{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T06:45:10Z","timestamp":1769150710005,"version":"3.49.0"},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T00:00:00Z","timestamp":1574726400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T00:00:00Z","timestamp":1574726400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evol. Intel."],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1007\/s12065-019-00325-3","type":"journal-article","created":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T07:02:37Z","timestamp":1574751757000},"page":"463-474","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Imaging the search space: a nature-inspired metaheuristic extension"],"prefix":"10.1007","volume":"13","author":[{"given":"Anes","family":"Abbas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nabil M.","family":"Hewahi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,26]]},"reference":[{"key":"325_CR1","doi-asserted-by":"crossref","unstructured":"Kazimipour B, Li X, Qin AK (2014) A review of population initialization techniques for evolutionary algorithms. In: 2014 IEEE Congress on Evolutionary Computation (CEC), pp 2585\u20132592","DOI":"10.1109\/CEC.2014.6900618"},{"key":"325_CR2","unstructured":"Fister Jr I, Yang XS, Fister I, Brest J, Fister D (2013) A brief review of nature-inspired algorithms for optimization. arXiv preprint arXiv:1307.4186"},{"issue":"1","key":"325_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1504\/IJBIC.2011.038700","volume":"3","author":"RS Parpinelli","year":"2011","unstructured":"Parpinelli RS, Lopes HS (2011) New inspirations in swarm intelligence: a survey. Int J Bio Inspired Comput 3(1):1\u201316","journal-title":"Int J Bio Inspired Comput"},{"key":"325_CR4","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, Julien L, Patrick S (2013) A survey on optimization metaheuristics. Inf Sci 237:82\u2013117","journal-title":"Inf Sci"},{"key":"325_CR5","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.asoc.2017.01.039","volume":"55","author":"T Bartz-Beielstein","year":"2017","unstructured":"Bartz-Beielstein T, Zaefferer M (2017) Model-based methods for continuous and discrete global optimization. Appl Soft Comput 55:154\u2013167","journal-title":"Appl Soft Comput"},{"issue":"5","key":"325_CR6","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1137\/0716058","volume":"16","author":"IM Sobol\u2019","year":"1979","unstructured":"Sobol\u2019 IM (1979) On the systematic search in a hypercube. SIAM J Numer Anal 16(5):790\u2013793","journal-title":"SIAM J Numer Anal"},{"issue":"3","key":"325_CR7","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1145\/937503.937505","volume":"35","author":"C Blum","year":"2003","unstructured":"Blum C, Roli A (2003) Metaheuristics in combinatorial optimization: overview and conceptual comparison. ACM Comput Surv 35(3):268\u2013308","journal-title":"ACM Comput Surv"},{"key":"325_CR8","first-page":"1","volume":"2014","author":"W Pan","year":"2014","unstructured":"Pan W, Li K, Wang M, Wang J, Jiang B (2014) Adaptive randomness: a new population initialization method. Math Probl Eng 2014:1\u201314","journal-title":"Math Probl Eng"},{"issue":"12","key":"325_CR9","doi-asserted-by":"publisher","first-page":"1885","DOI":"10.1016\/j.camwa.2003.07.011","volume":"47","author":"H Maaranen","year":"2004","unstructured":"Maaranen H, Miettinen K, M\u00e4kel\u00e4 MM (2004) Quasi-random initial population for genetic algorithms. Computers Math Appl 47(12):1885\u20131895","journal-title":"Computers Math Appl"},{"key":"325_CR10","unstructured":"Richards M, Ventura D (2004) Choosing a starting configuration for particle swarm optimization. In: IEEE international joint conference on neural, vol 3, pp 2309\u20132312"},{"issue":"10","key":"325_CR11","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1016\/j.camwa.2006.07.013","volume":"53","author":"S Rahnamayan","year":"2007","unstructured":"Rahnamayan S, Tizhoosh HR, Salama MM (2007) A novel population initialization method for accelerating evolutionary algorithms. Computers Math Appl 53(10):1605\u20131614","journal-title":"Computers Math Appl"},{"key":"325_CR12","unstructured":"Blum C, Puchinger J, Raidl GR, Roli A (2010) A brief survey on hybrid metaheuristics. In: Proceedings of BIOMA, pp 3\u201318"},{"key":"325_CR13","doi-asserted-by":"crossref","unstructured":"Ting TO, Yang XS, Cheng S, Huang K (2015) Hybrid metaheuristic algorithms: past, present, and future. In: Recent advances in swarm intelligence and evolutionary computation, pp 71\u201383. Springer, Cham","DOI":"10.1007\/978-3-319-13826-8_4"},{"key":"325_CR14","doi-asserted-by":"crossref","unstructured":"Yugay O, Kim I, Kim B, Ko FI (2008) Hybrid genetic algorithm for solving traveling salesman problem with sorted population. In: Third international conference on convergence and hybrid information technology, 2008, ICCIT\u201908, vol 2, pp 1024\u20131028","DOI":"10.1109\/ICCIT.2008.373"},{"key":"325_CR15","unstructured":"Hansen N, Auger A, Mersmann O, Tusar T, Brockhoff D (2016) COCO: a platform for comparing continuous optimizers in a black-box setting. arXiv preprint arXiv:1603.08785"},{"key":"325_CR16","unstructured":"Eberhart RC, Kennedy J (19954) A new optimizer using particle swarm theory. In: Proceedings of the sixth international symposium on micro machine and human science, vol 1, pp 39\u201343"},{"key":"325_CR17","volume":"2015","author":"Y Zhang","year":"2015","unstructured":"Zhang Y, Wang S, Ji G (2015) A comprehensive survey on particle swarm optimization algorithm and its applications. Math Probl Eng 2015:931256","journal-title":"Math Probl Eng"},{"issue":"1","key":"325_CR18","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1017\/S0263574708004530","volume":"27","author":"Q Xu","year":"2009","unstructured":"Xu Q, Li Y (2009) Error analysis and optimal design of a class of translational parallel kinematic machine using particle swarm optimization. Robotica 27(1):67\u201378","journal-title":"Robotica"},{"issue":"1","key":"325_CR19","first-page":"19","volume":"14","author":"DP Rini","year":"2011","unstructured":"Rini DP, Shamsuddin SM, Yuhaniz SS (2011) Particle swarm optimization: technique, system and challenges. Int J Computer Appl 14(1):19\u201326","journal-title":"Int J Computer Appl"},{"issue":"6","key":"325_CR20","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/S0020-0190(02)00447-7","volume":"85","author":"IC Trelea","year":"2003","unstructured":"Trelea IC (2003) The particle swarm optimization algorithm: convergence analysis and parameter selection. Inf Process Lett 85(6):317\u2013325","journal-title":"Inf Process Lett"},{"key":"325_CR21","doi-asserted-by":"crossref","unstructured":"Sanyang M, Durrant R, Kab\u00e1n A (2016) How effective is Cauchy-EDA in high dimensions? In: 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, pp 3409\u20133416","DOI":"10.1109\/CEC.2016.7744221"},{"key":"325_CR22","unstructured":"Hansen N, Finek S, Ros R, Auger A (2009) Real-parameter black-box optimization benchmarking 2009: presentation of the noiseless functions, INRIA"}],"container-title":["Evolutionary Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-019-00325-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12065-019-00325-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-019-00325-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T00:48:46Z","timestamp":1606265326000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12065-019-00325-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,26]]},"references-count":22,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["325"],"URL":"https:\/\/doi.org\/10.1007\/s12065-019-00325-3","relation":{},"ISSN":["1864-5909","1864-5917"],"issn-type":[{"value":"1864-5909","type":"print"},{"value":"1864-5917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,26]]},"assertion":[{"value":"21 January 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 October 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}