{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T15:18:39Z","timestamp":1725981519102},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319938141"},{"type":"electronic","value":"9783319938158"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-93815-8_38","type":"book-chapter","created":{"date-parts":[[2018,6,15]],"date-time":"2018-06-15T15:21:10Z","timestamp":1529076070000},"page":"397-409","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Galactic Gravitational Search Algorithm for Numerical Optimization"],"prefix":"10.1007","author":[{"given":"Sheng","family":"Li","sequence":"first","affiliation":[]},{"given":"Fenggang","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Junkai","family":"Ji","sequence":"additional","affiliation":[]},{"given":"Yuki","family":"Todo","sequence":"additional","affiliation":[]},{"given":"Shangce","family":"Gao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,16]]},"reference":[{"issue":"2","key":"38_CR1","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s00500-011-0744-x","volume":"16","author":"Y Cai","year":"2012","unstructured":"Cai, Y., Wang, J., Yin, J.: Learning-enhanced differential evolution for numerical optimization. Soft Comput. 16(2), 303\u2013330 (2012)","journal-title":"Soft Comput."},{"issue":"1","key":"38_CR2","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., Herrera, F.: A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol. Comput. 1(1), 3\u201318 (2011)","journal-title":"Swarm Evol. Comput."},{"key":"38_CR3","doi-asserted-by":"publisher","unstructured":"Gao, S., Song, S., Cheng, J., Todo, Y., Zhou, M.: Incorporation of solvent effect into multi-objective evolutionary algorithm for improved protein structure prediction. IEEE\/ACM Trans. Comput. Biol. Bioinf. (2017). https:\/\/doi.org\/10.1109\/TCBB.2017.2705094","DOI":"10.1109\/TCBB.2017.2705094"},{"issue":"1","key":"38_CR4","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1002\/tee.21934","volume":"9","author":"S Gao","year":"2014","unstructured":"Gao, S., Todo, Y., Gong, T., Yang, G., Tang, Z.: Graph planarization problem optimization based on triple-valued gravitational search algorithm. IEEJ Trans. Electr. Electron. Eng. 9(1), 39\u201348 (2014)","journal-title":"IEEJ Trans. Electr. Electron. Eng."},{"key":"38_CR5","first-page":"48","volume":"231","author":"S Gao","year":"2014","unstructured":"Gao, S., Vairappan, C., Wang, Y., Cao, Q., Tang, Z.: Gravitational search algorithm combined with chaos for unconstrained numerical optimization. Appl. Math. Comput. 231, 48\u201362 (2014)","journal-title":"Appl. Math. Comput."},{"key":"38_CR6","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.jocs.2017.06.007","volume":"21","author":"S Gao","year":"2017","unstructured":"Gao, S., Wang, Y., Wang, J., Cheng, J.: Understanding differential evolution: a Poisson law derived from population interaction network. J. Comput. Sci. 21, 140\u2013149 (2017)","journal-title":"J. Comput. Sci."},{"issue":"1","key":"38_CR7","first-page":"100","volume":"28","author":"JA Hartigan","year":"1979","unstructured":"Hartigan, J.A., Wong, M.A.: Algorithm as 136: a k-means clustering algorithm. J. R. Stat. Soc. Ser. C (Appl. Stat.) 28(1), 100\u2013108 (1979)","journal-title":"J. R. Stat. Soc. Ser. C (Appl. Stat.)"},{"key":"38_CR8","doi-asserted-by":"publisher","first-page":"17881","DOI":"10.1109\/ACCESS.2017.2748957","volume":"5","author":"J Ji","year":"2017","unstructured":"Ji, J., Gao, S., Wang, S., Tang, Y., Yu, H., Todo, Y.: Self-adaptive gravitational search algorithm with a modified chaotic local search. IEEE Access 5, 17881\u201317895 (2017)","journal-title":"IEEE Access"},{"issue":"7","key":"38_CR9","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1109\/TPAMI.2002.1017616","volume":"24","author":"T Kanungo","year":"2002","unstructured":"Kanungo, T., Mount, D.M., Netanyahu, N.S., Piatko, C.D., Silverman, R., Wu, A.Y.: An efficient k-means clustering algorithm: analysis and implementation. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 881\u2013892 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"38_CR10","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili, S., Lewis, A.: The Whale optimization algorithm. Adv. Eng. Softw. 95, 51\u201367 (2016)","journal-title":"Adv. Eng. Softw."},{"issue":"13","key":"38_CR11","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.: GSA: a gravitational search algorithm. Inf. Sci. 179(13), 2232\u20132248 (2009)","journal-title":"Inf. Sci."},{"issue":"4","key":"38_CR12","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1587\/transinf.2016EDP7512","volume":"100","author":"Z Song","year":"2017","unstructured":"Song, Z., Gao, S., Yu, Y., Sun, J., Todo, Y.: Multiple chaos embedded gravitational search algorithm. IEICE Trans. Inf. Syst. 100(4), 888\u2013900 (2017)","journal-title":"IEICE Trans. Inf. Syst."},{"key":"38_CR13","unstructured":"Suganthan, P.N., Hansen, N., Liang, J.J., Deb, K., Chen, Y.P., Auger, A., Tiwari, S.: Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. KanGAL report 2005005 (2005)"},{"key":"38_CR14","doi-asserted-by":"publisher","unstructured":"Wang, Y., Gao, S., Yu, Y., Xu, Z.: The discovery of population interaction with a power law distribution in brain storm optimization. Memetic Comput. (2017). https:\/\/doi.org\/10.1007\/s12293-017-0248-z","DOI":"10.1007\/s12293-017-0248-z"},{"key":"38_CR15","volume-title":"Nature-Inspired Optimization Algorithms","author":"XS Yang","year":"2014","unstructured":"Yang, X.S.: Nature-Inspired Optimization Algorithms. Elsevier, Amsterdam (2014)"},{"issue":"2","key":"38_CR16","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/4235.771163","volume":"3","author":"X Yao","year":"1999","unstructured":"Yao, X., Liu, Y., Lin, G.: Evolutionary programming made faster. IEEE Trans. Evol. Comput. 3(2), 82\u2013102 (1999)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"38_CR17","doi-asserted-by":"crossref","unstructured":"Yu, H., Xu, Z., Gao, S., Wang, Y., Todo, Y.: PMPSO: a near-optimal graph planarization algorithm using probability model based particle swarm optimization. In: IEEE International Conference on Progress in Informatics and Computing (PIC), pp. 15\u201319. IEEE (2015)","DOI":"10.1109\/PIC.2015.7489801"},{"key":"38_CR18","doi-asserted-by":"publisher","unstructured":"Yu, Y., Gao, S., Cheng, S., Wang, Y., Song, S., Yuan, F.: CBSO: a memetic brain storm optimization with chaotic local search. Memetic Comput. (2017). https:\/\/doi.org\/10.1007\/s12293-017-0247-0","DOI":"10.1007\/s12293-017-0247-0"}],"container-title":["Lecture Notes in Computer Science","Advances in Swarm Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93815-8_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,19]],"date-time":"2019-10-19T10:27:53Z","timestamp":1571480873000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-93815-8_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319938141","9783319938158"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93815-8_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}