{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T22:17:40Z","timestamp":1778883460067,"version":"3.51.4"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2017,11,10]],"date-time":"2017-11-10T00:00:00Z","timestamp":1510272000000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s00521-017-3265-4","type":"journal-article","created":{"date-parts":[[2017,11,10]],"date-time":"2017-11-10T15:53:31Z","timestamp":1510329211000},"page":"3245-3263","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Self-organizing hierarchical monkey algorithm with time-varying parameter"],"prefix":"10.1007","volume":"31","author":[{"given":"Gaoji","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanfei","family":"Lan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruiqing","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,11,10]]},"reference":[{"key":"3265_CR1","doi-asserted-by":"crossref","unstructured":"Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: IEEE congress on evolutionary computation, pp 4661\u20134666","DOI":"10.1109\/CEC.2007.4425083"},{"key":"3265_CR2","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.ins.2013.02.041","volume":"237","author":"I Boussa\u00efd","year":"2013","unstructured":"Boussa\u00efd I, Lepagnot J, Siarry P (2013) A survey on optimization metaheuristics. Inf Sci 237:82\u2013117","journal-title":"Inf Sci"},{"key":"3265_CR3","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, \u017dumer V (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evol Comput 10:646\u2013657","journal-title":"IEEE Trans Evol Comput"},{"key":"3265_CR4","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","volume":"15","author":"S Das","year":"2011","unstructured":"Das S, Suganthan P (2011) Differential evolution: a survey of the state-of-the-art. IEEE Trans Evol Comput 15:4\u201331","journal-title":"IEEE Trans Evol Comput"},{"key":"3265_CR5","unstructured":"Das S, Suganthan P (2010) Problem definitions and evaluation criteria for CEC 2011 competition on testing evolutionary algorithms on real world optimization problems. Jadavpur Univ., Kolkata, India, and Nanyang Technol. Univ., Singapore, Dec. 2010"},{"key":"3265_CR6","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.tcs.2005.05.020","volume":"344","author":"M Dorigo","year":"2005","unstructured":"Dorigo M, Blum C (2005) Ant colony optimization theory: a survey. Theor Comput Sci 344:243\u2013278","journal-title":"Theor Comput Sci"},{"key":"3265_CR7","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1016\/j.cor.2012.10.014","volume":"40","author":"Z Drezner","year":"2013","unstructured":"Drezner Z, Misevi\u010dius A (2013) Enhancing the performance of hybrid genetic algorithms by differential improvement. Comput Oper Res 40:1038\u20131046","journal-title":"Comput Oper Res"},{"key":"3265_CR8","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1016\/j.asoc.2014.03.043","volume":"24","author":"M Eita","year":"2014","unstructured":"Eita M, Fahmy M (2014) Group counseling optimization. Appl Soft Comput 24:585\u2013604","journal-title":"Appl Soft Comput"},{"key":"3265_CR9","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.ins.2012.05.017","volume":"216","author":"M Epitropakis","year":"2012","unstructured":"Epitropakis M, Plagianakos V, Vrahatis M (2012) Evolving cognitive and social experience in particle swarm optimization through differential evolution: a hybrid approach. Inf Sci 216:50\u201392","journal-title":"Inf Sci"},{"key":"3265_CR10","volume-title":"Intelligence through simulated evolution: forty years of evolutionary programming","author":"L Fogel","year":"1999","unstructured":"Fogel L (1999) Intelligence through simulated evolution: forty years of evolutionary programming. Wiley, New York"},{"key":"3265_CR11","doi-asserted-by":"publisher","first-page":"4831","DOI":"10.1016\/j.cnsns.2012.05.010","volume":"17","author":"A Gandomi","year":"2012","unstructured":"Gandomi A, Alavi A (2012) Krill herd: a new bio-inspired optimization algorithm. Commun Nonlinear Sci Numer Simul 17:4831\u20134845","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"3265_CR12","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.1016\/j.ejor.2006.06.043","volume":"185","author":"C Garc\u00eda-Mart\u00ednez","year":"2008","unstructured":"Garc\u00eda-Mart\u00ednez C, Lozano M, Herrera F, Molina D, S\u00e1nchez A (2008) Global and local real-coded genetic algorithms based on parent-centric crossover operators. Eur J Oper Res 185:1088\u20131113","journal-title":"Eur J Oper Res"},{"key":"3265_CR13","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.ins.2011.08.014","volume":"182","author":"S Ghosh","year":"2012","unstructured":"Ghosh S, Das S, Roy S, Islam S, Suganthan P (2012) A differential covariance matrix adaptation evolutionary algorithm for real parameter optimization. Inf Sci 182:199\u2013219","journal-title":"Inf Sci"},{"key":"3265_CR14","volume-title":"Genetic algorithms in search, optimization and machine learning","author":"D Goldberg","year":"1989","unstructured":"Goldberg D (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley, New York"},{"key":"3265_CR15","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1109\/TEVC.2014.2375933","volume":"19","author":"S Guo","year":"2015","unstructured":"Guo S, Yang C, Hsu P, Tsai J (2015) Improving differential evolution with successful-parent-selecting framework. IEEE Trans Evol Comput 19:717\u2013730","journal-title":"IEEE Trans Evol Comput"},{"key":"3265_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/106365603321828970","volume":"11","author":"N Hansen","year":"2003","unstructured":"Hansen N, M\u00fcller S, Koumoutsakos P (2003) Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evol Comput 11:1\u201318","journal-title":"Evol Comput"},{"key":"3265_CR17","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/4235.843494","volume":"4","author":"F Herrera","year":"2000","unstructured":"Herrera F, Lozano M (2000) Gradual distributed real-coded genetic algorithms. IEEE Trans Evol Comput 4:43\u201363","journal-title":"IEEE Trans Evol Comput"},{"key":"3265_CR18","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1109\/TEVC.2012.2232931","volume":"17","author":"M Hu","year":"2013","unstructured":"Hu M, Wu T, Weir J (2013) An adaptive particle swarm optimization with multiple adaptive methods. IEEE Trans Evol Comput 17:705\u2013720","journal-title":"IEEE Trans Evol Comput"},{"key":"3265_CR19","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s10462-009-9127-4","volume":"31","author":"D Karaboga","year":"2009","unstructured":"Karaboga D, Akay B (2009) A survey: algorithms simulating bee swarm intelligence. Artif Intell Rev 31:61\u201385","journal-title":"Artif Intell Rev"},{"key":"3265_CR20","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1109\/TEVC.2014.2308294","volume":"19","author":"G Karafotias","year":"2015","unstructured":"Karafotias G, Hoogendoorn M, Eiben A (2015) Parameter control in evolutionary algorithms: trends and challenges. IEEE Trans Evol Comput 19:167\u2013187","journal-title":"IEEE Trans Evol Comput"},{"key":"3265_CR21","volume-title":"Swarm intelligence","author":"J Kennedy","year":"2001","unstructured":"Kennedy J, Eberhart R, Shi Y (2001) Swarm intelligence. Morgan Kaufman, San Francisco"},{"key":"3265_CR22","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1016\/j.cie.2011.04.014","volume":"61","author":"Y Lan","year":"2011","unstructured":"Lan Y, Zhao R, Tang W (2011) Minimum risk criterion for uncertain production planning problems. Comput Ind Eng 61:591\u2013599","journal-title":"Comput Ind Eng"},{"key":"3265_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-1539-5","volume-title":"Estimation of distribution algorithms: a new tool for evolutionary computation","author":"P Larra\u00f1aga","year":"2002","unstructured":"Larra\u00f1aga P, Lozano J (2002) Estimation of distribution algorithms: a new tool for evolutionary computation. Kluwer Academic Publishers, Boston"},{"key":"3265_CR24","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.advengsoft.2015.11.004","volume":"92","author":"M Li","year":"2016","unstructured":"Li M, Zhao H, Weng X, Han T (2016) A novel nature-inspired algorithm for optimization: virus colony search. Adv Eng Softw 92:65\u201388","journal-title":"Adv Eng Softw"},{"key":"3265_CR25","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 201311"},{"key":"3265_CR26","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.engappai.2014.01.011","volume":"30","author":"H Ma","year":"2014","unstructured":"Ma H, Simon D, Fei M, Shu X, Chen Z (2014) Hybrid biogeography-based evolutionary algorithms. Eng Appl Artif Intell 30:213\u2013224","journal-title":"Eng Appl Artif Intell"},{"key":"3265_CR27","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.ins.2014.10.042","volume":"295","author":"S Mahdavi","year":"2015","unstructured":"Mahdavi S, Shiri M, Rahnamayan S (2015) Metaheuristics in large-scale global continues optimization: a survey. Inf Sci 295:407\u2013428","journal-title":"Inf Sci"},{"key":"3265_CR28","first-page":"453","volume":"21","author":"S Mohadeseh","year":"2013","unstructured":"Mohadeseh S, Hossein N (2013) A modified monkey algorithm for real-parameter optimization. J Mult Valued Logic Soft Comput 21:453\u2013477","journal-title":"J Mult Valued Logic Soft Comput"},{"key":"3265_CR29","doi-asserted-by":"publisher","first-page":"1047","DOI":"10.1016\/j.asoc.2014.08.025","volume":"24","author":"H Pandey","year":"2014","unstructured":"Pandey H, Chaudhary A, Mehrotra D (2014) A comparative review of approaches to prevent premature convergence in GA. Appl Soft Comput 24:1047\u20131077","journal-title":"Appl Soft Comput"},{"key":"3265_CR30","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1007\/s00500-011-0754-8","volume":"16","author":"J Parejo","year":"2012","unstructured":"Parejo J, Ruiz-Cort\u00e9s A, Lozano S, Fernandez P (2012) Metaheuristic optimization frameworks: a survey and benchmarking. Soft Comput 16:527\u2013561","journal-title":"Soft Comput"},{"key":"3265_CR31","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.ejor.2011.07.038","volume":"216","author":"A Piotrowski","year":"2012","unstructured":"Piotrowski A, Napiorkowski J, Kiczko A (2012) Differential evolution algorithm with separated groups for multi-dimensional optimization problems. Eur J Oper Res 216:33\u201346","journal-title":"Eur J Oper Res"},{"key":"3265_CR32","volume-title":"Differential evolution: a practical approach to global optimization","author":"K Price","year":"2005","unstructured":"Price K, Storn R, Lampinen J (2005) Differential evolution: a practical approach to global optimization. Springer, Berlin"},{"key":"3265_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2011.08.006","volume":"183","author":"R Rao","year":"2012","unstructured":"Rao R, Savsani V, Vakharia D (2012) Teaching\u2013learning-based optimization: an optimization method for continuous non-linear large scale problems. Inf Sci 183:1\u201315","journal-title":"Inf Sci"},{"key":"3265_CR34","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi E, Nezamabadi-Pour H, Saryazdi S (2009) GSA: a gravitational search algorithm. Inf Sci 179:2232\u20132248","journal-title":"Inf Sci"},{"key":"3265_CR35","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1109\/TEVC.2004.826071","volume":"8","author":"A Ratnaweera","year":"2004","unstructured":"Ratnaweera A, Halgamuge S, Watson H (2004) Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans Evol Comput 8:240\u2013255","journal-title":"IEEE Trans Evol Comput"},{"key":"3265_CR36","unstructured":"Riget J, Vesterstom J (2002) Adiversity-guided particle swarm optimizer\u2013the ARPSO. Technical report, EVAlife, Denmark"},{"key":"3265_CR37","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1007\/s00521-015-1920-1","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S (2016) Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput Appl 27:1053\u20131073","journal-title":"Neural Comput Appl"},{"key":"3265_CR38","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon D (2008) Biogeography-based optimization. IEEE Trans Evol Comput 12:702\u2013713","journal-title":"IEEE Trans Evol Comput"},{"key":"3265_CR39","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.swevo.2016.04.002","volume":"30","author":"Y Sharafi","year":"2016","unstructured":"Sharafi Y, Khanesar M, Teshnehlab M (2016) COOA: competitive optimization algorithm. Swarm Evol Comput 30:39\u201363","journal-title":"Swarm Evol Comput"},{"key":"3265_CR40","first-page":"546","volume":"246","author":"G Singh","year":"2014","unstructured":"Singh G, Deep K, Nagar A (2014) Cell-like p-systems based on rules of particle swarm optimization. Appl Math Comput 246:546\u2013560","journal-title":"Appl Math Comput"},{"key":"3265_CR41","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.cie.2009.09.001","volume":"58","author":"G Sun","year":"2010","unstructured":"Sun G, Liu Y, Lan Y (2010) Optimizing material procurement planning problem by two-stage fuzzy programming. Comput Ind Eng 58:97\u2013107","journal-title":"Comput Ind Eng"},{"key":"3265_CR42","doi-asserted-by":"publisher","unstructured":"Sun G, Peng J, Zhao R (2017) Differential evolution with individual-dependent and dynamic parameter adjustment. Soft Comput. \n                    https:\/\/doi.org\/10.1007\/s00500-017-2626-3","DOI":"10.1007\/s00500-017-2626-3"},{"key":"3265_CR43","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1016\/j.asoc.2015.10.047","volume":"38","author":"G Sun","year":"2016","unstructured":"Sun G, Zhao R, Lan Y (2016) Joint operations algorithm for large-scale global optimization. Appl Soft Comput 38:1025\u20131039","journal-title":"Appl Soft Comput"},{"key":"3265_CR44","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1109\/TEVC.2014.2355174","volume":"19","author":"M Tayarani-N","year":"2015","unstructured":"Tayarani-N M, Yao X, Xu H (2015) Meta-heuristic algorithms in car engine design: a literature survey. IEEE Trans Evol Comput 19:609\u2013629","journal-title":"IEEE Trans Evol Comput"},{"key":"3265_CR45","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.ins.2012.10.012","volume":"223","author":"H Wang","year":"2013","unstructured":"Wang H, Sun H, Li C, Rahnamayan S, Pan J (2013) Diversity enhanced particle swarm optimization with neighborhood search. Inf Sci 223:119\u2013135","journal-title":"Inf Sci"},{"key":"3265_CR46","first-page":"2963","volume":"9","author":"J Wang","year":"2013","unstructured":"Wang J, Wang T, Shi P, Tu M, Yang F (2013) Membrane optimization algorithm based on mutated PSO and its application in nonlinear control systems. Int J Innov Comput Inf Control 9:2963\u20132977","journal-title":"Int J Innov Comput Inf Control"},{"key":"3265_CR47","doi-asserted-by":"crossref","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, pp 1617\u20131624","DOI":"10.1109\/CEC.2014.6900468"},{"key":"3265_CR48","doi-asserted-by":"publisher","first-page":"1451","DOI":"10.1007\/s00521-015-1951-7","volume":"27","author":"X Xu","year":"2016","unstructured":"Xu X, Hua C, Tang Y (2016) Modeling of the hot metal silicon content in blast furnace using support vector machine optimized by an improved particle swarm optimizer. Neural Comput Appl 27:1451\u20131461","journal-title":"Neural Comput Appl"},{"key":"3265_CR49","volume-title":"Nature-inspired metaheuristic algorithms","author":"X Yang","year":"2008","unstructured":"Yang X (2008) Nature-inspired metaheuristic algorithms. Luniver Press: Springer, Frome"},{"key":"3265_CR50","doi-asserted-by":"crossref","unstructured":"Yashesh D, Deb K, Bandaru S (2014) Non-uniform mapping in real-coded genetic algorithms. In: IEEE congress on evolutionary computation, pp 2237\u20132244","DOI":"10.1109\/CEC.2014.6900621"},{"key":"3265_CR51","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1002\/stc.1664","volume":"22","author":"T Yi","year":"2015","unstructured":"Yi T, Li H, Zhang X (2015) Health monitoring sensor placement optimization for canton tower using immune monkey algorithm. Struct Control Health Monit 22:123\u2013138","journal-title":"Struct Control Health Monit"},{"key":"3265_CR52","doi-asserted-by":"crossref","unstructured":"Yi T, Li H, Zhang X (2012) Sensor placement on canton tower for health monitoring using asynchronous-climb monkey algorithm. Smart Mater Struct, vol. 21, Article No: 125023","DOI":"10.1088\/0964-1726\/21\/12\/125023"},{"key":"3265_CR53","doi-asserted-by":"crossref","unstructured":"Yi T, Li H, Gu M, Zhang X (2014) Sensor placement optimization in structural health monitoring using niching monkey algorithm. Int J Struct Stab Dyn, Article No: 1440012","DOI":"10.1142\/S0219455414400124"},{"key":"3265_CR54","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.asoc.2014.04.042","volume":"22","author":"X Zhao","year":"2014","unstructured":"Zhao X, Liu Z, Yang X (2014) A multi-swarm cooperative multistage perturbation guiding particle swarm optimizer. Appl Soft Comput 22:77\u201393","journal-title":"Appl Soft Comput"},{"key":"3265_CR55","first-page":"165","volume":"2","author":"R Zhao","year":"2008","unstructured":"Zhao R, Tang W (2008) Monkey algorithm for global numerical optimization. J Uncertain Syst 2:165\u2013176","journal-title":"J Uncertain Syst"},{"key":"3265_CR56","first-page":"645","volume":"222","author":"L Zheng","year":"2013","unstructured":"Zheng L (2013) An improved monkey algorithm with dynamic adaptation. Appl Math Comput 222:645\u2013657","journal-title":"Appl Math Comput"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3265-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-017-3265-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3265-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,6]],"date-time":"2019-09-06T18:14:13Z","timestamp":1567793653000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-017-3265-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,10]]},"references-count":56,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["3265"],"URL":"https:\/\/doi.org\/10.1007\/s00521-017-3265-4","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,11,10]]},"assertion":[{"value":"14 November 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 November 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 November 2017","order":3,"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":"We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}