{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T20:51:49Z","timestamp":1760820709379},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2015,6,16]],"date-time":"2015-06-16T00:00:00Z","timestamp":1434412800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Pamukkale University Scientific Research and Projects Unit","award":["2011BSP015"],"award-info":[{"award-number":["2011BSP015"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1007\/s00521-015-1941-9","type":"journal-article","created":{"date-parts":[[2015,6,15]],"date-time":"2015-06-15T07:51:50Z","timestamp":1434354710000},"page":"1381-1390","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A modified particle swarm optimization algorithm using Renyi entropy-based clustering"],"prefix":"10.1007","volume":"27","author":[{"given":"Emre","family":"\u00c7omak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,6,16]]},"reference":[{"key":"1941_CR1","doi-asserted-by":"crossref","first-page":"1715","DOI":"10.1016\/j.chaos.2007.09.063","volume":"40","author":"B Alatas","year":"2009","unstructured":"Alatas B, Akin E, Ozer AB (2009) Chaos embedded particle swarm optimization algorithms. Chaos, Solitons Fractals 40:1715\u20131734","journal-title":"Chaos, Solitons Fractals"},{"key":"1941_CR2","unstructured":"De Jong K (1975) An analysis of the behaviour of a class of genetic adaptive systems. PhD thesis, University of Michigan"},{"issue":"2","key":"1941_CR3","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/34.982897","volume":"24","author":"E Gokcay","year":"2002","unstructured":"Gokcay E, Principe I (2002) Information theoretic clustering. IEEE Trans Pattern Anal Mach Intell 24(2):158\u2013170","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1941_CR4","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/BF00933356","volume":"34","author":"AO Griewangk","year":"1981","unstructured":"Griewangk AO (1981) Generalized descent of global optimization. J Optim Theory Appl 34:11\u201339","journal-title":"J Optim Theory Appl"},{"key":"1941_CR5","doi-asserted-by":"crossref","unstructured":"Hassan R, Cohanim B, de Weck O, Venter G (2005) A comparison of particle swarm optimization and the genetic algorithm. In: 1st AIAA multidisciplinary design optimization specialist conference, No. AIAA-2005-1897, Austin, TX","DOI":"10.2514\/6.2005-1897"},{"key":"1941_CR6","doi-asserted-by":"crossref","unstructured":"Jenssen R, Hild KE, Erdogmus D, Principe JC, Eltoft T (2003) Clustering using Renyi\u2019s entropy. In: Proceeding of international joint conference on neural networks, Portland, USA, July 20\u201324, pp 523\u2013528","DOI":"10.1109\/IJCNN.2003.1223401"},{"issue":"3","key":"1941_CR7","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1016\/j.chaos.2006.09.063","volume":"37","author":"B Jiao","year":"2008","unstructured":"Jiao B, Lian Z, Gu X (2008) A dynamic inertia weight particle swarm optimization algorithm. Chaos, Solitons Fractals 37(3):698\u2013705","journal-title":"Chaos, Solitons Fractals"},{"issue":"5","key":"1941_CR8","doi-asserted-by":"crossref","first-page":"2688","DOI":"10.1016\/j.chaos.2009.03.175","volume":"42","author":"B Jiao","year":"2009","unstructured":"Jiao B, Lian Z, Chen Q (2009) A dynamic global and local combined particle swarm optimization algorithm. Chaos, Solitons Fractals 42(5):2688\u20132695","journal-title":"Chaos, Solitons Fractals"},{"key":"1941_CR9","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of the IEEE conference on neural networks, Perth, Australia, pp 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"1941_CR10","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1214\/aoms\/1177704472","volume":"32","author":"E Parzen","year":"1962","unstructured":"Parzen E (1962) On the estimation of a probability density function and the mode. Ann Math Stat 32:1065\u20131076","journal-title":"Ann Math Stat"},{"key":"1941_CR11","unstructured":"Principe J, Xu D, Fisher J (2000) Unsupervised adaptive filtering. In: Haykin S (ed) Information theoretic learning, vol 1, chapter 7. Wiley"},{"key":"1941_CR12","unstructured":"Rastrigin LA (1974) External control systems. In: Theoretical foundations of engineering cybernetics series. Nauka, Moscow, Russia"},{"key":"1941_CR13","unstructured":"Renyi A (1960) On Measures of entropy and information. In: Fourth Berkeley symposium on mathematical statistics and probability, pp 547\u2013561"},{"key":"1941_CR14","unstructured":"Shi Y, Eberhart RC (2001) Fuzzy adaptive particle swarm optimization. In: Proceedings of the 2001 congress on evolutionary computation, vol 1, pp 101\u2013106"},{"key":"1941_CR15","doi-asserted-by":"crossref","first-page":"4460","DOI":"10.1016\/j.ins.2010.05.025","volume":"181","author":"Y Shi","year":"2011","unstructured":"Shi Y, Liu H, Gao L, Zhang G (2011) Cellular particle swarm optimization. Inf Sci 181:4460\u20134493","journal-title":"Inf Sci"},{"key":"1941_CR16","unstructured":"Van den Bergh F (2001) An analysis of particle swarm optimizers. Doctoral Thesis, University of Pretoria"},{"issue":"189","key":"1941_CR17","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1016\/j.amc.2006.12.045","volume":"2007","author":"X Yang","year":"2007","unstructured":"Yang X, Yuan J, Ji Yuan, Mao H (2007) A modified particle swarm optimizer with dynamic adaptation. Appl Math Comput 2007(189):1205\u20131213","journal-title":"Appl Math Comput"},{"key":"1941_CR18","unstructured":"Zheng YL, Ma LH, Zhang LY, Qian JX (2003a) On the convergence analysis and parameter selection in particle swarm optimization. In: Proceedings of the IEEE international conference on machine learning and cybernetics. IEEE Press, Piscataway, pp 1802\u20131807"},{"key":"1941_CR19","unstructured":"Zheng YL, Ma LH, Zhang LY, Qian JX (2003b) Empirical study of particle swarm optimizer with an increasing inertia weight. In: Proceedings of the 2003 IEEE congress on evolutionary computation. IEEE Press, Piscataway, pp 221\u2013226"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-015-1941-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-015-1941-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-015-1941-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T02:21:21Z","timestamp":1559096481000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-015-1941-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,16]]},"references-count":19,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2016,7]]}},"alternative-id":["1941"],"URL":"https:\/\/doi.org\/10.1007\/s00521-015-1941-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6,16]]}}}