{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T22:34:31Z","timestamp":1723242871286},"reference-count":18,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Commun."],"published-print":{"date-parts":[[2016]]},"DOI":"10.1587\/transcom.2016nei0002","type":"journal-article","created":{"date-parts":[[2016,10,31]],"date-time":"2016-10-31T22:09:33Z","timestamp":1477951773000},"page":"2256-2262","source":"Crossref","is-referenced-by-count":2,"title":["Improving Performance of Heuristic Algorithms by Lebesgue Spectrum Filter"],"prefix":"10.23919","volume":"E99.B","author":[{"given":"Mikio","family":"HASEGAWA","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Tokyo University of Science"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] T. Kohda and H. Fujisaki, \u201cPursley&apos;s aperiodic cross-correlation functions revisited,\u201d IEEE Trans. Circuits Syst. I, vol.50, no.6, pp.800-805, 2003.","DOI":"10.1109\/TCSI.2003.812605"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] G. Mazzini, R. Rovatti, and G. Setti, \u201cInterference minimisation by auto-correlation shaping in asynchronous DS-CDMA systems: Chaos-based spreading is nearly optimal,\u201d Electron. Lett., vol.35, no.13, pp.1054-1055, 1999.","DOI":"10.1049\/el:19990754"},{"key":"3","unstructured":"[3] K. Umeno and A. Yamaguchi, \u201cConstruction of optimal chaotic spreading sequence Using Lebesgue Spectrum Filter,\u201d IEICE Trans. Fundamentals, vol.E85-A, no.4, pp.849-852, April 2002."},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] H. Nozawa, \u201cA neural network model as a globally coupled map and applications based on chaos,\u201d Chaos, vol.2, no.3, pp.377-386, 1992.","DOI":"10.1063\/1.165880"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] T. Yamada and K. Aihara, \u201cNonlinear neurodynamics and combinatorial optimization in chaotic neural networks,\u201d J. Intelligent and Fuzzy Systems, vol.5, pp.53-68, 1997.","DOI":"10.3233\/IFS-1997-5105"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] L. Chen and K. Aihara, \u201cChaotic simulated annealing by a neural network model with transient chaos,\u201d Neural Networks, vol.8, no.6, pp.915-930, 1995.","DOI":"10.1016\/0893-6080(95)00033-V"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] M. Hasegawa, T. Ikeguchi, and K. Aihara, \u201cCombination of chaotic neurodynamics with the 2-opt algorithm to solve traveling salesman problems,\u201d Phys. Rev. Lett., vol.79, no.12, pp.2344-2347, 1997.","DOI":"10.1103\/PhysRevLett.79.2344"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] M. Hasegawa, T. Ikeguchi, K. Aihara, and K. Itoh, \u201cA novel chaotic search for quadratic assignment problems,\u201d Eur. J. Oper. Res., vol.139, no.3, pp.543-556, 2002.","DOI":"10.1016\/S0377-2217(01)00189-8"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] M. Hasegawa, T. Ikeguchi, and K. Aihara, \u201cSolving large scale traveling salesman problems by chaotic neurodynamics,\u201d Neural Networks, vol.15, no.2, pp.271-283, 2002.","DOI":"10.1016\/S0893-6080(02)00017-5"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] M. Hasegawa, T. Ikeguchi, T. Matozaki, and K. Aihara, \u201cSolving combinatorial optimization problems by nonlinear neural dynamics,\u201d Proc. International Conference on Neural Networks (ICNN&apos;95), pp.3140-3145, 1995.","DOI":"10.1109\/ICNN.1995.487286"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] Y. Hayakawa, A. Marumoto, and Y. Sawada, \u201cEffects of the chaotic noise on the performance of a neural network model for optimization problems,\u201d Phys. Rev. E, vol.51, no.4, pp.R2693-R2696, 1995.","DOI":"10.1103\/PhysRevE.51.R2693"},{"key":"12","unstructured":"[12] M. Hasegawa, T. Ikeguchi, T. Matozaki, and K. Aihara, \u201cAn analysis on additive effects of nonlinear dynamics for combinatorial optimization,\u201d IEICE Trans. Fundamentals, vol.E80-A, no.1, pp.206-212, Jan. 1997."},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] Y. Horio and K. Aihara, \u201cAnalog computation through high-dimensional physical chaotic neuro-dynamics,\u201d Physica D: Nonlinear Phenomena, vol.237, no.9, pp.1215-1225, 2008.","DOI":"10.1016\/j.physd.2008.01.030"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] J.J. Hopfield and D.W. Tank, \u201cNeural computation of decision in optimization Problems,\u201d Biological Cybernetics, vol.52, pp.141-152, 1985.","DOI":"10.1007\/BF00339943"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] K. Aihara, T. Takabe, and M. Toyoda, \u201cChaotic neural networks,\u201d Phys. Lett. A, vol.144, no.6-7, pp.333-340, 1990.","DOI":"10.1016\/0375-9601(90)90136-C"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] K. Aihara, \u201cChaotic neural networks,\u201d Bifurcation Phenomena in Nonlinear Systems and Theory of Dynamical Systems, H. Kawakami, ed., pp.143-161, World Scientific, 1990.","DOI":"10.1016\/0375-9601(90)90136-C"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] R. Burkard, S. Karish, and F. Rendl, \u201cQAPLIB-A quadratic assignment problem library,\u201d J. Global Optimization, vol.10, 391-403, 1997; http:\/\/www.seas.upenn.edu\/qaplib","DOI":"10.1023\/A:1008293323270"},{"key":"18","unstructured":"[18] G. Reinelt, TSPLIB, http:\/\/comopt.ifi.uni-heidelberg.de\/software\/TSPLIB95\/"}],"container-title":["IEICE Transactions on Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E99.B\/11\/E99.B_2016NEI0002\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T15:00:31Z","timestamp":1704898831000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E99.B\/11\/E99.B_2016NEI0002\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":18,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2016]]}},"URL":"https:\/\/doi.org\/10.1587\/transcom.2016nei0002","relation":{},"ISSN":["0916-8516","1745-1345"],"issn-type":[{"value":"0916-8516","type":"print"},{"value":"1745-1345","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}