{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T11:31:56Z","timestamp":1725881516737},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811031557"},{"type":"electronic","value":"9789811031564"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-981-10-3156-4_4","type":"book-chapter","created":{"date-parts":[[2017,3,2]],"date-time":"2017-03-02T07:13:45Z","timestamp":1488438825000},"page":"35-44","source":"Crossref","is-referenced-by-count":1,"title":["Bio-Inspired Algorithms for Mobile Location Management\u2014A New Paradigm"],"prefix":"10.1007","author":[{"given":"Swati","family":"Swayamsiddha","sequence":"first","affiliation":[]},{"given":"Smita","family":"Parija","sequence":"additional","affiliation":[]},{"given":"Sudhansu Sekhar","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Prasanna Kumar","family":"Sahu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,3]]},"reference":[{"issue":"2","key":"4_CR1","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1109\/TPDS.2003.1178878","volume":"14","author":"R Subrata","year":"2003","unstructured":"R. Subrata, A.Y. Zomaya, A comparison of three artificial life techniques for reporting cell planning in mobile computing. IEEE Trans. Parallel Distrib. Syst. 14(2), 142\u2013153 (2003)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"5","key":"4_CR2","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/65.871336","volume":"14","author":"V Wong","year":"2009","unstructured":"V. Wong, V. Leung, Location management for next generation personal communication networks. IEEE Netw. 14(5), 18\u201324 (2009)","journal-title":"IEEE Netw."},{"issue":"1","key":"4_CR3","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/0893-6080(88)90021-4","volume":"1","author":"S Grossberg","year":"1988","unstructured":"S. Grossberg, Nonlinear neural networks: principles, mechanisms, and architectures. Neural Netw. 1(1), 17\u201361 (1988)","journal-title":"Neural Netw."},{"key":"4_CR4","unstructured":"J.H. Holland, Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence (University of Michigan Press, 1975)"},{"key":"4_CR5","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"R. Storn, K. Price, Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces. J. Global Optim. 11, 341\u2013359 (1997)","journal-title":"J. Global Optim."},{"key":"4_CR6","unstructured":"L.N. De Castro, J. Timmis, Artificial Immune Systems: A New Computational Intelligence Approach (Springer, London, New York, 2002)"},{"key":"4_CR7","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1007\/BFb0040810","volume-title":"Evolutionary Programming VII","author":"Y Shi","year":"1998","unstructured":"Y. Shi, R.C. Eberhart, Parameter selection in particle swarm optimization, Evolutionary Programming VII (Springer, Berlin, 1998), pp. 591\u2013600"},{"issue":"2","key":"4_CR8","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.tcs.2005.05.020","volume":"344","author":"M Dorigo","year":"2005","unstructured":"M. Dorigo, C. Blum, Ant colony optimization theory: a survey. Theoret. Comput. Sci. 344(2), 243\u2013278 (2005)","journal-title":"Theoret. Comput. Sci."},{"key":"4_CR9","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"D. Karaboga, B. Basturk, A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Global Optim. 39, 459\u2013471 (2007)","journal-title":"J. Global Optim."},{"key":"4_CR10","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/978-3-642-01085-9_2","volume-title":"Foundations of Computational Intelligence vol. 3: 203","author":"S Das","year":"2009","unstructured":"S. Das, A. Biswas, S. Dasgupta, A. Abraham, Bacterial foraging optimization algorithm: theoretical foundations, analysis, and applications, in Foundations of Computational Intelligence vol. 3: 203, ed. by A. Abraham, et al. (Springer, Berlin, 2009), pp. 23\u201355"},{"issue":"8","key":"4_CR11","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1016\/S0898-1221(00)85018-X","volume":"40","author":"JA Snyman","year":"2000","unstructured":"J.A. Snyman, The LFOPC leap-frog algorithm for constrained optimization. Comput. Math Appl. 40(8), 1085\u20131096 (2000)","journal-title":"Comput. Math Appl."},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"X.-S. Yang, S. Deb, Cuckoo search via levy flights, in Proceedings of the World Congress on Nature and Biologically Inspired Computing, NaBIC 2009 (2009), pp. 210\u2013214)","DOI":"10.1109\/NABIC.2009.5393690"},{"key":"4_CR13","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1504\/IJBIC.2010.032124","volume":"2","author":"X-S Yang","year":"2010","unstructured":"X.-S. Yang, Firefly algorithm, stochastic test functions and design optimisation. Int. J. Bio-Inspired Comput. 2, 78\u201384 (2010)","journal-title":"Int. J. Bio-Inspired Comput."},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"S.-C. Chu, P.-W. Tsai, J.-S. Pan, Cat swarm optimization, in Trends in artificial intelligence, vol. 4099, ed. by Q. Yang, G. Webb (Springer, Berlin, 2006), pp. 854\u2013858","DOI":"10.1007\/978-3-540-36668-3_94"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"X.-S. Yang, A new metaheuristic bat-inspired algorithm, in Nature inspired cooperative strategies for optimization (NICSO 2010): 284, ed. by J. Gonz\u00e1lez et al. (Springer, Berlin, 2010), pp. 65\u201374","DOI":"10.1007\/978-3-642-12538-6_6"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"X.-S. Yang, Flower pollination algorithm for global optimization, in Unconventional computation and natural computation, ed. by J. Durand-Lose, N. Jonoska, vol. 7445 (Springer, Berlin, 2012), pp. 240\u2013249","DOI":"10.1007\/978-3-642-32894-7_27"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Z. Cui, X. Cai, Artificial plant optimization algorithm, in Swarm Intelligence and Bio-Inspired Computation: Theory and Applications (2013), (pp. 351\u2013365)","DOI":"10.1016\/B978-0-12-405163-8.00016-8"}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-3156-4_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,19]],"date-time":"2019-09-19T07:00:07Z","timestamp":1568876407000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-3156-4_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811031557","9789811031564"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-3156-4_4","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017]]}}}