{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T00:52:23Z","timestamp":1725583943242},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642214974"},{"type":"electronic","value":"9783642214981"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-21498-1_36","type":"book-chapter","created":{"date-parts":[[2011,5,30]],"date-time":"2011-05-30T05:47:41Z","timestamp":1306734461000},"page":"284-291","source":"Crossref","is-referenced-by-count":0,"title":["Towards User-Centric Memetic Algorithms: Experiences with the TSP"],"prefix":"10.1007","author":[{"given":"Ana Reyes","family":"Badillo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos","family":"Cotta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio J.","family":"Fern\u00e1ndez-Leiva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"36_CR1","first-page":"190","volume-title":"4th International Conference on Genetic Algorithms","author":"W.E. Hart","year":"1991","unstructured":"Hart, W.E., Belew, R.K.: Optimizing an arbitrary function is hard for the genetic algorithm. In: Belew, R.K., Booker, L.B. (eds.) 4th International Conference on Genetic Algorithms, pp. 190\u2013195. Morgan Kaufmann, San Francisco (1991)"},{"issue":"1","key":"36_CR2","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"D.H. Wolpert","year":"1997","unstructured":"Wolpert, D.H., Macready, W.G.: No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation\u00a01(1), 67\u201382 (1997)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"3","key":"36_CR3","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1109\/TEVC.2005.857695","volume":"10","author":"P. Bonissone","year":"2006","unstructured":"Bonissone, P., Subbu, R., Eklund, N., Kiehl, T.: Evolutionary algorithms + domain knowledge = real-world evolutionary computation. IEEE Transactions on Evolutionary Computation\u00a010(3), 256\u2013280 (2006)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"36_CR4","volume-title":"Handbook of Genetic Algorithms","author":"L.D. Davis","year":"1991","unstructured":"Davis, L.D.: Handbook of Genetic Algorithms. Van Nostrand Reinhold Computer Library, New York (1991)"},{"key":"36_CR5","unstructured":"Herdy, M.: Evolutionary optimisation based on subjective selection \u2013 evolving blends of coffee. In: 5th European Congress on Intelligent Techniques and Soft Computing, pp. 640\u2013644 (1997)"},{"key":"36_CR6","first-page":"228","volume-title":"Evolutionary Computation 1: basic algorithms and operators","author":"W. Banzhaf","year":"2000","unstructured":"Banzhaf, W.: Interactive evolution. In: Back, T., Fogel, D., Michalewicz, Z. (eds.) Evolutionary Computation 1: basic algorithms and operators, pp. 228\u2013234. IoP, Bristol (2000)"},{"key":"36_CR7","doi-asserted-by":"crossref","unstructured":"Takagi, H.: Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation. Proceedings of the IEEE (9), 1275\u20131296 (2001)","DOI":"10.1109\/5.949485"},{"key":"36_CR8","series-title":"Natural Computing Series","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/978-3-540-72964-8_13","volume-title":"Multiobjective Problem Solving from Nature","author":"I.C. Parmee","year":"2008","unstructured":"Parmee, I.C., Abraham, J.A.R., Machwe, A.: User-centric evolutionary computing: Melding human and machine capability to satisfy multiple criteria. In: Knowles, J., Corne, D., Deb, K., Chair, D.R. (eds.) Multiobjective Problem Solving from Nature. Natural Computing Series, pp. 263\u2013283. Springer, Berlin Heidelberg (2008)"},{"key":"36_CR9","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, California, USA (1989)"},{"key":"36_CR10","series-title":"STUDFUZZ","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-32363-5","volume-title":"Recent Advances in Memetic Algorithms","author":"W. Hart","year":"2005","unstructured":"Hart, W., Krasnogor, N., Smith, J.E.: Recent Advances in Memetic Algorithms. STUDFUZZ, vol.\u00a0166. Springer, Heidelberg (2005)"},{"key":"36_CR11","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1007\/0-306-48056-5_5","volume-title":"Handbook of Metaheuristics","author":"P. Moscato","year":"2003","unstructured":"Moscato, P., Cotta, C.: A gentle introduction to memetic algorithms. In: Glover, F., Kochenberger, G. (eds.) Handbook of Metaheuristics, pp. 105\u2013144. Kluwer Academic Publishers, Boston (2003)"},{"key":"36_CR12","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1007\/s10898-007-9239-9","volume":"42","author":"J. Dias","year":"2008","unstructured":"Dias, J., Captivo, M., Cl\u00edmaco, J.: A memetic algorithm for multi-objective dynamic location problems. Journal of Global Optimization\u00a042, 221\u2013253 (2008)","journal-title":"Journal of Global Optimization"},{"key":"36_CR13","unstructured":"Jaszkiewicz, A.: Interactive multiple objective optimization with the pareto memetic algorithm. In: Gottlieb, J., et al. (eds.) 4th EU\/ME Workshop: Design and Evaluation of Advanced Hybrid Meta-heuristics, Nottingham, UK (2004)"},{"key":"36_CR14","series-title":"International Series in Operations Research and Management Science","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-1-4419-1665-5_6","volume-title":"Handbook of Metaheuristics","author":"P. Moscato","year":"2010","unstructured":"Moscato, P., Cotta, C.: A modern introduction to memetic algorithms. In: Gendreau, M., Potvin, J.-Y. (eds.) Handbook of Metaheuristics, 2nd edn. International Series in Operations Research and Management Science, vol.\u00a0146, pp. 141\u2013183. Springer, Heidelberg (2010)","edition":"2"},{"key":"36_CR15","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1162\/neco.1993.5.2.278","volume":"5","author":"Y.S. Abu-Mostafa","year":"1993","unstructured":"Abu-Mostafa, Y.S.: Hints and the VC dimension. Neural Computation\u00a05, 278\u2013288 (1993)","journal-title":"Neural Computation"},{"key":"36_CR16","series-title":"SCI","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/978-3-540-79438-7_2","volume-title":"Adaptive and Multilevel Metaheuristics","author":"J.E. Smith","year":"2008","unstructured":"Smith, J.E.: Self-adaptation in evolutionary algorithms for combinatorial optimisation. In: Cotta, C., Sevaux, M., S\u00f6rensen, K. (eds.) Adaptive and Multilevel Metaheuristics. SCI, vol.\u00a0136, pp. 31\u201357. Springer, Heidelberg (2008)"},{"issue":"2","key":"36_CR17","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1109\/TEVC.2003.819944","volume":"8","author":"Y.S. Ong","year":"2004","unstructured":"Ong, Y.S., Keane, A.: Meta-lamarckian learning in memetic algorithms. IEEE Transactions on Evolutionary Computation\u00a08(2), 99\u2013110 (2004)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"36_CR18","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/TSMCB.2005.856143","volume":"36","author":"Y. Ong","year":"2006","unstructured":"Ong, Y., Lim, M., Zhu, N., Wong, K.: Classification of adaptive memetic algorithms: a comparative study. IEEE Transactions on Systems, Man, and Cybernetics, Part B\u00a036(1), 141\u2013152 (2006)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-21498-1_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,27]],"date-time":"2019-03-27T22:14:20Z","timestamp":1553724860000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-21498-1_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642214974","9783642214981"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-21498-1_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}