{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:55:13Z","timestamp":1760709313240},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2017,5,2]],"date-time":"2017-05-02T00:00:00Z","timestamp":1493683200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1007\/s10489-017-0926-z","type":"journal-article","created":{"date-parts":[[2017,5,2]],"date-time":"2017-05-02T00:54:04Z","timestamp":1493686444000},"page":"888-913","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Cooperative co-evolution with sensitivity analysis-based budget assignment strategy for large-scale global optimization"],"prefix":"10.1007","volume":"47","author":[{"given":"Sedigheh","family":"Mahdavi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahryar","family":"Rahnamayan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Ebrahim","family":"Shiri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,2]]},"reference":[{"issue":"10","key":"926_CR1","doi-asserted-by":"crossref","first-page":"1509","DOI":"10.1016\/j.envsoft.2006.10.004","volume":"22","author":"F Campolongo","year":"2007","unstructured":"Campolongo F, Cariboni J, Saltelli A (2007) An effective screening design for sensitivity analysis of large models. Environ Model Softw 22(10):1509\u20131518","journal-title":"Environ Model Softw"},{"issue":"3","key":"926_CR2","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1007\/s10489-014-0613-2","volume":"42","author":"S Chen","year":"2015","unstructured":"Chen S, Montgomery J, Boluf\u00e9-R\u00f6hler A (2015) Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution. Appl Intell 42(3):514\u2013526","journal-title":"Appl Intell"},{"key":"926_CR3","doi-asserted-by":"crossref","unstructured":"Chen W, Tang K (2013) Impact of problem decomposition on cooperative coevolution. In: IEEE congress on evolutionary computation (CEC), 2013. IEEE, pp 733\u2013740","DOI":"10.1109\/CEC.2013.6557641"},{"key":"926_CR4","doi-asserted-by":"crossref","unstructured":"Chen W, Weise T, Yang Z, Tang K (2010) Large-scale global optimization using cooperative coevolution with variable interaction learning. In: Parallel problem solving from nature, PPSN XI. Springer, pp 300\u2013309","DOI":"10.1007\/978-3-642-15871-1_31"},{"issue":"Jan","key":"926_CR5","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7(Jan):1\u201330","journal-title":"J Mach Learn Res"},{"issue":"1","key":"926_CR6","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","volume":"1","author":"J Derrac","year":"2011","unstructured":"Derrac J, Garc\u00eda S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol Comput 1(1):3\u201318","journal-title":"Swarm Evol Comput"},{"key":"926_CR7","volume-title":"Eikos: a simulation toolbox for sensitivity analysis in matlab","author":"PA Ekstr\u00f6m","year":"2005","unstructured":"Ekstr\u00f6m PA (2005) Eikos: a simulation toolbox for sensitivity analysis in matlab. Uppsala University, Uppsala"},{"key":"926_CR8","unstructured":"Garc\u00eda S, Fern\u00e1ndez A, Luengo J, Herrera F The software for computing the advanced multiple comparison, http:\/\/sci2s.ugr.es\/sicidm"},{"issue":"10","key":"926_CR9","doi-asserted-by":"crossref","first-page":"2044","DOI":"10.1016\/j.ins.2009.12.010","volume":"180","author":"S Garc\u00eda","year":"2010","unstructured":"Garc\u00eda S, Fern\u00e1ndez A, Luengo J, Herrera F (2010) Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental analysis of power. Inf Sci 180(10):2044\u20132064","journal-title":"Inf Sci"},{"issue":"2","key":"926_CR10","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s10489-012-0420-6","volume":"39","author":"M Hasanzadeh","year":"2013","unstructured":"Hasanzadeh M, Meybodi M R, Ebadzadeh MM (2013) Adaptive cooperative particle swarm optimizer. Appl Intell 39(2):397\u2013420","journal-title":"Appl Intell"},{"key":"926_CR11","first-page":"33","volume":"7","author":"X Li","year":"2013","unstructured":"Li X, Tang K, Omidvar MN, Yang Z, Qin K (2013) Benchmark functions for the cec\u20192013 special session and competition on large-scale global optimization. Gene 7:33","journal-title":"Gene"},{"key":"926_CR12","doi-asserted-by":"crossref","unstructured":"Liu J, Tang K (2013) Scaling up covariance matrix adaptation evolution strategy using cooperative coevolution. In: Intelligent data engineering and automated learning\u2013IDEAL 2013. Springer, pp 350\u2013357","DOI":"10.1007\/978-3-642-41278-3_43"},{"key":"926_CR13","doi-asserted-by":"crossref","unstructured":"Liu Y, Yao X, Zhao Q, Higuchi T (2001) Scaling up fast evolutionary programming with cooperative coevolution. In: Proceedings of the 2001 congress on evolutionary computation, 2001. IEEE, vol 2, pp 1101\u20131108","DOI":"10.1109\/CEC.2001.934314"},{"key":"926_CR14","doi-asserted-by":"crossref","unstructured":"Mahdavi S, Shiri ME, Rahnamayan S (2014) Cooperative co-evolution with a new decomposition method for large-scale optimization. In: 2014 IEEE congress on evolutionary computation (CEC). IEEE, pp 1285\u20131292","DOI":"10.1109\/CEC.2014.6900327"},{"key":"926_CR15","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.ins.2014.10.042","volume":"295","author":"S Mahdavi","year":"2015","unstructured":"Mahdavi S, Shiri ME, Rahnamayan S (2015) Metaheuristics in large-scale global continues optimization: a survey. Inf Sci 295:407\u2013428","journal-title":"Inf Sci"},{"issue":"2","key":"926_CR16","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1080\/00401706.1991.10484804","volume":"33","author":"MD Morris","year":"1991","unstructured":"Morris M D (1991) Factorial sampling plans for preliminary computational experiments. Technometrics 33(2):161\u2013174","journal-title":"Technometrics"},{"key":"926_CR17","unstructured":"Omidvar MN, Li X (2011) A comparative study of CMA-ES on large scale global optimisation. In: AI 2010: advances in artificial intelligence. Springer, pp 303\u2013312"},{"issue":"3","key":"926_CR18","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1109\/TEVC.2013.2281543","volume":"18","author":"MN Omidvar","year":"2014","unstructured":"Omidvar MN, Li X, Mei Y, Yao X (2014) Cooperative co-evolution with differential grouping for large scale optimization. IEEE Trans Evol Comput 18(3):378\u2013393","journal-title":"IEEE Trans Evol Comput"},{"key":"926_CR19","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1016\/j.ins.2014.12.062","volume":"316","author":"MN Omidvar","year":"2015","unstructured":"Omidvar MN, Li X, Tang K (2015) Designing benchmark problems for large-scale continuous optimization. Inf Sci 316:419\u2013436. Elsevier","journal-title":"Inf Sci"},{"key":"926_CR20","doi-asserted-by":"crossref","unstructured":"Omidvar MN, Li X, Yang Z, Yao X (2010) Cooperative co-evolution for large scale optimization through more frequent random grouping. In: IEEE Congress on evolutionary computation (CEC), 2010. IEEE, pp 1\u20138","DOI":"10.1109\/CEC.2010.5586127"},{"key":"926_CR21","doi-asserted-by":"crossref","unstructured":"Omidvar MN, Li X, Yao X (2010) Cooperative co-evolution with delta grouping for large scale non-separable function optimization. In: IEEE congress on evolutionary computation (CEC), 2010. IEEE, pp 1\u20138","DOI":"10.1109\/CEC.2010.5585979"},{"key":"926_CR22","doi-asserted-by":"crossref","unstructured":"Omidvar MN, Li X, Yao X (2011) Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms. In: Proceedings of the 13th annual conference on genetic and evolutionary computation. ACM, pp 1115\u20131122","DOI":"10.1145\/2001576.2001727"},{"key":"926_CR23","unstructured":"Potter MA (1997) The design and analysis of a computational model of cooperative coevolution. PhD thesis, Citeseer"},{"key":"926_CR24","doi-asserted-by":"crossref","unstructured":"Potter MA, De Jong KA (1994) A cooperative coevolutionary approach to function optimization. In: Parallel problem solving from nature-PPSN III. Springer, pp 249\u2013257","DOI":"10.1007\/3-540-58484-6_269"},{"issue":"2\u20133","key":"926_CR25","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1023\/A:1019188517934","volume":"25","author":"H Rabitz","year":"1999","unstructured":"Rabitz H, Ali\u015f \u00d6F (1999) General foundations of high-dimensional model representations. J Math Chem 25(2\u20133):197\u2013233","journal-title":"J Math Chem"},{"key":"926_CR26","doi-asserted-by":"crossref","unstructured":"Ray T, Yao X (2009) A cooperative coevolutionary algorithm with correlation based adaptive variable partitioning. In: IEEE Congress on evolutionary computation, 2009. CEC\u201909. IEEE, pp 983\u2013989","DOI":"10.1109\/CEC.2009.4983052"},{"key":"926_CR27","volume-title":"Sensitivity analysis, vol 134","author":"A Saltelli","year":"2000","unstructured":"Saltelli A, Chan K, Scott EM, et al (2000) Sensitivity analysis, vol 134. Wiley, New York"},{"key":"926_CR28","doi-asserted-by":"crossref","unstructured":"Saltelli A, Ratto M, Andres T, Campolongo F, Cariboni J, Gatelli D, Saisana M, Tarantola S (2008) Global sensitivity analysis: the primer. Wiley","DOI":"10.1002\/9780470725184"},{"key":"926_CR29","doi-asserted-by":"crossref","unstructured":"Sayed E, Essam D, Sarker R (2012) Dependency identification technique for large scale optimization problems. In: IEEE Congress on evolutionary computation (CEC), 2012. IEEE, pp 1\u20138","DOI":"10.1109\/CEC.2012.6256117"},{"key":"926_CR30","doi-asserted-by":"crossref","unstructured":"Sayed E, Essam D, Sarker R (2012) Using hybrid dependency identification with a memetic algorithm for large scale optimization problems. In: Simulated evolution and learning. Springer, pp 168\u2013177","DOI":"10.1007\/978-3-642-34859-4_17"},{"issue":"5","key":"926_CR31","doi-asserted-by":"crossref","first-page":"051009","DOI":"10.1115\/1.4001597","volume":"132","author":"S Shan","year":"2010","unstructured":"Shan S, Wang GG (2010) Metamodeling for high dimensional simulation-based design problems. J Mech Des 132(5):051009","journal-title":"J Mech Des"},{"key":"926_CR32","doi-asserted-by":"crossref","unstructured":"Sheskin DJ (2003) Handbook of parametric and nonparametric statistical procedures. CRC Press","DOI":"10.1201\/9781420036268"},{"key":"926_CR33","doi-asserted-by":"crossref","unstructured":"Shi Y-j, Teng H-f, Li Z-q (2005) Cooperative co-evolutionary differential evolution for function optimization. In: Advances in natural computation. Springer, pp 1080\u20131088","DOI":"10.1007\/11539117_147"},{"key":"926_CR34","doi-asserted-by":"crossref","unstructured":"Singh HK, Ray T (2010) Divide and conquer in coevolution: a difficult balancing act. In: Agent-based evolutionary search. Springer, pp 117\u2013138","DOI":"10.1007\/978-3-642-13425-8_6"},{"key":"926_CR35","unstructured":"Tang K, Li X, Suganthan PN, Yang Z, Weise T (2010) Benchmark functions for the CEC\u20192010 special session and competition on large-scale global optimization. Technical report, Nature Inspired Computation and Applications Laboratory (NICAL), USTC, China"},{"key":"926_CR36","doi-asserted-by":"crossref","unstructured":"Tenne Y, Goh C-K (2010) Computational intelligence in expensive optimization problems, vol 2. Springer","DOI":"10.1007\/978-3-642-10701-6"},{"issue":"3","key":"926_CR37","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TEVC.2004.826069","volume":"8","author":"F Van den Bergh","year":"2004","unstructured":"Van den Bergh F, Engelbrecht AP (2004) A cooperative approach to particle swarm optimization. IEEE Trans Evol Comput 8(3):225\u2013239","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"926_CR38","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1007\/s11390-012-1274-4","volume":"27","author":"T Weise","year":"2012","unstructured":"Weise T, Chiong R, Tang K (2012) Evolutionary optimization: pitfalls and booby traps. J Comput Sci Technol 27(5):907\u2013936","journal-title":"J Comput Sci Technol"},{"issue":"15","key":"926_CR39","doi-asserted-by":"crossref","first-page":"2985","DOI":"10.1016\/j.ins.2008.02.017","volume":"178","author":"Z Yang","year":"2008","unstructured":"Yang Z, Tang K, Yao X (2008) Large scale evolutionary optimization using cooperative coevolution. Inf Sci 178(15):2985\u2013 2999","journal-title":"Inf Sci"},{"key":"926_CR40","doi-asserted-by":"crossref","unstructured":"Yang Z, Tang K, Yao X (2008) Multilevel cooperative coevolution for large scale optimization. In: IEEE Congress on evolutionary computation, 2008. CEC 2008. (IEEE world congress on computational intelligence). IEEE, pp 1663\u20131670","DOI":"10.1109\/CEC.2008.4631014"},{"key":"926_CR41","doi-asserted-by":"crossref","unstructured":"Yang Z, Tang K, Yao X (2008) Self-adaptive differential evolution with neighborhood search. In: IEEE Congress on evolutionary computation, 2008. CEC 2008. (IEEE world congress on computational intelligence). IEEE, pp 1110\u20131116","DOI":"10.1109\/CEC.2008.4630935"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-017-0926-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-017-0926-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-017-0926-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,22]],"date-time":"2019-09-22T14:50:48Z","timestamp":1569163848000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-017-0926-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,2]]},"references-count":41,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,10]]}},"alternative-id":["926"],"URL":"https:\/\/doi.org\/10.1007\/s10489-017-0926-z","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,2]]}}}