{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T16:20:18Z","timestamp":1778343618537,"version":"3.51.4"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T00:00:00Z","timestamp":1600387200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T00:00:00Z","timestamp":1600387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"The National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61976101"],"award-info":[{"award-number":["61976101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"The National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61572224"],"award-info":[{"award-number":["61572224"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"The Natural Science Foundation in colleges and universities of Anhui Province","award":["KJ2019B16"],"award-info":[{"award-number":["KJ2019B16"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1007\/s00500-020-05308-6","type":"journal-article","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T08:03:53Z","timestamp":1600416233000},"page":"2371-2398","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A novel hybrid dynamic fireworks algorithm with particle swarm optimization"],"prefix":"10.1007","volume":"25","author":[{"given":"Fang","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Debao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,18]]},"reference":[{"key":"5308_CR1","doi-asserted-by":"crossref","unstructured":"Bratton D, Kennedy J (2007) Defining a standard for particle swarm optimization. In: Proceedings of IEEE swarm intelligence symposium, pp 120\u2013127","DOI":"10.1109\/SIS.2007.368035"},{"issue":"6","key":"5308_CR2","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, Boskovic B et al (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evol Comput 10(6):646\u2013657","journal-title":"IEEE Trans Evol Comput"},{"key":"5308_CR3","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.ins.2018.09.039","volume":"473","author":"D Chen","year":"2018","unstructured":"Chen D, Zou F, Lu R et al (2018a) Backtracking search optimization algorithm based on knowledge learning. Inf Sci 473:202\u2013226","journal-title":"Inf Sci"},{"key":"5308_CR4","first-page":"1","volume":"2018","author":"S Chen","year":"2018","unstructured":"Chen S, Liu Y, Wei L et al (2018b) PS-FW: a hybrid algorithm based on particle swarm and fireworks for global optimization. Comput Intell Neurosci 2018:1\u201327","journal-title":"Comput Intell Neurosci"},{"issue":"15","key":"5308_CR5","doi-asserted-by":"crossref","first-page":"8121","DOI":"10.1016\/j.amc.2013.02.017","volume":"219","author":"P Civicioglu","year":"2013","unstructured":"Civicioglu P (2013) Backtracking search optimization algorithm for numerical optimization problems. Appl Math Comput 219(15):8121\u20138144","journal-title":"Appl Math Comput"},{"key":"5308_CR6","unstructured":"Daniel B, Kennedy J (2007) Defining a standard for particle swarm optimization. In: Proceeding of the 2007 IEEE swarm intelligence symposium (SIS2007)"},{"issue":"4","key":"5308_CR8","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1504\/IJMIC.2011.043157","volume":"14","author":"H Gao","year":"2011","unstructured":"Gao H, Diao M (2011) Cultural firework algorithm and its application for digital filters design. Int J Modell Identif Control 14(4):324\u2013331","journal-title":"Int J Modell Identif Control"},{"key":"5308_CR9","first-page":"1","volume":"2018","author":"S Gholizadeh","year":"2018","unstructured":"Gholizadeh S, Milany A (2018) An improved fireworks algorithm for discrete sizing optimization of steel skeletal structures. Eng Optim 2018:1\u201321","journal-title":"Eng Optim"},{"key":"5308_CR10","unstructured":"Ke D, Zheng S, Ying T (2013) A GPU-based parallel fireworks algorithm for optimization. In: Conference on genetic & evolutionary computation, pp 1\u20138"},{"key":"5308_CR11","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of 1995 IEEE international conference neural networks, vol 4, pp 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"5308_CR12","doi-asserted-by":"crossref","unstructured":"Li J, Zheng S, Ying T (2014) Adaptive fireworks algorithm. In: 2014 IEEE congress on evolutionary computation (CEC). IEEE, pp 3214\u20133221","DOI":"10.1109\/CEC.2014.6900418"},{"issue":"1","key":"5308_CR13","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1109\/TEVC.2016.2589821","volume":"21","author":"J Li","year":"2017","unstructured":"Li J, Zheng S, Tan Y (2017) The effect of information utilization: introducing a novel guiding spark in the fireworks algorithm. IEEE Trans Evol Comput 21(1):135\u2013166","journal-title":"IEEE Trans Evol Comput"},{"key":"5308_CR14","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1186\/s13638-018-1259-2","volume":"1","author":"J Li","year":"2018","unstructured":"Li J, Tian Q, Zhang G et al (2018) Task scheduling algorithm based on fireworks algorithm. Eurasip J Wirel Commun Netw 1:256","journal-title":"Eurasip J Wirel Commun Netw"},{"issue":"3","key":"5308_CR15","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1109\/TEVC.2005.857610","volume":"10","author":"JJ Liang","year":"2006","unstructured":"Liang JJ, Qin AK, Suganthan PN et al (2006) Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans Evol Comput 10(3):281\u2013295","journal-title":"IEEE Trans Evol Comput"},{"key":"5308_CR16","unstructured":"Liang JJ, Qu BY, Suganthan PN (2013) Problem definitions and evaluation criteria for the cec 2014 special session and competition on single objective real-parameter numerical optimization. Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore"},{"key":"5308_CR17","doi-asserted-by":"crossref","unstructured":"Liu J, Zheng S, Ying T (2013) The improvement on controlling exploration and exploitation of firework algorithm. In: Advances in swarm intelligence: 4th international conference, ICSI 2013, Harbin, China, Proceedings, Part I, pp 11\u201323","DOI":"10.1007\/978-3-642-38703-6_2"},{"issue":"2","key":"5308_CR18","doi-asserted-by":"publisher","first-page":"32","DOI":"10.4018\/IJSIR.2015040102","volume":"6","author":"SA Ludwig","year":"2015","unstructured":"Ludwig SA, Dawar D (2015) Parallelization of enhanced firework algorithm using map-reduce. Int J Swarm Intell Res 6(2):32\u201351","journal-title":"Int J Swarm Intell Res"},{"issue":"3","key":"5308_CR19","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1109\/TEVC.2004.826074","volume":"8","author":"R Mendes","year":"2004","unstructured":"Mendes R, Kennedy J, Neves J (2004) The fully informed particle swarm: simpler, maybe better. IEEE Trans Evol Comput 8(3):204\u2013210","journal-title":"IEEE Trans Evol Comput"},{"key":"5308_CR20","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"5308_CR21","doi-asserted-by":"crossref","unstructured":"Pei Y, Zheng S, Tan Y, Takagi H (2012) An empirical study on influence of approximation approaches on enhancing fireworks algorithm. In: 2012 IEEE international conference on systems, man, and cybernetics, Seoul, Korea, pp 1322\u20131327","DOI":"10.1109\/ICSMC.2012.6377916"},{"issue":"3","key":"5308_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.advengsoft.2014.04.005","volume":"75","author":"N Pholdee","year":"2014","unstructured":"Pholdee N, Bureerat S (2014) Comparative performance of meta-heuristic algorithms for mass minimisation of trusses with dynamic constraints. Adv Eng Softw 75(3):1\u201313","journal-title":"Adv Eng Softw"},{"key":"5308_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3351-2","author":"F Pushpa","year":"2018","unstructured":"Pushpa F, Chand BJ (2018) Fireworks-inspired biogeography-based optimization. Soft Comput. https:\/\/doi.org\/10.1007\/s00500-018-3351-2","journal-title":"Soft Comput"},{"issue":"2","key":"5308_CR24","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1007\/s40565-016-0195-6","volume":"4","author":"KS Reddy","year":"2016","unstructured":"Reddy KS, Panwarand LK, Kumar R et al (2016) Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm. J Mod Power Syst Clean Energy 4(2):188\u2013199","journal-title":"J Mod Power Syst Clean Energy"},{"issue":"4","key":"5308_CR25","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341\u2013359","journal-title":"J Glob Optim"},{"key":"5308_CR26","unstructured":"Suganthan PN, Hansen N, Liang JJ, et al. (2005) Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. Natural Computing, pp 341\u2013357"},{"key":"5308_CR27","doi-asserted-by":"crossref","unstructured":"Tan Y, Xiao ZM (2007) Clonal particle swarm optimization and its applications. In: Proceedings of IEEE congress on evolutionary computation, pp 2303\u20132309","DOI":"10.1109\/CEC.2007.4424758"},{"key":"5308_CR28","doi-asserted-by":"crossref","unstructured":"Tan Y, Zhu YC (2010) Fireworks algorithm for optimization. In: International conference on advances in swarm intelligence. Berlin Heidelberg, pp 355\u2013364","DOI":"10.1007\/978-3-642-13495-1_44"},{"issue":"5","key":"5308_CR29","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1109\/TEVC.2004.831258","volume":"8","author":"Z Tu","year":"2004","unstructured":"Tu Z, Yong L (2004) A robust stochastic genetic algorithm (StGA) for global numerical optimization. IEEE Trans Evol Comput 8(5):456\u2013470","journal-title":"IEEE Trans Evol Comput"},{"key":"5308_CR30","doi-asserted-by":"crossref","unstructured":"Tuba E, Tuba M, Beko M.(2016) Node localization in ad hoc wireless sensor networks using fireworks algorithm. In: 2016 5th international conference on multimedia computing and systems (ICMCS)","DOI":"10.1109\/ICMCS.2016.7905647"},{"issue":"2","key":"5308_CR31","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/4235.771163","volume":"3","author":"Y Xin","year":"1999","unstructured":"Xin Y, Yong L, Lin G (1999) Evolutionary programming made faster. IEEE Trans Evol Comput 3(2):82\u2013102","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"5308_CR32","doi-asserted-by":"publisher","first-page":"783","DOI":"10.1007\/s00500-016-2383-8","volume":"22","author":"X Xu","year":"2018","unstructured":"Xu X, Rong H, Trovati M et al (2018) CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems. Soft Comput 22(3):783\u2013795","journal-title":"Soft Comput"},{"key":"5308_CR33","first-page":"65","volume":"284","author":"XS Yang","year":"2010","unstructured":"Yang XS (2010) A new metaheuristic bat-inspired algorithm. Comput Knowl Technol 284:65\u201374","journal-title":"Comput Knowl Technol"},{"issue":"3","key":"5308_CR34","first-page":"1","volume":"13","author":"W Yang","year":"2018","unstructured":"Yang W, Ke L (2018) An improved fireworks algorithm for the capacitated vehicle routing problem. Front Comput Sci 13(3):1\u201313","journal-title":"Front Comput Sci"},{"issue":"1","key":"5308_CR35","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1177\/0142331215600047","volume":"39","author":"S Ye","year":"2016","unstructured":"Ye S, Ma H, Xu S, Yang W, Fei M (2016) An effective fireworks algorithm for warehouse-scheduling problem. Trans Inst Meas Control 39(1):75\u201385","journal-title":"Trans Inst Meas Control"},{"issue":"5","key":"5308_CR36","first-page":"259","volume":"28","author":"S Yilmaz","year":"2014","unstructured":"Yilmaz S, Kucuksille EU (2014) A new modification approach on bat algorithm for solving optimization problems. Appl Soft Comput 28(5):259\u2013275","journal-title":"Appl Soft Comput"},{"key":"5308_CR37","doi-asserted-by":"crossref","unstructured":"Yu C, Tan Y (2015) Fireworks algorithm with covariance mutation. In: 2015 IEEE congress on evolutionary computation, Sendai, Japan, pp 1\u20138","DOI":"10.1109\/CEC.2015.7257032"},{"key":"5308_CR38","doi-asserted-by":"crossref","unstructured":"Zhang B, Zhang MX, Zheng YJ (2014) A hybrid biogeography-based optimization and fireworks algorithm. In: 2014 IEEE congress on evolutionary computation (CEC), IEEE, pp 3200\u20133206","DOI":"10.1109\/CEC.2014.6900289"},{"key":"5308_CR39","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1007\/s00500-019-03953-0","volume":"24","author":"H Zhao","year":"2020","unstructured":"Zhao H, Zhang C, Ning J (2020) A core firework updating information guided dynamic fireworks algorithm for global optimization. Soft Comput 24:1185\u20131211","journal-title":"Soft Comput"},{"key":"5308_CR40","doi-asserted-by":"crossref","unstructured":"Zheng S, Janecek A, Ying T (2013a) Enhanced fireworks algorithm. In: IEEE congress on evolutionary computation (CEC), pp 2069\u20132077","DOI":"10.1109\/CEC.2013.6557813"},{"issue":"11","key":"5308_CR41","doi-asserted-by":"publisher","first-page":"4253","DOI":"10.1016\/j.asoc.2013.07.004","volume":"13","author":"YJ Zheng","year":"2013","unstructured":"Zheng YJ, Song Q, Chen SY (2013b) Multiobjective fireworks optimization for variable-rate fertilization in oil crop production. Appl Soft Comput 13(11):4253\u20134263","journal-title":"Appl Soft Comput"},{"key":"5308_CR42","doi-asserted-by":"crossref","unstructured":"Zheng S, Janecek A, Li J, et al. (2014) Dynamic search in fireworks algorithm. In: 2014 IEEE congress on evolutionary computation (CEC). IEEE, pp 3222\u20133229","DOI":"10.1109\/CEC.2014.6900485"},{"issue":"2015","key":"5308_CR43","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.neucom.2012.08.075","volume":"148","author":"YJ Zheng","year":"2015","unstructured":"Zheng YJ, Xu XL, Ling HF et al (2015) A hybrid fireworks optimization method with differential evolution operators. Neurocomputing 148(2015):75\u201382","journal-title":"Neurocomputing"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-020-05308-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-020-05308-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-020-05308-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T03:14:30Z","timestamp":1723605270000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-020-05308-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,18]]},"references-count":42,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,2]]}},"alternative-id":["5308"],"URL":"https:\/\/doi.org\/10.1007\/s00500-020-05308-6","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,18]]},"assertion":[{"value":"18 September 2020","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 author.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}