{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T05:10:29Z","timestamp":1741237829581,"version":"3.38.0"},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642205248"},{"type":"electronic","value":"9783642205255"}],"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\/978-3-642-20525-5_32","type":"book-chapter","created":{"date-parts":[[2011,4,27]],"date-time":"2011-04-27T07:01:54Z","timestamp":1303887714000},"page":"314-323","source":"Crossref","is-referenced-by-count":9,"title":["An Investigation of Selection Hyper-heuristics in Dynamic Environments"],"prefix":"10.1007","author":[{"given":"Berna","family":"Kiraz","sequence":"first","affiliation":[]},{"given":"A. \u015eima","family":"Uyar","sequence":"additional","affiliation":[]},{"given":"Ender","family":"\u00d6zcan","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"32_CR1","unstructured":"Ayob, M., Kendall, G.: A monte carlo hyper-heuristic to optimise component placement sequencing for multi head placement machine. In: Proceedings of the Int. Conf. on Intelligent Technologies, pp. 132\u2013141 (2003)"},{"key":"32_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-0911-0","volume-title":"Evolutionary optimization in dynamic environments","author":"J. Branke","year":"2002","unstructured":"Branke, J.: Evolutionary optimization in dynamic environments. Kluwer, Dordrecht (2002)"},{"key":"32_CR3","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1007\/0-306-48056-5_16","volume-title":"Handbook of Metaheuristics","author":"E. Burke","year":"2003","unstructured":"Burke, E., Hart, E., Kendall, G., Newall, J., Ross, P., Schulenburg, S.: Hyper-heuristics: An emerging direction in modern search technology. In: Glover, F., Kochenberger, G. (eds.) Handbook of Metaheuristics, pp. 457\u2013474. Kluwer, Dordrecht (2003)"},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Burke, E., Kendall, G., Misir, M., \u00d6zcan, E.: Monte carlo hyper-heuristics for examination timetabling. Annals of Operations Research, 1\u201318 (2010)","DOI":"10.1007\/s10479-010-0782-2"},{"key":"32_CR5","first-page":"177","volume-title":"Computational Intelligence, Intelligent Systems Reference Library","author":"E.K. Burke","year":"2009","unstructured":"Burke, E.K., Hyde, M.R., Kendall, G., Ochoa, G., \u00d6zcan, E., Woodward, J.R.: Exploring hyper-heuristic methodologies with genetic programming. In: Kacprzyk, J., Jain, L.C., Mumford, C.L., Jain, L.C. (eds.) Computational Intelligence, Intelligent Systems Reference Library, vol.\u00a01, pp. 177\u2013201. Springer, Heidelberg (2009)"},{"key":"32_CR6","unstructured":"Burke, E.K., Hyde, M., Kendall, G., Ochoa, G., Ozcan, E., Qu, R.: A survey of hyper-heuristics. Tech. rep. (2009)"},{"key":"32_CR7","series-title":"International Series in Operations Research and Management Science","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1007\/978-1-4419-1665-5_15","volume-title":"Handbook of Metaheuristics","author":"E.K. Burke","year":"2010","unstructured":"Burke, E.K., Hyde, M., Kendall, G., Ochoa, G., \u00d6zcan, E., Woodward, J.R.: A classification of hyper-heuristic approaches. In: Gendreau, M., Potvin, J.Y. (eds.) Handbook of Metaheuristics. International Series in Operations Research and Management Science, vol.\u00a0146, pp. 449\u2013468. Springer, Heidelberg (2010)"},{"key":"32_CR8","unstructured":"Cobb, H.G.: An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuous, time-dependent nonstationary environments. Tech. Rep. AIC-90-001, Naval Research Lab., Washington, DC"},{"key":"32_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1007\/3-540-44629-X_11","volume-title":"Practice and Theory of Automated Timetabling III","author":"P. Cowling","year":"2001","unstructured":"Cowling, P., Kendall, G., Soubeiga, E.: A hyper-heuristic approach to scheduling a sales summit. In: Burke, E., Erben, W. (eds.) PATAT 2000. LNCS, vol.\u00a02079, p. 176. Springer, Heidelberg (2001)"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Crowston, W.B., Glover, F., Thompson, G.L., Trawick, J.D.: Probabilistic and parametric learning combinations of local job shop scheduling rules. ONR Research memorandum, GSIA, Carnegie Mellon University, Pittsburgh -(117) (1963)","DOI":"10.21236\/AD0600965"},{"key":"32_CR11","unstructured":"Denzinger, J., Fuchs, M.: High performance ATP systems by combining several AI methods. In: 4th Asia-Pacific Conf. on SEAL, pp. 102\u2013107 (1997)"},{"key":"32_CR12","first-page":"225","volume-title":"Industrial Scheduling","author":"H. Fisher","year":"1963","unstructured":"Fisher, H., Thompson, G.L.: Probabilistic learning combinations of local job-shop scheduling rules. In: Muth, J.F., Thompson, G.L. (eds.) Industrial Scheduling, pp. 225\u2013251. Prentice-Hall, New Jersey (1963)"},{"key":"32_CR13","unstructured":"Grefenstette, J.J.: Genetic algorithms for changing environments. In: Proceedings of Parallel Problem Solving from Nature, pp. 137\u20131446 (1992)"},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Lewis, J., Hart, E., Ritchie, G.: A comparison of dominance mechanisms and simple mutation on nonstationary problems. In: Proceedings of Parallel Problem Solving from Nature, pp. 139\u2013148 (1998)","DOI":"10.1007\/BFb0056857"},{"issue":"3","key":"32_CR15","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/TEVC.2005.846356","volume":"9","author":"Y. Jin","year":"2005","unstructured":"Jin, Y., Branke, J.: Evolutionary optimization in uncertain environments-a survey. IEEE Tran. on Evolutionary Comp.\u00a09(3), 303\u2013317 (2005)","journal-title":"IEEE Tran. on Evolutionary Comp."},{"key":"32_CR16","doi-asserted-by":"crossref","unstructured":"Kendall, G., Mohamad, M.: Channel assignment in cellular communication using a great deluge hyperheuristic. In: IEEE Int. Conf. on Network, pp. 769\u2013773 (2004)","DOI":"10.1109\/ICON.2004.1409283"},{"key":"32_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-06560-0","volume-title":"Designing evolutionary algorithms for dynamic environments","author":"R.W. Morrison","year":"2004","unstructured":"Morrison, R.W.: Designing evolutionary algorithms for dynamic environments. Springer, Heidelberg (2004)"},{"key":"32_CR18","doi-asserted-by":"crossref","first-page":"3","DOI":"10.3233\/IDA-2008-12102","volume":"12","author":"E. \u00d6zcan","year":"2008","unstructured":"\u00d6zcan, E., Bilgin, B., Korkmaz, E.E.: A comprehensive analysis of hyper-heuristics. Intelligent Data Analysis\u00a012, 3\u201323 (2008)","journal-title":"Intelligent Data Analysis"},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"\u00d6zcan, E., Etaner-Uyar, S., Burke, E.: A greedy hyper-heuristic in dynamic environments. In: GECCO 2009 Workshop on Automated Heuristic Design: Crossing the Chasm for Search Methods, pp. 2201\u20132204 (2009)","DOI":"10.1145\/1570256.1570302"},{"issue":"1","key":"32_CR20","doi-asserted-by":"publisher","first-page":"39","DOI":"10.4018\/jamc.2010102603","volume":"1","author":"E. \u00d6zcan","year":"2010","unstructured":"\u00d6zcan, E., Misir, M., Ochoa, G., Burke, E.K.: A reinforcement learning - great-deluge hyper-heuristic for examination timetabling. International Journal of Applied Metaheuristic Computing\u00a01(1), 39\u201359 (2010)","journal-title":"International Journal of Applied Metaheuristic Computing"},{"key":"32_CR21","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1007\/0-387-28356-0_17","volume-title":"Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques","author":"P. Ross","year":"2005","unstructured":"Ross, P.: Hyper-heuristics. In: Burke, E.K., Kendall, G. (eds.) Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, ch. 17, pp. 529\u2013556. Springer, Heidelberg (2005)"},{"key":"32_CR22","unstructured":"Ursem, R.K.: Multinational GA optimization techniques in dynamic environments. In: Proceedings of the Genetic Evol. Comput. Conf., pp. 19\u201326 (2000)"},{"key":"32_CR23","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1007\/s00500-004-0421-4","volume":"9","author":"A.S. Uyar","year":"2005","unstructured":"Uyar, A.S., Harmanci, A.E.: A new population based adaptive domination change mechanism for diploid genetic algorithms in dynamic environments. Soft Computing\u00a09, 803\u2013814 (2005)","journal-title":"Soft Computing"},{"key":"32_CR24","unstructured":"Vavak, F., Jukes, K., Fogarty, T.C.: Adaptive combustion balancing in multiple burner boiler using a genetic algorithm with variable range of local search. In: Proceedings of the Int. Conf. on Genetic Algorithms, pp. 719\u2013726 (1997)"},{"key":"32_CR25","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1162\/evco.2008.16.3.385","volume":"16","author":"S. Yang","year":"2008","unstructured":"Yang, S.: Genetic algorithms with memory and elitism based immigrants in dynamic environments. Evolutionary Computation\u00a016, 385\u2013416 (2008)","journal-title":"Evolutionary Computation"},{"key":"32_CR26","series-title":"SCI","volume-title":"Evolutionary Computation in Dynamic and Uncertain Environments","year":"2007","unstructured":"Yang, S., Ong, Y.S., Jin, Y. (eds.): Evolutionary Computation in Dynamic and Uncertain Environments. SCI, vol.\u00a051. Springer, Heidelberg (2007)"},{"key":"32_CR27","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1109\/TEVC.2007.913070","volume":"12","author":"S. Yang","year":"2008","unstructured":"Yang, S., Yao, X.: Population-based incremental learning with associative memory for dynamic environments. Trans. on Evolutionary Comp.\u00a012, 542\u2013561 (2008)","journal-title":"Trans. on Evolutionary Comp."}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-20525-5_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T08:28:27Z","timestamp":1741163307000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-20525-5_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642205248","9783642205255"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-20525-5_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}