{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:16:09Z","timestamp":1776442569435,"version":"3.51.2"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T00:00:00Z","timestamp":1563148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T00:00:00Z","timestamp":1563148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100008078","name":"University of Strathclyde","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100008078","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1007\/s00500-019-04154-5","type":"journal-article","created":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T15:27:34Z","timestamp":1563204454000},"page":"3861-3891","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Adaptive multi-population inflationary differential evolution"],"prefix":"10.1007","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5046-3028","authenticated-orcid":false,"given":"Marilena","family":"Di Carlo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimiliano","family":"Vasile","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edmondo","family":"Minisci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,7,15]]},"reference":[{"key":"4154_CR1","unstructured":"Alonso S, Jimenez J, Carmona H, Galvan B, Winter G (2005) Performance of a flexible evolutionary algorithm. In: IEEE congress on evolutionary computation (CEC)"},{"key":"4154_CR2","doi-asserted-by":"publisher","unstructured":"Asafuddoula M, Ray T, Sarker R (2011) An adaptive differential evolution algorithm and its performance on real world optimization problems. In: IEEE congress on evolutionary computation (CEC), pp 1057\u20131062. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949734","DOI":"10.1109\/CEC.2011.5949734"},{"key":"4154_CR3","doi-asserted-by":"publisher","unstructured":"Auger A, Hansen, N (2005a) Performance evaluation of an advanced local search evolutionary algorithm. In: IEEE congress on evolutionary computation (CEC), pp 1777\u20131784. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554903","DOI":"10.1109\/CEC.2005.1554903"},{"key":"4154_CR4","doi-asserted-by":"publisher","unstructured":"Auger A, Hansen N (2005b) A restart CMA evolution strategy with increasing population size. In: IEEE congress on evolutionary computation (CEC), pp 1769\u20131776. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554902","DOI":"10.1109\/CEC.2005.1554902"},{"key":"4154_CR5","doi-asserted-by":"publisher","unstructured":"Ballester PJ, Stephenson J, Carter JN, Gallagher K (2005) Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX. In: IEEE congress on evolutionary computation (CEC), pp 498\u2013505. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554724","DOI":"10.1109\/CEC.2005.1554724"},{"key":"4154_CR6","doi-asserted-by":"publisher","unstructured":"Bandaru S, Tulshyan R, Deb K (2011) Modified SBX and adaptive mutation for real world single objective optimization. In: IEEE congress on evolutionary computation (CEC), pp 1335\u20131342. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949771","DOI":"10.1109\/CEC.2011.5949771"},{"key":"4154_CR7","unstructured":"Becker W, Yu X, Tu J (2005) EvLib: a parameterless self-adaptive real-valued optimisation library. In: IEEE congress on evolutionary computation (CEC), pp 498\u2013505"},{"key":"4154_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1","author":"JC Bezdek","year":"1981","unstructured":"Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Springer, New York. \nhttps:\/\/doi.org\/10.1007\/978-1-4757-0450-1","journal-title":"Springer, New York."},{"issue":"6","key":"4154_CR9","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","volume":"10","author":"J Brest","year":"2006","unstructured":"Brest J, Greiner S, Bo\u0161kovi\u0107 B, Mernik M, Zumer V (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evol Comput 10(6):646\u2013657. \nhttps:\/\/doi.org\/10.1109\/TEVC.2006.872133","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"4154_CR10","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1080\/00207721.2011.617899","volume":"44","author":"J Brest","year":"2013","unstructured":"Brest J, Koro\u0161ec P, Silc J, Zamuda A, Bo\u0161kovi\u010d B, Mau\u010dec MS (2013) Differential evolution and differential ant-stigmergy on dynamic optimization problems. Int J Syst Sci 44(4):663\u2013679. \nhttps:\/\/doi.org\/10.1080\/00207721.2011.617899","journal-title":"Int J Syst Sci"},{"key":"4154_CR11","unstructured":"Bui LT, Shan Y, Qi F, Abbass HA (2005) Comparing two versions of differential evolution in real parameter optimization. In: IEEE congress on evolutionary computation (CEC)"},{"key":"4154_CR12","doi-asserted-by":"publisher","unstructured":"Bujok P, Tvrdik J, Polakova R (2014) Differential evolution with rotation-invariant mutation and competing-strategies adaptation. In: IEEE congress on evolutionary computation (CEC), pp 2253\u20132258. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900626","DOI":"10.1109\/CEC.2014.6900626"},{"key":"4154_CR13","doi-asserted-by":"publisher","unstructured":"Chen L, Liu Hl, Zheng Z, Xie S (2014) An evolutionary algorithm based on covariance matrix leaning and searching preference for solving CEC 2014 benchmark problems. In: IEEE congress on evolutionary computation (CEC), pp 2672\u20132677. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900594","DOI":"10.1109\/CEC.2014.6900594"},{"key":"4154_CR14","unstructured":"Competition on testing evolutionary algorithms on real-world numerical optimization problems @ CEC11, New Orleans, USA, June 2011. \nhttp:\/\/www3.ntu.edu.sg\/home\/epnsugan\/index_files\/CEC11-RWP\/CEC11-RWP.htm\n\n. Accessed Apr 2015"},{"key":"4154_CR15","unstructured":"Costa L (2005) A parameter-less evolution strategy for global optimization. In: IEEE congress on evolutionary computation (CEC)"},{"key":"4154_CR16","unstructured":"Das S, Suganthan PN (2010) Problem definitions and evaluation criteria for CEC 2011 competition on testing evolutionary algorithms on real world optimization problems. Technical report, Jadavpur University, Nanyang Technological University"},{"issue":"1","key":"4154_CR17","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","volume":"15","author":"S Das","year":"2011","unstructured":"Das S, Suganthan PN (2011) Differential evolution: a survey of the state-of-the-art. IEEE Trans Evol Comput 15(1):4\u201331. \nhttps:\/\/doi.org\/10.1109\/TEVC.2010.2059031","journal-title":"IEEE Trans Evol Comput"},{"key":"4154_CR18","doi-asserted-by":"publisher","unstructured":"Di Carlo M, Vasile M, Minisci E (2015) Multi-population inflationary differential evolution algorithm with adaptive local restart. In: IEEE congress on evolutionary computation (CEC), pp 632\u2013639. \nhttps:\/\/doi.org\/10.1109\/CEC.2015.7256950","DOI":"10.1109\/CEC.2015.7256950"},{"key":"4154_CR19","doi-asserted-by":"publisher","unstructured":"Dourado\u00a0Maia R, Nunes\u00a0de Castro L, Matos\u00a0Caminhas W (2014) Real-parameter optimization with optbees. In: IEEE congress on evolutionary computation (CEC), pp 2649\u20132655. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900549","DOI":"10.1109\/CEC.2014.6900549"},{"key":"4154_CR20","doi-asserted-by":"publisher","unstructured":"Elsayed SM, Sarker RA, Essam DL (2011a) Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems. In: IEEE congress on evolutionary computation (CEC), pp 1041\u20131048. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949732","DOI":"10.1109\/CEC.2011.5949732"},{"key":"4154_CR21","doi-asserted-by":"publisher","unstructured":"Elsayed SM, Sarker RA, Essam DL (2011b) GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems. In: IEEE congress on evolutionary computation (CEC), pp 1034\u20131040. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949731","DOI":"10.1109\/CEC.2011.5949731"},{"key":"4154_CR22","doi-asserted-by":"publisher","unstructured":"Erlich I, Rueda JL, Wildenhues S, Shewarega F (2014) Evaluating the mean-variance mapping optimization on the IEEE-CEC 2014 test suite. In: IEEE congress on evolutionary computation (CEC), pp 1625\u20131632. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900516","DOI":"10.1109\/CEC.2014.6900516"},{"key":"4154_CR23","doi-asserted-by":"publisher","unstructured":"Elsayed SM, Sarker RA, Essam DL, Hamza NM (2014) Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization. In: IEEE congress on evolutionary computation (CEC), pp 1650\u20131657. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900308","DOI":"10.1109\/CEC.2014.6900308"},{"key":"4154_CR24","doi-asserted-by":"publisher","unstructured":"Garc\u00eda-Mart\u00ednez C, Lozano M (2005) Hybrid real-coded genetic algorithms with female and male differentiation. In: IEEE congress on evolutionary computation (CEC), pp 896\u2013903. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554778","DOI":"10.1109\/CEC.2005.1554778"},{"key":"4154_CR25","doi-asserted-by":"publisher","unstructured":"Haider U, Das S, Maity D, Abraham A, Dasgupta P (2011) Self adaptive cluster based and weed inspired differential evolution algorithm for real world optimization. In: IEEE congress on evolutionary computation (CEC), pp 750\u2013756. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949694","DOI":"10.1109\/CEC.2011.5949694"},{"key":"4154_CR26","doi-asserted-by":"publisher","unstructured":"Hu Z, Bao Y, Xiong T (2014) Partial opposition-based adaptive differential evolution algorithms: evaluation on the CEC 2014 benchmark set for real-parameter optimization. In: IEEE congress on evolutionary computation (CEC), pp 2259\u20132265. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900489","DOI":"10.1109\/CEC.2014.6900489"},{"key":"4154_CR27","unstructured":"Hybrid differential evolution algorithm with adaptive crossover mechanism. \nhttp:\/\/uk.mathworks.com\/matlabcentral\/fileexchange\/39217-hybrid-differential-evolution-algorithm-with-adaptive-crossover-mechanism\/content\/DE_TCRparam.m\n\n. Accessed Apr 2015"},{"key":"4154_CR28","doi-asserted-by":"publisher","unstructured":"Koro\u0161ec P, \u0160ilc J (2011) The continuous differential ant-stigmergy algorithm applied to real-world optimization problems. In: IEEE congress on evolutionary computation (CEC), pp 1327\u20131334. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949770","DOI":"10.1109\/CEC.2011.5949770"},{"key":"4154_CR29","doi-asserted-by":"publisher","unstructured":"LaTorre A, Muelas S, Pe\u00f1a JM (2011) Benchmarking a hybrid DE-RHC algorithm on real world problems. In: IEEE congress on evolutionary computation (CEC), pp 1027\u20131033. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949730","DOI":"10.1109\/CEC.2011.5949730"},{"key":"4154_CR30","doi-asserted-by":"publisher","unstructured":"Liang JJ, Suganthan PN (2005) Dynamic multi-swarm particle swarm optimizer with local search. In: IEEE congress on evolutionary computation (CEC), pp 522\u2013528. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554727","DOI":"10.1109\/CEC.2005.1554727"},{"key":"4154_CR31","unstructured":"Liang J, Qu B, Suganthan P (2013) Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization. Technical report"},{"key":"4154_CR32","doi-asserted-by":"publisher","unstructured":"Li Z, Shang Z, Qu BY, Liang JJ (2014) Differential evolution strategy based on the constraint of fitness values classification. In: IEEE congress on evolutionary computation (CEC), pp 1454\u20131460. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900507","DOI":"10.1109\/CEC.2014.6900507"},{"issue":"6","key":"4154_CR33","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1007\/s00500-004-0363-x","volume":"9","author":"J Liu","year":"2005","unstructured":"Liu J, Lampinen J (2005) A fuzzy adaptive differential evolution algorithm. Soft Comput 9(6):448\u2013462. \nhttps:\/\/doi.org\/10.1007\/s00500-004-0363-x","journal-title":"Soft Comput"},{"issue":"3","key":"4154_CR34","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/s11590-014-0816-9","volume":"9","author":"M Locatelli","year":"2015","unstructured":"Locatelli M, Vasile M (2015) (Non) convergence results for the differential evolution method. Optim Lett 9(3):413\u2013425. \nhttps:\/\/doi.org\/10.1007\/s11590-014-0816-9","journal-title":"Optim Lett"},{"key":"4154_CR35","doi-asserted-by":"publisher","unstructured":"Mallipeddi R, Suganthan PN (2011) Ensemble differential evolution algorithm for CEC2011 problems. In: IEEE congress on evolutionary computation (CEC), pp 1557\u20131564. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949801","DOI":"10.1109\/CEC.2011.5949801"},{"key":"4154_CR36","doi-asserted-by":"publisher","unstructured":"Mallipeddi R, Wu G, Lee M, Suganthan P (2014) Gaussian adaptation based parameter adaptation for differential evolution. In: IEEE congress on evolutionary computation (CEC), pp 1760\u20131767. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900601","DOI":"10.1109\/CEC.2014.6900601"},{"key":"4154_CR37","doi-asserted-by":"publisher","unstructured":"Mandal A, Das AK, Mukherjee P, Das S, Suganthan PN (2011) Modified differential evolution with local search algorithm for real world optimization. In: IEEE congress on evolutionary computation (CEC), pp 1565\u20131572. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949802","DOI":"10.1109\/CEC.2011.5949802"},{"key":"4154_CR38","doi-asserted-by":"publisher","unstructured":"Minisci E, Vasile M (2014) Adaptive inflationary differential evolution. In: IEEE congress on evolutionary computation (CEC), pp 1792\u20131799. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900587","DOI":"10.1109\/CEC.2014.6900587"},{"key":"4154_CR39","doi-asserted-by":"publisher","unstructured":"Molina D, Herrera F, Lozano M (2005) Adaptive local search parameters for real-coded memetic algorithms. In: IEEE congress on evolutionary computation (CEC), pp 888\u2013895. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554777","DOI":"10.1109\/CEC.2005.1554777"},{"key":"4154_CR40","doi-asserted-by":"publisher","unstructured":"Molina D, Lacroix B, Herrera F (2014) Influence of regions on the memetic algorithm for the cec\u20192014 special session on real-parameter single objective optimisation. In: IEEE congress on evolutionary computation (CEC), pp 1633\u20131640. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900536","DOI":"10.1109\/CEC.2014.6900536"},{"key":"4154_CR41","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1007\/11596448_28","volume-title":"Computational Intelligence and Security","author":"Mahamed G. H. Omran","year":"2005","unstructured":"Omran MG, Salman A, Engelbrecht AP (2005) Self-adaptive differential evolution. In: Hao Y, Liu J, Wang Y, Cheung Y-M, Yin H, Jiao L, Ma J, Jiao Y-C (eds) Computational intelligence and security. Springer, Berlin, pp 192\u2013199. \nhttps:\/\/doi.org\/10.1007\/11596448_28"},{"issue":"1","key":"4154_CR42","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s10589-013-9565-4","volume":"56","author":"G Papa","year":"2013","unstructured":"Papa G (2013) Parameter-less algorithm for evolutionary-based optimization. Comput Optim Appl 56(1):209\u2013229. \nhttps:\/\/doi.org\/10.1007\/s10589-013-9565-4","journal-title":"Comput Optim Appl"},{"key":"4154_CR43","doi-asserted-by":"publisher","unstructured":"Polakova R, Tvrdik J, Bujok P (2014) Controlled restart in differential evolution applied to CEC2014 benchmark functions. In: IEEE congress on evolutionary computation (CEC), pp 2230\u20132236. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900632","DOI":"10.1109\/CEC.2014.6900632"},{"key":"4154_CR44","unstructured":"Ponnuthurai nagaratnam sugantha shared documents. \nhttp:\/\/web.mysites.ntu.edu.sg\/epnsugan\/PublicSite\/Shared%20Documents\/Forms\/AllItems.aspx\n\n. Accessed Apr 2015"},{"key":"4154_CR45","doi-asserted-by":"publisher","unstructured":"Po\u0161ik P (2005) Real-parameter optimization using the mutation step co-evolution. In: IEEE congress on evolutionary computation (CEC), pp 872\u2013879. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554775","DOI":"10.1109\/CEC.2005.1554775"},{"key":"4154_CR46","doi-asserted-by":"publisher","unstructured":"Preux P, Munos R, Valko M (2014) Bandits attack function optimization. In: IEEE congress on evolutionary computation (CEC), pp 2245\u20132252. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900558","DOI":"10.1109\/CEC.2014.6900558"},{"key":"4154_CR47","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-31306-0","author":"K Price","year":"2006","unstructured":"Price K, Storn RM, Lampinen JA (2006) Differential evolution: a practical approach to global optimization. Springer, Berlin. \nhttps:\/\/doi.org\/10.1007\/3-540-31306-0","journal-title":"Springer, Berlin."},{"key":"4154_CR48","doi-asserted-by":"publisher","unstructured":"Qin AK, Suganthan PN (2005) Self-adaptive differential evolution algorithm for numerical optimization. In: IEEE congress on evolutionary computation (CEC), pp 1785\u20131791. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554904","DOI":"10.1109\/CEC.2005.1554904"},{"key":"4154_CR49","doi-asserted-by":"publisher","unstructured":"Qing A (2010) Fundamentals of differential evolution. Differential evolution: fundamentals and applications in electrical engineering. Wiley, New York, pp 41\u201360. \nhttps:\/\/doi.org\/10.1002\/9780470823941.ch2","DOI":"10.1002\/9780470823941.ch2"},{"key":"4154_CR50","doi-asserted-by":"publisher","unstructured":"Qu B, Liang J, Xiao J, Shang Z (2014) Memetic differential evolution based on fitness Euclidean-distance ratio. In: IEEE congress on evolutionary computation (CEC), pp 2266\u20132273. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900476","DOI":"10.1109\/CEC.2014.6900476"},{"key":"4154_CR51","doi-asserted-by":"publisher","unstructured":"Reynoso-Meza G, Sanchis J, Ferragud XB, Dur\u00e1 JMH (2011) Hybrid de algorithm with adaptive crossover operator for solving real-world numerical optimization problems. In: IEEE congress on evolutionary computation (CEC), pp 1551\u20131556. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949800","DOI":"10.1109\/CEC.2011.5949800"},{"key":"4154_CR52","doi-asserted-by":"publisher","unstructured":"Ronkkonen J, Kukkonen S, Price KV (2005) Real-parameter optimization with differential evolution. In: IEEE congress on evolutionary computation (CEC), pp 506\u2013513. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554725","DOI":"10.1109\/CEC.2005.1554725"},{"key":"4154_CR53","doi-asserted-by":"publisher","unstructured":"Saha A, Ray T (2011) How does the good old genetic algorithm fare at real world optimization? In: IEEE congress on evolutionary computation (CEC), pp 1049\u20131056. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949733","DOI":"10.1109\/CEC.2011.5949733"},{"key":"4154_CR54","doi-asserted-by":"publisher","unstructured":"Singh HK, Ray T (2011) Performance of a hybrid EA-DE-memetic algorithm on CEC 2011 real world optimization problems. In: IEEE congress on evolutionary computation (CEC), pp 1322\u20131326. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949769","DOI":"10.1109\/CEC.2011.5949769"},{"key":"4154_CR55","doi-asserted-by":"publisher","unstructured":"Sinha A, Tiwari S, Deb K (2005) A population-based, steady-state procedure for real-parameter optimization. In: IEEE congress on evolutionary computation (CEC), pp 514\u2013521. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554726","DOI":"10.1109\/CEC.2005.1554726"},{"key":"4154_CR56","volume-title":"Testing evolutionary algorithms on real-world numerical optimization problems","author":"P Suganthan","year":"2011","unstructured":"Suganthan P (2011) Testing evolutionary algorithms on real-world numerical optimization problems. Nanyang Technological University, School of Electrical and Electronics Engineering, Singapore"},{"key":"4154_CR57","unstructured":"Suganthan PN, Hansen N, Liang JJ, Deb K, Chen YP, Auger A, Tiwari S (2005) Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. Technical report, Nanyang Technological University"},{"key":"4154_CR58","doi-asserted-by":"publisher","unstructured":"Tanabe R, Fukunaga AS (2014) Improving the search performance of shade using linear population size reduction. In: IEEE congress on evolutionary computation (CEC), pp 1658\u20131665. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900380","DOI":"10.1109\/CEC.2014.6900380"},{"issue":"2","key":"4154_CR59","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1109\/TEVC.2010.2087026","volume":"15","author":"M Vasile","year":"2011","unstructured":"Vasile M, Minisci E, Locatelli M (2011) An inflationary differential evolution algorithm for space trajectory optimization. IEEE Trans Evol Comput 15(2):267\u2013281. \nhttps:\/\/doi.org\/10.1109\/TEVC.2010.2087026","journal-title":"IEEE Trans Evol Comput"},{"issue":"28","key":"4154_CR60","doi-asserted-by":"publisher","first-page":"5111","DOI":"10.1021\/jp970984n","volume":"101","author":"DJ Wales","year":"1997","unstructured":"Wales DJ, Doye JP (1997) Global optimization by basin-hopping and the lowest energy structures of Lennard-Jones clusters containing up to 110 atoms. J Phys Chem A 101(28):5111\u20135116. \nhttps:\/\/doi.org\/10.1021\/jp970984n","journal-title":"J Phys Chem A"},{"key":"4154_CR61","doi-asserted-by":"publisher","unstructured":"Wang Y, Li B, Zhang K (2011) Estimation of distribution and differential evolution cooperation for real-world numerical optimization problems. In: IEEE congress on evolutionary computation (CEC), pp 1315\u20131321. \nhttps:\/\/doi.org\/10.1109\/CEC.2011.5949768","DOI":"10.1109\/CEC.2011.5949768"},{"key":"4154_CR62","doi-asserted-by":"publisher","unstructured":"Xu C, Huang H, Ye S (2014) A differential evolution with replacement strategy for real-parameter numerical optimization. In: IEEE congress on evolutionary computation (CEC), pp 1617\u20131624. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900468","DOI":"10.1109\/CEC.2014.6900468"},{"key":"4154_CR63","doi-asserted-by":"publisher","unstructured":"Yashesh D, Deb K, Bandaru S (2014) Non-uniform mapping in real-coded genetic algorithms. In: IEEE congress on evolutionary computation (CEC), pp 2237\u20132244. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900621","DOI":"10.1109\/CEC.2014.6900621"},{"key":"4154_CR64","doi-asserted-by":"publisher","unstructured":"Yu C, Kelley L, Zheng S, Tan Y (2014) Fireworks algorithm with differential mutation for solving the CEC 2014 competition problems. In: IEEE congress on evolutionary computation (CEC), pp 3238\u20133245. \nhttps:\/\/doi.org\/10.1109\/CEC.2014.6900590","DOI":"10.1109\/CEC.2014.6900590"},{"key":"4154_CR65","doi-asserted-by":"publisher","unstructured":"Yuan B, Gallagher M (2005) Experimental results for the special session on real-parameter optimization at cec 2005: a simple, continuous EDA. In: IEEE congress on evolutionary computation (CEC), pp 1792\u20131799. \nhttps:\/\/doi.org\/10.1109\/CEC.2005.1554905","DOI":"10.1109\/CEC.2005.1554905"},{"issue":"5","key":"4154_CR66","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","volume":"13","author":"J Zhang","year":"2009","unstructured":"Zhang J, Sanderson AC (2009) JADE: adaptive differential evolution with optional external archive. IEEE Trans Evol Comput 13(5):945\u2013958. \nhttps:\/\/doi.org\/10.1109\/TEVC.2009.2014613","journal-title":"IEEE Trans Evol Comput"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04154-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-019-04154-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04154-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,13]],"date-time":"2020-07-13T23:11:40Z","timestamp":1594681900000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-019-04154-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,15]]},"references-count":66,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,3]]}},"alternative-id":["4154"],"URL":"https:\/\/doi.org\/10.1007\/s00500-019-04154-5","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,15]]},"assertion":[{"value":"15 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}