and algorithm. Inf. Sci. 415-416, 110\u2013127 (2017)","journal-title":"Inf. Sci."},{"key":"16_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1007\/978-3-319-55849-3_41","volume-title":"Applications of Evolutionary Computation","author":"F Caraffini","year":"2017","unstructured":"Caraffini, F., Neri, F., Iacca, G.: Large scale problems in practice: the effect of dimensionality on the interaction among variables. In: Squillero, G., Sim, K. (eds.) EvoApplications 2017. LNCS, vol. 10199, pp. 636\u2013652. Springer, Cham (2017). \n                      https:\/\/doi.org\/10.1007\/978-3-319-55849-3_41"},{"key":"16_CR4","doi-asserted-by":"publisher","first-page":"8214","DOI":"10.1109\/ACCESS.2017.2702561","volume":"5","author":"B Cao","year":"2017","unstructured":"Cao, B., et al.: Distributed parallel particle swarm optimization for multi-objective and many-objective large-scale optimization. IEEE Access 5, 8214\u20138221 (2017)","journal-title":"IEEE Access"},{"key":"16_CR5","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.ins.2014.04.043","volume":"280","author":"Xianghua Chu","year":"2014","unstructured":"Chu, X., et al.: AHPS2: an optimizer using adaptive heterogeneous particle swarms. Inf. Sci. 280, 26\u201352 (2014). \n                      https:\/\/doi.org\/10.1016\/j.ins.2014.04.043","journal-title":"Information Sciences"},{"key":"16_CR6","unstructured":"CISCO, The Zettabyte Era - Trends and Analysis - Cisco, White Papers (2017a). \n                      http:\/\/www.cisco.com\/c\/en\/us\/solutions\/collateral\/service-provider\/visual-networking-index-vni\/vni-hyperconnectivity-wp.html\n                      \n                    . Accessed 11 June 2018"},{"key":"16_CR7","unstructured":"CISCO, Cisco Visual Networking Index: Forecast and Methodology, 2016\u20132021- Cisco, White Papers (2017b). \n                      https:\/\/www.cisco.com\/c\/en\/us\/solutions\/collateral\/service-provider\/visual-networking-index-vni\/complete-white-paper-c11-481360.html\n                      \n                    . Accessed 11 June 2018"},{"key":"16_CR8","unstructured":"ETP4HPC, 2018 European Technology Platform for High Performance Computing. \n                      http:\/\/www.etp4hpc.eu\/missionvision.html\n                      \n                    . Accessed 11 June 2018"},{"issue":"3","key":"16_CR9","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s11235-010-9288-0","volume":"46","author":"C Grosan","year":"2011","unstructured":"Grosan, C., Abraham, A., Hassainen, A.: A line search approach for high dimensional function optimization. Telecommun. Syst. 46(3), 217\u2013243 (2011)","journal-title":"Telecommun. Syst."},{"key":"16_CR10","volume-title":"Applied Non-linear Programming","author":"D Himmelblau","year":"1972","unstructured":"Himmelblau, D.: Applied Non-linear Programming. McGraw-Hill, New York (1972)"},{"issue":"4","key":"16_CR11","doi-asserted-by":"publisher","first-page":"1401","DOI":"10.1007\/s11590-013-0668-8","volume":"8","author":"A Kotsialos","year":"2014","unstructured":"Kotsialos, A.: Nonlinear optimisation using directional step lengths based on RPROP. Optim. Lett. 8(4), 1401\u20131415 (2014)","journal-title":"Optim. Lett."},{"issue":"1","key":"16_CR12","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s11047-005-1625-y","volume":"5","author":"J Liang","year":"2006","unstructured":"Liang, J., et al.: Performance evaluation of multiagent genetic algorithm. Nat. Comput. 5(1), 83\u201396 (2006)","journal-title":"Nat. Comput."},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Macnish, C., Yao, X.: Direction matters in high-dimensional optimisation, pp. 2372\u20132379. IEEE (2008)","DOI":"10.1109\/CEC.2008.4631115"},{"key":"16_CR14","unstructured":"van der Meulen, R., Costello, K.: Gartner Says Worldwide Server Revenue Grew 33.4 Percent in the First Quarter of 2018, While Shipments Increased 17.3 Percent, STAMFORD, Conn., June 11, 2018 (2018). \n                      https:\/\/www.gartner.com\/newsroom\/id\/3878666\n                      \n                    . Accessed 11 June 2018"},{"issue":"11","key":"16_CR15","doi-asserted-by":"publisher","first-page":"2233","DOI":"10.1007\/s00500-010-0649-0","volume":"15","author":"MD Oca","year":"2011","unstructured":"Oca, M.D., Aydin, D., St\u00fctzle, T.: An incremental particle swarm for large-scale continuous optimization problems: an example of tuning-in-the-loop (re)design of optimization algorithms. Soft. Comput. 15(11), 2233\u20132255 (2011)","journal-title":"Soft. Comput."},{"issue":"4","key":"16_CR16","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1504\/IJMHEUR.2014.068914","volume":"3","author":"S Nesmachnow","year":"2014","unstructured":"Nesmachnow, S.: An overview of metaheuristics: accurate and efficient methods for optimisation. Int. J. Metaheuristics 3(4), 320\u2013347 (2014)","journal-title":"Int. J. Metaheuristics"},{"key":"16_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-0273-1","volume-title":"Evolutionary and Adaptive Computing in Engineering Design","author":"IC Parmee","year":"2001","unstructured":"Parmee, I.C.: Evolutionary and Adaptive Computing in Engineering Design. Springer, London (2001). \n                      https:\/\/doi.org\/10.1007\/978-1-4471-0273-1"},{"key":"16_CR18","unstructured":"Penev, K.: Performance evaluation on optimisation of 200 dimensional numerical tests - results and issues. In: The 28-th International Scientific Conference of the Faculty of Industrial Technology of TU-Sofia, FIT 2015, pp. 461\u2013468. TU Sofia, Bulgaria (2015). ISBN 978-619-167-178-6"},{"key":"16_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1007\/978-3-319-73441-5_43","volume-title":"Large-Scale Scientific Computing","author":"K Penev","year":"2018","unstructured":"Penev, K.: Free search in multidimensional space M. In: Lirkov, I., Margenov, S. (eds.) LSSC 2017. LNCS, vol. 10665, pp. 399\u2013407. Springer, Cham (2018). \n                      https:\/\/doi.org\/10.1007\/978-3-319-73441-5_43"},{"key":"16_CR20","unstructured":"Schwefel, H.-P.: Evolution strategy in numerical optimisation. Ph.D. Thesis, Technical University of Berlin (1975)"},{"issue":"3","key":"16_CR21","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1016\/j.jnca.2011.12.004","volume":"35","author":"J Yin","year":"2012","unstructured":"Yin, J., Wang, Y., Hu, J.: Free search with adaptive differential evolution exploitation and quantum-inspired exploration. J. Netw. Comput. Appl. 35(3), 1035\u20131051 (2012)","journal-title":"J. Netw. Comput. Appl."},{"key":"16_CR22","unstructured":"Yang, Z., Tang, K., Yao, X.: Differential evolution for high-dimensional function optimization, pp. 3523\u20133530. IEEE (2007)"},{"key":"16_CR23","first-page":"158","volume":"98","author":"T Zhongda","year":"2017","unstructured":"Zhongda, T., et al.: A prediction method based on wavelet transform and multiple models fusion for chaotic time series. Chaos Solitons Fractals Interdiscip. J. Nonlinear Sci. Nonequilibrium Complex Phenom. 98, 158\u2013172 (2017)","journal-title":"Chaos Solitons Fractals Interdiscip. J. Nonlinear Sci. Nonequilibrium Complex Phenom."}],"container-title":["Lecture Notes in Computer Science","Numerical Methods and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-10692-8_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T05:26:28Z","timestamp":1558329988000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-10692-8_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030106911","9783030106928"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-10692-8_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"18 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Numerical Methods and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Borovets","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bulgaria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nma2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/nma18.fmi.uni-sofia.bg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}