{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T17:46:54Z","timestamp":1743875214623},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642119590"},{"type":"electronic","value":"9783642119606"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-11960-6_40","type":"book-chapter","created":{"date-parts":[[2010,3,26]],"date-time":"2010-03-26T07:10:44Z","timestamp":1269587444000},"page":"431-442","source":"Crossref","is-referenced-by-count":20,"title":["Comparison of Various Evolutionary and Memetic Algorithms"],"prefix":"10.1007","author":[{"given":"Kriszti\u00e1n","family":"Bal\u00e1zs","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00e1nos","family":"Botzheim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L\u00e1szl\u00f3 T.","family":"K\u00f3czy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"40_CR1","unstructured":"Bal\u00e1zs, K., K\u00f3czy, L.T., Botzheim, J.: Comparison of fuzzy rule-based learning and inference systems. In: Proceedings of the 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2008, Budapest, Hungary, pp. 61\u201375 (2008)"},{"key":"40_CR2","unstructured":"Bal\u00e1zs, K.: Comparative analysis of fuzzy rule based learning and inference systems, Master\u2019s Thesis, Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary, p. 97 (2009)"},{"issue":"12","key":"40_CR3","first-page":"1585","volume":"121","author":"E.H. Mamdani","year":"1974","unstructured":"Mamdani, E.H.: Application of fuzzy algorithms for control of simple dynamic plant. IEEE Proc.\u00a0121(12), 1585\u20131588 (1974)","journal-title":"IEEE Proc."},{"key":"40_CR4","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/0888-613X(93)90010-B","volume":"9","author":"L.T. K\u00f3czy","year":"1993","unstructured":"K\u00f3czy, L.T., Hirota, K.: Approximate reasoning by linear rule interpolation and general approximation. Internat. J. Approx. Reason.\u00a09, 197\u2013225 (1993)","journal-title":"Internat. J. Approx. Reason."},{"key":"40_CR5","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/S0165-0114(00)00104-4","volume":"125","author":"D. Tikk","year":"2002","unstructured":"Tikk, D., Jo\u00f3, I., K\u00f3czy, L.T., V\u00e1rlaki, P., Moser, B., Gedeon, T.D.: Stability of interpolative fuzzy KH-controllers. Fuzzy Sets and Systems\u00a0125, 105\u2013119 (2002)","journal-title":"Fuzzy Sets and Systems"},{"key":"40_CR6","volume-title":"Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms","author":"J.A. Snyman","year":"2005","unstructured":"Snyman, J.A.: Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Springer, New York (2005)"},{"issue":"2","key":"40_CR7","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1090\/qam\/10666","volume":"2","author":"K. Levenberg","year":"1944","unstructured":"Levenberg, K.: A method for the solution of certain non-linear problems in least squares. Quart. Appl. Math.\u00a02(2), 164\u2013168 (1944)","journal-title":"Quart. Appl. Math."},{"issue":"2","key":"40_CR8","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1137\/0111030","volume":"11","author":"D. Marquardt","year":"1963","unstructured":"Marquardt, D.: An algorithm for least-squares estimation of nonlinear parameters. J. Soc. Indust. Appl. Math.,\u00a011(2), 431\u2013441 (1963)","journal-title":"J. Soc. Indust. Appl. Math.,"},{"key":"40_CR9","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/1090.001.0001","volume-title":"Adaption in Natural and Artificial Systems","author":"J.H. Holland","year":"1992","unstructured":"Holland, J.H.: Adaption in Natural and Artificial Systems. The MIT Press, Cambridge (1992)"},{"issue":"5","key":"40_CR10","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1109\/91.797983","volume":"7","author":"N.E. Nawa","year":"1999","unstructured":"Nawa, N.E., Furuhashi, T.: Fuzzy system parameters discovery by bacterial evolutionary algorithm. IEEE Transactions on Fuzzy Systems\u00a07(5), 608\u2013616 (1999)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"40_CR11","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks ICNN 1995, Perth, WA, Australia, vol.\u00a04, pp. 1942\u20131948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"40_CR12","unstructured":"Moscato, P.: On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms, Technical Report Caltech Concurrent Computation Program, Report. 826, California Institute of Technology, Pasadena, USA (1989)"},{"key":"40_CR13","unstructured":"Botzheim, J., Cabrita, C., K\u00f3czy, L.T., Ruano, A.E.: Fuzzy rule extraction by bacterial memetic algorithms. In: Proceedings of the 11th World Congress of International Fuzzy Systems Association, IFSA 2005, Beijing, China, pp. 1563\u20131568 (2005)"},{"key":"40_CR14","first-page":"445","volume-title":"Introduction to Machine Learning","author":"E. Alpaydin","year":"2004","unstructured":"Alpaydin, E.: Introduction to Machine Learning, p. 445. The MIT Press, Cambridge (2004)"},{"key":"40_CR15","unstructured":"Driankov, D., Hellendoorn, H., Reinfrank, M.: An Introduction to Fuzzy Control, p. 316. Springer, New York"},{"key":"40_CR16","unstructured":"Ackley, D.: An empirical study of bit vector function optimizacion. Genetic Algorithms and Simulated Annealing, 170\u2013215 (1987)"},{"key":"40_CR17","first-page":"14","volume-title":"Proceedings of the 1st Conf. on Adaptive Computing in Engineering Design and Control","author":"A. Keane","year":"1994","unstructured":"Keane, A.: Experiences with optimizers in structural design. In: Parmee, I.C. (ed.) Proceedings of the 1st Conf. on Adaptive Computing in Engineering Design and Control, pp. 14\u201327. University of Plymouth, UK (1994)"},{"key":"40_CR18","unstructured":"Rastrigin, L.A.: Extremal control systems, Moscow, Russian. Theoretical Foundations of Engineering Cybernetics Series (1974)"},{"key":"40_CR19","doi-asserted-by":"crossref","unstructured":"Rosenbrock, H.H.: An automatic method for finding the greatest or least value of a function. Computer Journal\u00a0(3), 175\u2013184 (1960)","DOI":"10.1093\/comjnl\/3.3.175"},{"key":"40_CR20","volume-title":"Numerical optimization of computer models","author":"H.P. Schwefel","year":"1981","unstructured":"Schwefel, H.P.: Numerical optimization of computer models. John Wiley & Sons, Chichester (1981)"}],"container-title":["Advances in Intelligent and Soft Computing","Integrated Uncertainty Management and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-11960-6_40.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T02:45:53Z","timestamp":1606185953000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-11960-6_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642119590","9783642119606"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-11960-6_40","relation":{},"ISSN":["1867-5662","1867-5670"],"issn-type":[{"type":"print","value":"1867-5662"},{"type":"electronic","value":"1867-5670"}],"subject":[],"published":{"date-parts":[[2010]]}}}