{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:55:24Z","timestamp":1760709324170,"version":"3.37.3"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T00:00:00Z","timestamp":1494892800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation Program of China","doi-asserted-by":"crossref","award":["61572116","61572117"],"award-info":[{"award-number":["61572116","61572117"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Special Fund for Fundamental Research of Central Universities of Northeastern University","award":["N150408001","N150404009"],"award-info":[{"award-number":["N150408001","N150404009"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2019,1]]},"DOI":"10.1007\/s00521-017-2981-0","type":"journal-article","created":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T02:54:02Z","timestamp":1494903242000},"page":"79-99","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A best firework updating information guided adaptive fireworks algorithm"],"prefix":"10.1007","volume":"31","author":[{"given":"Haitong","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changsheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxu","family":"Ning","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,16]]},"reference":[{"key":"2981_CR1","doi-asserted-by":"crossref","unstructured":"Beni G, Wang J. Swarm Intelligence in Cellular Robotic Systems[M]\/\/ Robots and Biological Systems: Towards a New Bionics. 1993:703\u2013712.","DOI":"10.1007\/978-3-642-58069-7_38"},{"key":"2981_CR2","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization[C]\/\/ IEEE International Conference on Neural Networks, 1995. Proceedings. IEEE, 4:1942\u20131948"},{"issue":"1","key":"2981_CR3","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/4235.585892","volume":"1","author":"M Dorigo","year":"1997","unstructured":"Dorigo M, Gambardella LM (1997) Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans Evol Comput 1(1):53\u201366","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"2981_CR4","doi-asserted-by":"publisher","first-page":"24","DOI":"10.4249\/scholarpedia.6915","volume":"5","author":"D Karaboga","year":"2010","unstructured":"Karaboga D (2010) Artificial bee colony algorithm. Scholarpedia 5(3):24\u201332","journal-title":"Scholarpedia"},{"key":"2981_CR5","unstructured":"Tan Y, Zhu Y (2010) Fireworks algorithm for optimization[C]\/\/ International conference on advances in swarm intelligence. Springer-Verlag:355\u2013364"},{"key":"2981_CR6","unstructured":"Li J, Zheng S, Tan Y (2016) The effect of information utilization: 1105 introducing a novel guiding spark in the fireworks algorithm. IEEE 1106 Trans Evol Comput:1\u20131"},{"key":"2981_CR7","doi-asserted-by":"crossref","unstructured":"Zheng S, Janecek A, Tan Y. Enhanced Fireworks Algorithm[C]\/\/ Evolutionary Computation. 2013:2069\u20132077.","DOI":"10.1109\/CEC.2013.6557813"},{"key":"2981_CR8","unstructured":"Zhang B, Zhang MX, Zheng YJ (2014) A hybrid biogeography- 1108 based optimization and fireworks algorithm[C]\/\/ evolutionary com- 1109 putation. IEEE:3200\u20133206"},{"key":"2981_CR9","volume-title":"Improve enhanced fireworks algorithm with differential mutation[C]\/\/ IEEE International Conference on Systems","author":"C Yu","year":"2014","unstructured":"Yu C, Li J, Tan Y (2014) Improve enhanced fireworks algorithm with differential mutation[C]\/\/ IEEE International Conference on Systems. Man and Cybernetics, IEEE"},{"issue":"4","key":"2981_CR10","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. International Journal of Modelling Identification & Control 14(4):324\u2013331","journal-title":"International Journal of Modelling Identification & Control"},{"issue":"148","key":"2981_CR11","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(148):75\u201382","journal-title":"Neurocomputing"},{"key":"2981_CR12","volume-title":"Fireworks algorithm with covariance mutation[C]\/\/ evolutionary computation","author":"C Yu","year":"2015","unstructured":"Yu C, Tan Y. Fireworks algorithm with covariance mutation[C]\/\/ evolutionary computation. IEEE, 2015."},{"key":"2981_CR13","first-page":"1106","volume":"2015","author":"C Yu","year":"2015","unstructured":"Yu C, Kelley LC, Tan Y, Dynamic search fireworks algorithm with covariance mutation for solving the CEC (2015) Learning based competition problems[C]\/\/2015 I.E. congress on evolutionary computation (CEC). IEEE 2015:1106\u20131112","journal-title":"IEEE"},{"key":"2981_CR14","doi-asserted-by":"crossref","unstructured":"Li J, Tan Y. Orienting mutation based fireworks algorithm[C]\/\/ Evolutionary Computation. IEEE, 2015.","DOI":"10.1109\/CEC.2015.7257034"},{"key":"2981_CR15","unstructured":"Zheng S, Li J, Janecek A et al (2015) A cooperative framework for 1072 fireworks algorithm[J]. IEEE\/ACMTransactions on Computational 1073 Biology & Bioinformatics:1\u20131"},{"key":"2981_CR16","doi-asserted-by":"crossref","unstructured":"Zhang B, Zheng Y-J et al (2015) Fireworks algorithm with enhanced fireworks interaction. IEEE\/ACM Transactions on Computational Biology & Bioinformatics:1\u20131","DOI":"10.1109\/TCBB.2015.2465951"},{"key":"2981_CR17","unstructured":"Zheng S, Janecek A, Li J et al (2014) Dynamic search in fireworks algorithm[C]\/\/ evolutionary computation. IEEE:3222\u20133229"},{"key":"2981_CR18","unstructured":"Li J, Zheng S, Tan Y (2014) Adaptive fireworks algorithm[C]\/\/ evolutionary computation. IEEE:3214\u20133221"},{"key":"2981_CR19","unstructured":"Si T, Ghosh R (2015) Explosion sparks generation using adaptive transfer function in firework algorithm[C]\/\/ IEEE third International conference on signal processing. Communications and NETWORKING:305\u2013314"},{"key":"2981_CR20","unstructured":"Chen J, Yang Q, Ni J et al (2015) An improved fireworks algorithm with landscape information for balancing exploration and exploitation[C]\/\/2015 I.E. congress on evolutionary computation (CEC). IEEE:1272\u20131279"},{"key":"2981_CR21","volume-title":"Exponentially decreased dimension number strategy based dynamic search fireworks algorithm for solving CEC2015 competition problems[C]\/\/ evolutionary computation","author":"S Zheng","year":"2015","unstructured":"Zheng S, Yu C, Li J, et al. Exponentially decreased dimension number strategy based dynamic search fireworks algorithm for solving CEC2015 competition problems[C]\/\/ evolutionary computation. IEEE, 2015."},{"key":"2981_CR22","doi-asserted-by":"crossref","unstructured":"Ding K, Zheng S, Tan Y. A gpu-based parallel fireworks algorithm for optimization[C]\/\/Proceedings of the 15th annual conference on Genetic and evolutionary computation. ACM, 2013: 9\u201316.","DOI":"10.1145\/2463372.2463377"},{"key":"2981_CR23","unstructured":"Liang J J, Qu B Y, Suganthan P N, et al. Problem definitions and 1099 evaluation criteria for the CEC 2015 competition on learning-based 1100 real-parameter single objective optimization[J]. Technical 1101 Report201411A, Computational Intelligence Laboratory, 1102 Zhengzhou University, Zhengzhou China and Technical Report, 1103 Nanyang Technological University, Singapore, 2014."},{"key":"2981_CR24","unstructured":"Nowak K, M\u00e4rtens M, Izzo D (2014) Empirical performance of the approximation of the least hypervolume contributor[M]\/\/parallel problem solving from nature\u2013PPSN XIII. Springer International Publishing:662\u2013671"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-017-2981-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-2981-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-2981-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T13:59:26Z","timestamp":1569333566000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-017-2981-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,16]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["2981"],"URL":"https:\/\/doi.org\/10.1007\/s00521-017-2981-0","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2017,5,16]]},"assertion":[{"value":"5 November 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 March 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 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 our work, there is no professional or other personal interest of any nature or kind in any product, service and\/or comspany that could be construed as influencing the position presented in, or the review of, the manuscript entitled, \u201cA Best Firework Updating Information Guided Adaptive Fireworks Algorithm\u201d.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}