{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T05:54:44Z","timestamp":1725861284824},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319422909"},{"type":"electronic","value":"9783319422916"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-42291-6_68","type":"book-chapter","created":{"date-parts":[[2016,7,11]],"date-time":"2016-07-11T15:10:22Z","timestamp":1468249822000},"page":"679-690","source":"Crossref","is-referenced-by-count":0,"title":["An Fruit Fly Optimization Algorithm with Dimension by Dimension Improvement"],"prefix":"10.1007","author":[{"given":"Haiyun","family":"Li","sequence":"first","affiliation":[]},{"given":"Haifeng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Kaibin","family":"Wei","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,7,12]]},"reference":[{"key":"68_CR1","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.knosys.2011.07.001","volume":"26","author":"WT Pan","year":"2012","unstructured":"Pan, W.T.: A new fruit fly optimization algorithm: taking the financial distress model as an example. Knowl.-Based Syst. 26, 69\u201374 (2012)","journal-title":"Knowl.-Based Syst."},{"key":"68_CR2","unstructured":"Pan, W.T.: Fruit fly optimization algorithm. Tsang Hai Book Publishing Co., Taipei, pp. 10\u201312 (2011)"},{"key":"68_CR3","first-page":"157","volume":"4","author":"JY Han","year":"2014","unstructured":"Han, J.Y., Liu, C.Z.: Fruit fly optimization algorithm with opposition learning policy. Comput Appl. Softw. 4, 157\u2013160 (2014)","journal-title":"Comput Appl. Softw."},{"issue":"5","key":"68_CR4","first-page":"218","volume":"39","author":"H Cheng","year":"2013","unstructured":"Cheng, H., Liu, C.Z.: Mixed fruit fly optimization algorithm based on chaotic mapping. Comput. Eng. 39(5), 218-221 (2013)","journal-title":"Comput. Eng."},{"issue":"3","key":"68_CR5","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1504\/IJICA.2012.050051","volume":"4","author":"YW Zhong","year":"2012","unstructured":"Zhong, Y.W., Liu, X., Wang, L.J.: Particle swarm optimisation algorithm with iterative improvement strategy for multi-dimensional function optimisation problems. Int. J. Innov. Comput. Appl. 4(3), 223\u2013232 (2012)","journal-title":"Int. J. Innov. Comput. Appl."},{"issue":"4","key":"68_CR6","first-page":"666","volume":"32","author":"R Wang","year":"2014","unstructured":"Wang, R., Zhou, Y.Q.: Flower pollination algorithm with dimension by dimension improvement. Math. Probl. Eng. 32(4), 666\u2013674 (2014)","journal-title":"Math. Probl. Eng."},{"issue":"11","key":"68_CR7","doi-asserted-by":"crossref","first-page":"2687","DOI":"10.3724\/SP.J.1001.2013.04476","volume":"24","author":"LJ Wang","year":"2013","unstructured":"Wang, L.J., Yin, Y.L., Zhong, Y.W.: A cuckoo search algorithm with dimension by dimension improvement. J. Softw. 24(11), 2687\u20132698 (2013)","journal-title":"J. Softw."},{"key":"68_CR8","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1038\/381413a0","volume":"381","author":"GM Viswanathan","year":"1996","unstructured":"Viswanathan, G.M., et al.: L\u00e9vy flights search patterns of wandering albatrosses. Nature 381, 13\u201315 (1996)","journal-title":"Nature"},{"key":"68_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0378-4371(00)00071-6","volume":"282","author":"GM Viswanathan","year":"2000","unstructured":"Viswanathan, G.M., et al.: L\u00e9vy flights in random searchs. Phys. A 282, 1\u201312 (2000)","journal-title":"Phys. A"},{"key":"68_CR10","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/S0378-4371(01)00057-7","volume":"295","author":"GM Viswanathan","year":"2001","unstructured":"Viswanathan, G.M., et al.: L\u00e9vy flights search patterns of biological organisms. Phys. A 295, 85\u201388 (2001)","journal-title":"Phys. A"},{"issue":"8","key":"68_CR11","doi-asserted-by":"crossref","first-page":"602","DOI":"10.1038\/nphys1286","volume":"5","author":"N Mercadier","year":"2009","unstructured":"Mercadier, N., Guerin, W., Chevrollier, M., et al.: L\u00e9vy flights of photons in hot atomic vapours. Nat. Phys. 5(8), 602\u2013605 (2009)","journal-title":"Nat. Phys."},{"key":"68_CR12","doi-asserted-by":"crossref","unstructured":"Kennedy, J.: Particle swarm optimization. In: Encyclopedia of Machine Learning, pp. 760\u2013766. Springer US (2011)","DOI":"10.1007\/978-0-387-30164-8_630"},{"key":"68_CR13","doi-asserted-by":"crossref","unstructured":"Yang, X.S., Deb, S.: Cuckoo search via L\u00e9vy flights. World Congress on Nature & Biologically Inspired Computing, 2009, NaBIC 2009, pp. 210\u2013214. IEEE (2009)","DOI":"10.1109\/NABIC.2009.5393690"},{"issue":"5","key":"68_CR14","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1109\/TEVC.2009.2011992","volume":"13","author":"S He","year":"2009","unstructured":"He, S., Wu, Q.H., Saunders, J.R.: Group search optimizer: an optimization algorithm inspired by animal searching behavior. IEEE Trans. Evol. Comput. 13(5), 973\u2013990 (2009)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"13","key":"68_CR15","doi-asserted-by":"crossref","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":"3","key":"68_CR16","doi-asserted-by":"crossref","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. Global Optim. 39(3), 459\u2013471 (2007)","journal-title":"J. Global Optim."},{"issue":"7\u20138","key":"68_CR17","doi-asserted-by":"crossref","first-page":"1867","DOI":"10.1007\/s00521-013-1433-8","volume":"24","author":"X Li","year":"2014","unstructured":"Li, X., Zhang, J., Yin, M.: Animal migration optimization: an optimization algorithm inspired by animal migration behavior. Neural Comput. Appl. 24(7\u20138), 1867\u20131877 (2014)","journal-title":"Neural Comput. Appl."}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-42291-6_68","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,2]],"date-time":"2022-07-02T23:22:40Z","timestamp":1656804160000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-42291-6_68"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319422909","9783319422916"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-42291-6_68","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}