{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:36:08Z","timestamp":1786980968280,"version":"build-2736575974"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T00:00:00Z","timestamp":1642982400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T00:00:00Z","timestamp":1642982400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s10586-021-03507-w","type":"journal-article","created":{"date-parts":[[2022,1,23]],"date-time":"2022-01-23T19:05:27Z","timestamp":1642964727000},"page":"2037-2059","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["A new multi-population artificial bee algorithm based on global and local optima for numerical optimization"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5433-3183","authenticated-orcid":false,"given":"Chouaib","family":"Ben Djaballah","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wahid","family":"Nouibat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,24]]},"reference":[{"key":"3507_CR1","first-page":"5229","volume-title":"Review of Optimization Techniques, Encyclopedia of Aerospace Engineering","author":"G Venter","year":"2010","unstructured":"Venter, G.: Review of Optimization Techniques, Encyclopedia of Aerospace Engineering, pp. 5229\u20135238. Wiley, New York (2010)"},{"issue":"6","key":"3507_CR2","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/79.543973","volume":"13","author":"KS Tang","year":"1996","unstructured":"Tang, K.S., Man, K.F., Kwong, S., et al.: Genetic algorithms and their applications. IEEE Signal Process. Mag. 13(6), 22\u201337 (1996)","journal-title":"IEEE Signal Process. Mag."},{"key":"3507_CR3","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN\u201995-International Conference on Neural Networks, 1942\u20131948. IEEE Service Center, Piscat away (1995)"},{"issue":"4","key":"3507_CR4","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/MCI.2006.329691","volume":"1","author":"M Dorigo","year":"2006","unstructured":"Dorigo, M., Birattari, M., Stutzle, T.: Ant colony optimization. IEEE Comput. Intell. Mag. 1(4), 28\u201339 (2006)","journal-title":"IEEE Comput. Intell. Mag."},{"issue":"6","key":"3507_CR5","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon, D.: Biogeography-based optimization. IEEE Trans. Evolut. Comput. 12(6), 702\u2013713 (2008)","journal-title":"IEEE Trans. Evolut. Comput."},{"key":"3507_CR6","unstructured":"Karaboga, D.: An idea based on honey bee swarm for numerical optimization. Technical Report-tr06, Erciyes University, Engineering Faculty, Computer Engineering Department (2005)"},{"issue":"1","key":"3507_CR7","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.amc.2009.03.090","volume":"214","author":"D Karaboga","year":"2009","unstructured":"Karaboga, D., Akay, B.: A comparative study of artificial bee colony algorithm. Appl. Math. Comput. 214(1), 108\u2013132 (2009)","journal-title":"Appl. Math. Comput."},{"issue":"20","key":"3507_CR8","doi-asserted-by":"publisher","first-page":"10253","DOI":"10.1016\/j.amc.2013.04.001","volume":"219","author":"J Luo","year":"2013","unstructured":"Luo, J., Wang, Q., Xiao, X.: A modified artificial bee colony algorithm based on converge-onlookers approach for global optimization. Appl. Math. Comput. 219(20), 10253\u201310262 (2013)","journal-title":"Appl. Math. Comput."},{"key":"3507_CR9","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.knosys.2018.02.029","volume":"148","author":"D Gong","year":"2018","unstructured":"Gong, D., Han, Y., Sun, J.: A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems. Knowl.-Based Syst. 148, 115\u2013130 (2018)","journal-title":"Knowl.-Based Syst."},{"issue":"7","key":"3507_CR10","doi-asserted-by":"publisher","first-page":"3166","DOI":"10.1016\/j.amc.2010.08.049","volume":"217","author":"G Zhu","year":"2010","unstructured":"Zhu, G., Kwong, S.: Gbest-guided artificial bee colony algorithm for numerical function optimization. Appl. Math. Comput. 217(7), 3166\u20133173 (2010)","journal-title":"Appl. Math. Comput."},{"issue":"2","key":"3507_CR11","doi-asserted-by":"publisher","first-page":"3011","DOI":"10.1007\/s10586-018-1817-8","volume":"22","author":"Y Cao","year":"2019","unstructured":"Cao, Y., Lu, Y., Pan, X., et al.: An improved global best guided artificial bee colony algorithm for continuous optimization problems. Clust. Comput. 22(2), 3011\u20133019 (2019)","journal-title":"Clust. Comput."},{"issue":"3","key":"3507_CR12","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1016\/j.cor.2011.06.007","volume":"39","author":"W Gao","year":"2012","unstructured":"Gao, W., Liu, S.: A modified artificial bee colony algorithm. Comput. Oper. Res. 39(3), 687\u2013697 (2012)","journal-title":"Comput. Oper. Res."},{"key":"3507_CR13","doi-asserted-by":"crossref","unstructured":"Jia, D.L., Qu, S.X., Li, L.Y.: A multi-swarm artificial bee colony algorithm for dynamic optimization problems. In: 2016 International Conference on Information System and Artificial Intelligence (ISAI) (2016)","DOI":"10.1109\/ISAI.2016.0100"},{"issue":"1","key":"3507_CR14","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1016\/j.asoc.2007.05.007","volume":"8","author":"D Karaboga","year":"2008","unstructured":"Karaboga, D., Basturk, B.: On the performance of artificial bee colony (ABC) algorithm. Appl. Soft Comput. 8(1), 687\u2013697 (2008)","journal-title":"Appl. Soft Comput."},{"key":"3507_CR15","first-page":"355","volume-title":"Congress of the Italian Association for Artificial Intelligence","author":"B Akay","year":"2009","unstructured":"Akay, B., Karaboga, D.: Solving integer programming problems by using artificial bee colony algorithm. In: Congress of the Italian Association for Artificial Intelligence, pp. 355\u2013364. Springer, Berlin (2009)"},{"key":"3507_CR16","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1016\/j.ins.2014.04.013","volume":"279","author":"H Wang","year":"2014","unstructured":"Wang, H., Wu, Z., Rahnamayan, S., et al.: Multi-strategy ensemble artificial bee colony algorithm. Inf. Sci. 279, 587\u2013603 (2014)","journal-title":"Inf. Sci."},{"issue":"3","key":"3507_CR17","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Glob. Optim. 39(3), 459\u2013471 (2007)","journal-title":"J. Glob. Optim."},{"key":"3507_CR18","doi-asserted-by":"crossref","unstructured":"Krishnanand, K.R., Nayak, S.K., Panigrahi, B.K., et al.: Comparative study of five bio-inspired evolutionary optimization techniques. In: 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)(2009)","DOI":"10.1109\/NABIC.2009.5393750"},{"key":"3507_CR19","first-page":"789","volume-title":"International Fuzzy Systems Association World Congress","author":"D Karaboga","year":"2007","unstructured":"Karaboga, D., Basturk, B.: Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems. In: International Fuzzy Systems Association World Congress, pp. 789\u2013798. Springer, Berlin (2007)"},{"issue":"1","key":"3507_CR20","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s10462-012-9328-0","volume":"42","author":"D Karaboga","year":"2014","unstructured":"Karaboga, D., Gorkemli, B., Ozturk, C., et al.: A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artif. Intell. Rev. 42(1), 21\u201357 (2014)","journal-title":"Artif. Intell. Rev."},{"key":"3507_CR21","first-page":"434","volume":"47","author":"AT Khader","year":"2013","unstructured":"Khader, A.T., Al-Betar, M.A., Mohammed, A.A.: Artificial bee colony algorithm, its variants and applications: a survey. J. Theoret. Appl. Inf. Technol. 47, 434\u2013459 (2013)","journal-title":"J. Theoret. Appl. Inf. Technol."},{"issue":"2","key":"3507_CR22","first-page":"116","volume":"1","author":"RS Rao","year":"2008","unstructured":"Rao, R.S., Narasimham, S.V.L., Ramalingaraju, M.: Optimization of distribution network configuration for loss reduction using artificial bee colony algorithm. Int. J. Electr. Power Energy Syst. Eng. 1(2), 116\u2013122 (2008)","journal-title":"Int. J. Electr. Power Energy Syst. Eng."},{"issue":"5","key":"3507_CR23","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1016\/j.engappai.2010.01.020","volume":"23","author":"SL Sabat","year":"2010","unstructured":"Sabat, S.L., Udgata, S.K., Abraham, A.: Artificial bee colony algorithm for small signal model parameter extraction of MESFET. Eng. Appl. Artif. Intell. 23(5), 689\u2013694 (2010)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"12","key":"3507_CR24","first-page":"5081","volume":"5","author":"PW Tsai","year":"2009","unstructured":"Tsai, P.W., Pan, J.S., Liao, B.Y., et al.: Enhanced artificial bee colony optimization. Int. J. Innov. Comput. Inf. Control 5(12), 5081\u20135092 (2009)","journal-title":"Int. J. Innov. Comput. Inf. Control"},{"key":"3507_CR25","doi-asserted-by":"crossref","unstructured":"Bao, L., Zeng, J.C.: Comparison and analysis of the selection mechanism in the artificial bee colony algorithm. In: 2009 Ninth International Conference on Hybrid Intelligent Systems. IEEE, pp. 411\u2013416 (2009)","DOI":"10.1109\/HIS.2009.319"},{"key":"3507_CR26","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.ins.2010.07.015","volume":"192","author":"B Akay","year":"2012","unstructured":"Akay, B., Karaboga, D.: A modified artificial bee colony algorithm for real-parameter optimization. Inf. Sci. 192, 120\u2013142 (2012)","journal-title":"Inf. Sci."},{"issue":"17","key":"3507_CR27","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1016\/j.ipl.2011.06.002","volume":"111","author":"W Gao","year":"2011","unstructured":"Gao, W., Liu, S.: Improved artificial bee colony algorithm for global optimization. Inf. Process. Lett. 111(17), 871\u2013882 (2011)","journal-title":"Inf. Process. Lett."},{"key":"3507_CR28","doi-asserted-by":"crossref","unstructured":"Aderhold, A., Diwold, K., Scheidler, A., et al.: Artificial bee colony optimization: a new selection scheme and its performance. In: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). Springer, Berlin, pp. 283\u2013294 (2010)","DOI":"10.1007\/978-3-642-12538-6_24"},{"key":"3507_CR29","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1016\/j.asoc.2015.08.021","volume":"37","author":"J Liu","year":"2015","unstructured":"Liu, J., Zhu, H., Ma, Q., et al.: An artificial bee colony algorithm with guide of global & local optima and asynchronous scaling factors for numerical optimization. Appl. Soft Comput. 37, 608\u2013618 (2015)","journal-title":"Appl. Soft Comput."},{"key":"3507_CR30","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1016\/j.asoc.2015.12.046","volume":"41","author":"X Li","year":"2016","unstructured":"Li, X., Yang, G.: Artificial bee colony algorithm with memory. Appl. Soft Comput. 41, 362\u2013372 (2016)","journal-title":"Appl. Soft Comput."},{"issue":"9","key":"3507_CR31","doi-asserted-by":"publisher","first-page":"2935","DOI":"10.1007\/s00500-017-2547-1","volume":"22","author":"Y Xue","year":"2018","unstructured":"Xue, Y., Jiang, J., Zhao, B., et al.: A self-adaptive artificial bee colony algorithm based on global best for global optimization. Soft Comput. 22(9), 2935\u20132952 (2018)","journal-title":"Soft Comput."},{"key":"3507_CR32","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.knosys.2016.04.005","volume":"104","author":"SK Nseef","year":"2016","unstructured":"Nseef, S.K., Abdullah, S., Turky, A., et al.: An adaptive multi-population artificial bee colony algorithm for dynamic optimisation problems. Knowl.-Based Syst. 104, 14\u201323 (2016)","journal-title":"Knowl.-Based Syst."},{"issue":"19\u201321","key":"3507_CR33","doi-asserted-by":"publisher","first-page":"1740087","DOI":"10.1142\/S0217984917400875","volume":"31","author":"M Zhang","year":"2017","unstructured":"Zhang, M., Ji, Z., Wang, Y.: Artificial bee colony algorithm with dynamic multi-population. Mod. Phys. Lett. B 31(19\u201321), 1740087 (2017)","journal-title":"Mod. Phys. Lett. B"},{"key":"3507_CR34","doi-asserted-by":"publisher","first-page":"032003","DOI":"10.1088\/1757-899X\/452\/3\/032003","volume":"452","author":"M Zhao","year":"2018","unstructured":"Zhao, M., Wang, P.: Multi-population artificial bee colony (MPABC) algorithm for numerical optimization. IOP Conf. Ser. Mater. Sci. Eng. 452, 032003 (2018)","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"issue":"18","key":"3507_CR35","doi-asserted-by":"publisher","first-page":"8723","DOI":"10.1007\/s00500-018-3473-6","volume":"23","author":"H Peng","year":"2019","unstructured":"Peng, H., Deng, C., Wu, Z.: Best neighbor-guided artificial bee colony algorithm for continuous optimization problems. Soft Comput. 23(18), 8723\u20138740 (2019)","journal-title":"Soft Comput."},{"issue":"5","key":"3507_CR36","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.1007\/s00521-020-05118-9","volume":"33","author":"A Alrosan","year":"2021","unstructured":"Alrosan, A., Alomoush, W., Norwawi, N., et al.: An improved artificial bee colony algorithm based on mean best-guided approach for continuous optimization problems and real brain MRI images segmentation. Neural Comput. Appl. 33(5), 1671\u20131697 (2021)","journal-title":"Neural Comput. Appl."},{"issue":"1","key":"3507_CR37","doi-asserted-by":"publisher","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., et al.: A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evolut. Comput. 1(1), 3\u201318 (2011)","journal-title":"Swarm Evolut. Comput."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03507-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-021-03507-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03507-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T14:53:34Z","timestamp":1652799214000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-021-03507-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,24]]},"references-count":37,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["3507"],"URL":"https:\/\/doi.org\/10.1007\/s10586-021-03507-w","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,24]]},"assertion":[{"value":"3 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 October 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 December 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"C. Ben Djaballah and W. Nouibat state that there are no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"None.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}