{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T17:42:25Z","timestamp":1779903745166,"version":"3.53.1"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2010,3,9]],"date-time":"2010-03-09T00:00:00Z","timestamp":1268092800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Heuristics"],"published-print":{"date-parts":[[2010,12]]},"DOI":"10.1007\/s10732-010-9125-3","type":"journal-article","created":{"date-parts":[[2010,3,8]],"date-time":"2010-03-08T12:07:50Z","timestamp":1268050070000},"page":"881-909","source":"Crossref","is-referenced-by-count":75,"title":["Autonomous operator management for evolutionary algorithms"],"prefix":"10.1007","volume":"16","author":[{"given":"Jorge","family":"Maturana","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Lardeux","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Saubion","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2010,3,9]]},"reference":[{"key":"9125_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1007\/978-3-540-79305-2_4","volume-title":"8th International Conference, Evolution Artificielle, EA","author":"M. Bader-El-Den","year":"2008","unstructured":"Bader-El-Den, M., Poli, R.: Generating sat local-search heuristics using a gp hyper-heuristic framework. In: 8th International Conference, Evolution Artificielle, EA 2007, Tours, France. Lecture Notes in Computer Science, vol. 4926, pp. 37\u201349. Springer, Berlin (2008)"},{"key":"9125_CR2","series-title":"Lecture Notes in Computer Science","volume-title":"Learning and Intelligent Optimization Second International Conference, LION 2007 II","author":"R. Battiti","year":"2008","unstructured":"Battiti, R., Brunato, M.: Learning and Intelligent Optimization Second International Conference, LION 2007 II. Lecture Notes in Computer Science, vol.\u00a05313. Springer, Berlin (2008)"},{"key":"9125_CR3","doi-asserted-by":"crossref","unstructured":"Battiti, R., Brunato, M.: Reactive search optimization: learning while optimizing, In: Handbook of Metaheuristics, 2nd edn. Springer, Berlin (2009, in press)","DOI":"10.1007\/978-1-4419-1665-5_18"},{"key":"9125_CR4","series-title":"Operations Research\/Computer Science Interfaces","volume-title":"Reactive Search and Intelligent Optimization","author":"R. Battiti","year":"2008","unstructured":"Battiti, R., Brunato, M., Mascia, F.: Reactive Search and Intelligent Optimization. Operations Research\/Computer Science Interfaces, vol.\u00a045. Springer, Berlin (2008)"},{"key":"9125_CR5","series-title":"Frontiers in Artificial Intelligence and Applications","volume-title":"Handbook of Satisfiability","year":"2009","unstructured":"Biere, A., Heule, M., van Maaren, H., Walsh, T. (eds.): Handbook of Satisfiability, Frontiers in Artificial Intelligence and Applications, vol.\u00a0185. IOS Press, Amsterdam (2009)"},{"key":"9125_CR6","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1007\/0-306-48056-5_16","volume-title":"Handbook of Meta-Heuristics","author":"E.K. Burke","year":"2003","unstructured":"Burke, E.K., Kendall, G., Newall, J., Hart, E., Ross, P., Schulenburg, S.: Hyper-heuristics: an emerging direction in modern search technology. In: Handbook of Meta-Heuristics, pp. 457\u2013474. Kluwer Academic, Dordrecht (2003)"},{"key":"9125_CR7","unstructured":"Burke, E.K., Hyde, M., Kendall, G., Ochoa, G., Ozcan, E., Qu, R.: A survey of hyper-heuristics. Technical Report No. NOTTCS-TR-SUB-0906241418-2747, School of Computer Science and Information Technology, University of Nottingham, Computer Science (2009a)"},{"key":"9125_CR8","doi-asserted-by":"crossref","unstructured":"Burke, E.K., Hyde, M., Kendall, G., Ochoa, G., Ozcan, E., Woodward, J.: A classification of hyper-heuristics approaches. In: Gendreau, M., Potvin, J.-Y. (eds.) Handbook of Metaheuristics. International Series in Operations Research and Management Science. Springer, Berlin (2009b, in press)","DOI":"10.1007\/978-1-4419-1665-5_15"},{"key":"9125_CR9","unstructured":"Cowling, P., Soubeiga, E.: Neighborhood structures for personnel scheduling: a summit meeting scheduling problem (abstract). In: Burke, E.K., Erben, W. (eds.) Proceedings of the 3rd International Conference on the Practice and Theory of Automated Timetabling, Constance, Germany (2000)"},{"key":"9125_CR10","series-title":"Lecture Notes in Computer Science","first-page":"1","volume-title":"Applications of Evolutionary Computing, EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM\/EvoPLAN","author":"P.I. Cowling","year":"2002","unstructured":"Cowling, P.I., Kendall, G., Soubeiga, E.: Hyperheuristics: a tool for rapid prototyping in scheduling and optimisation. In: Applications of Evolutionary Computing, EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM\/EvoPLAN. Lecture Notes in Computer Science, vol. 2279, pp. 1\u201310. Springer, Berlin (2002)"},{"key":"9125_CR11","doi-asserted-by":"crossref","unstructured":"Crowston, W., Glover, F., Thompson, G., Trawick, J.: Probabilistic and parametric learning combinations of local job shop scheduling rules. Technical Report, ONR Research Memorandum No. 117, GSIA, Carnegie-Mellon University, Pittsburg, PA (1963)","DOI":"10.21236\/AD0600965"},{"key":"9125_CR12","volume-title":"GECCO Workshop on Open-Source Software for Applied Genetic and Evolutionary Computation (SoftGEC)","author":"L. Da Costa","year":"2007","unstructured":"Da Costa, L., Schoenauer, M.: GUIDE, a graphical user interface for evolutionary algorithms design. In: Moore, J.H. (ed.) GECCO Workshop on Open-Source Software for Applied Genetic and Evolutionary Computation (SoftGEC). ACM, New York (2007). Software available at http:\/\/guide.gforge.inria.fr\/"},{"key":"9125_CR13","first-page":"61","volume-title":"Proceedings of the Third International Conference on Genetic Algorithms","author":"L. Davis","year":"1989","unstructured":"Davis, L.: Adapting operator probabilities in genetic algorithms. In: Proceedings of the Third International Conference on Genetic Algorithms, pp. 61\u201369, San Francisco, CA, USA, 1989. Morgan Kaufmann, San Mateo (1989)"},{"key":"9125_CR14","volume-title":"Evolutionary Computation: A Unified Approach","author":"K.A. De Jong","year":"2006","unstructured":"De Jong, K.A.: Evolutionary Computation: A Unified Approach. MIT Press, Cambridge (2006)"},{"key":"9125_CR15","unstructured":"De Jong, K.A., Spears, W.M.: Using genetic algorithm to solve NP-complete problems. In: Proc. of the 3rd International Conference on Genetic Algorithms (ICGA\u201989), pp. 124\u2013132, Virginia, USA (1989)"},{"key":"9125_CR16","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-05094-1","volume-title":"Introduction to Evolutionary Computing. Natural Computing Series","author":"A.E. Eiben","year":"2003","unstructured":"Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing. Natural Computing Series. Springer, Berlin (2003)"},{"issue":"2","key":"9125_CR17","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1109\/4235.771166","volume":"3","author":"A.E. Eiben","year":"1999","unstructured":"Eiben, A.E., Hinterding, R., Michalewicz, Z.: Parameter control in evolutionary algorithms. IEEE Trans. Evol. Comput. 3(2), 124\u2013141 (1999)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"9125_CR18","series-title":"Computational Intelligence","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/978-3-540-69432-8_2","volume-title":"Parameter Setting in Evolutionary Algorithms","author":"A.E. Eiben","year":"2007","unstructured":"Eiben, A.E., Michalewicz, Z., Schoenauer, M., Smith, J.E.: Parameter control in evolutionary algorithms. In: Parameter Setting in Evolutionary Algorithms, Computational Intelligence, vol. 54, pp. 19\u201346. Springer, Berlin (2007)"},{"key":"9125_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/978-3-540-87700-4_18","volume-title":"Parallel Problem Solving from Nature\u2014PPSN X, 10th International Conference","author":"A. Fialho","year":"2008","unstructured":"Fialho, A., Da Costa, L., Schoenauer, M., Sebag, M.: Extreme value based adaptive operator selection. In: Rudolph, G., et al. (eds.) Parallel Problem Solving from Nature\u2014PPSN X, 10th International Conference. Lecture Notes in Computer Science, vol. 5199, pp. 175\u2013184. Springer, Berlin (2008)"},{"key":"9125_CR20","volume-title":"Industrial Scheduling","author":"H. Fisher","year":"1963","unstructured":"Fisher, H., Thompson, L.: Probabilistic learning combinations of local job-shop scheduling rules. In: Industrial Scheduling. Prentice Hall, New York (1963)"},{"key":"9125_CR21","doi-asserted-by":"crossref","unstructured":"Fleurent, C., Ferland, J.A.: Object-oriented implementation of heuristic search methods for graph coloring, maximum clique, and satisfiability. In: Cliques, Coloring, and Satisfiability: Second DIMACS Implementation Challenge. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, vol. 26, pp. 619\u2013652 (1996)","DOI":"10.1090\/dimacs\/026\/29"},{"issue":"1","key":"9125_CR22","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1162\/evco.2008.16.1.31","volume":"16","author":"A. Fukunaga","year":"2008","unstructured":"Fukunaga, A.: Automated discovery of local search heuristics for satisfiability testing. Evol. Comput. 16(1), 31\u201361 (2008)","journal-title":"Evol. Comput."},{"key":"9125_CR23","volume-title":"Computers and Intractability, a Guide to the Theory of NP-Completeness","author":"M.R. Garey","year":"1979","unstructured":"Garey, M.R., Johnson, D.S.: Computers and Intractability, a Guide to the Theory of NP-Completeness. Freeman, New York (1979)"},{"key":"9125_CR24","series-title":"International Series in Operations Research & Management Science","doi-asserted-by":"crossref","DOI":"10.1007\/b101874","volume-title":"Handbook of Metaheuristics","author":"F. Glover","year":"2003","unstructured":"Glover, F., Kochenberger, G.: Handbook of Metaheuristics. International Series in Operations Research & Management Science. Springer, Berlin (2003)"},{"key":"9125_CR25","volume-title":"Genetic Algorithms in Search, Optimization, and Machine Learning","author":"D.E. Goldberg","year":"1989","unstructured":"Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley\/Longman, Reading\/Harlow (1989)"},{"issue":"4","key":"9125_CR26","first-page":"407","volume":"5","author":"D.E. Goldberg","year":"1990","unstructured":"Goldberg, D.E.: Probability matching, the magnitude of reinforcement, and classifier system bidding. Mach. Learn. 5(4), 407\u2013425 (1990)","journal-title":"Mach. Learn."},{"key":"9125_CR27","series-title":"Lecture Notes in Computer Sscience","volume-title":"Parallel Problem Solving from Nature\u2014PPSN VI 6th International Conference","author":"J. Gottlieb","year":"2000","unstructured":"Gottlieb, J., Voss, N.: Adaptive fitness functions for the satisfiability problem. In: Parallel Problem Solving from Nature\u2014PPSN VI 6th International Conference. Lecture Notes in Computer Sscience, vol.\u00a01917. Springer, Berlin (2000)"},{"key":"9125_CR28","unstructured":"Hamadi, Y., Monfroy, E., Saubion, F.: Special issue on autonomous search. Contraint Program. Lett. 4 (2008a)"},{"key":"9125_CR29","unstructured":"Hamadi, Y., Monfroy, E., Saubion, F.: What is autonomous search? Technical Report MSR-TR-2008-80, Microsoft Research (2008b)"},{"key":"9125_CR30","volume-title":"Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence","author":"J.H. Holland","year":"1975","unstructured":"Holland, J.H.: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence. University of Michigan Press, Ann Arbor (1975)"},{"key":"9125_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/11889205_17","volume-title":"Twelfth International Conference on Principles and Practice of Constraint Programming","author":"F. Hutter","year":"2006","unstructured":"Hutter, F., Hamadi, Y., Hoos, H., Brown, K.L.: Performance prediction and automated tuning of randomized and parametric algorithms. In: Twelfth International Conference on Principles and Practice of Constraint Programming. Lecture Notes in Computer Science, vol. 4204, pp. 213\u2013228. Springer, Berlin (2006)"},{"key":"9125_CR32","unstructured":"Hutter, F., Hoos, H.H., St\u00fctzle, T.: Automatic algorithm configuration based on local search. In: Proc. of the Twenty-Second Conference on Artifical Intelligence (AAAI\u201907), pp. 1152\u20131157 (2007)"},{"key":"9125_CR33","first-page":"81","volume-title":"Proceedings of the 6th International Conference on Genetic Algorithms","author":"B.A. Julstrom","year":"1995","unstructured":"Julstrom, B.A.: What have you done for me lately? Adapting operator probabilities in a steady-state genetic algorithm. In: Proceedings of the 6th International Conference on Genetic Algorithms, pp. 81\u201387. Morgan Kaufmann, San Mateo (1995)"},{"key":"9125_CR34","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/978-3-540-24621-3_9","volume-title":"Artificial Evolution, 6th International Conference, Evolution Artificielle","author":"F. Lardeux","year":"2004","unstructured":"Lardeux, F., Saubion, F., Hao, J.-K.: Recombination operators for satisfiability problems. In: Artificial Evolution, 6th International Conference, Evolution Artificielle. Lecture Notes in Computer Science, vol. 2936, pp. 103\u2013114. Springer, Berlin (2004)"},{"issue":"2","key":"9125_CR35","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1162\/evco.2006.14.2.223","volume":"14","author":"F. Lardeux","year":"2006","unstructured":"Lardeux, F., Saubion, F., Hao, J.-K.: GASAT: a genetic local search algorithm for the satisfiability problem. Evol. Comput. 14(2), 223\u2013253 (2006)","journal-title":"Evol. Comput."},{"key":"9125_CR36","unstructured":"Le Berre, D., Roussel, O., Simon, L.: The SAT2007 competition. Technical Report, Tenth International Conference on Theory and Applications of Satisfiability Testing, May 2007"},{"key":"9125_CR37","first-page":"121","volume-title":"IEEE International Conference on Evolutionary Computation","author":"F.G. Lobo","year":"1997","unstructured":"Lobo, F.G., Goldberg, D.E.: Decision making in a hybrid genetic algorithm. In: IEEE International Conference on Evolutionary Computation, pp. 121\u2013125. IEEE Press, New York (1997)"},{"key":"9125_CR38","series-title":"Studies in Computational Intelligence","volume-title":"Parameter Setting in Evolutionary Algorithms","year":"2007","unstructured":"Lobo, F., Lima, C., Michalewicz, Z. (eds.): Parameter Setting in Evolutionary Algorithms. Studies in Computational Intelligence, vol.\u00a054. Springer, Berlin (2007)"},{"key":"9125_CR39","unstructured":"Marchiori, E., Rossi, C.: A flipping genetic algorithm for hard 3-SAT problems. In: Proc. of the Genetic and Evolutionary Computation Conference, vol. 1, pp. 393\u2013400 (1999)"},{"key":"9125_CR40","series-title":"Lecture Notes in Computer Science","volume-title":"Proc. Int. Conf. on Artificial Evolution","author":"J. Maturana","year":"2007","unstructured":"Maturana, J., Saubion, F.: On the design of adaptive control strategies for evolutionary algorithms. In: Proc. Int. Conf. on Artificial Evolution. Lecture Notes in Computer Science, vol. 4926. Springer, Berlin (2007a)"},{"key":"9125_CR41","doi-asserted-by":"crossref","unstructured":"Maturana, J., Saubion, F.: Towards a generic control strategy for EAs: an adaptive fuzzy-learning approach. In: Proceedings of IEEE International Conference on Evolutionary Computation (CEC), pp. 4546\u20134553 (2007b)","DOI":"10.1109\/CEC.2007.4425067"},{"key":"9125_CR42","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1007\/978-3-540-87700-4_26","volume-title":"Parallel Problem Solving from Nature\u2014PPSN X, 10th International Conference Dortmund","author":"J. Maturana","year":"2008","unstructured":"Maturana, J., Saubion, F.: A compass to guide genetic algorithms. In: Rudolph, G., et al. (eds.) Parallel Problem Solving from Nature\u2014PPSN X, 10th International Conference Dortmund, Germany, 13\u201317 September, 2008. Lecture Notes in Computer Science, vol. 5199, pp. 256\u2013265. Springer, Berlin (2008)"},{"key":"9125_CR43","doi-asserted-by":"crossref","unstructured":"Maturana, J., Fialho, A., Saubion, F., Schoenauer, M., Sebag, M.: Compass and dynamic multi-armed bandits for adaptive operator selection. In: Proceedings of IEEE Congress on Evolutionary Computation CEC (2009)","DOI":"10.1109\/CEC.2009.4982970"},{"key":"9125_CR44","first-page":"47","volume-title":"Self-Adaptation in Evolutionary Computation","author":"S. Meyer-Nieberg","year":"2007","unstructured":"Meyer-Nieberg, S., Beyer, H.G.: Self-Adaptation in Evolutionary Computation, pp. 47\u201376. Springer, Berlin (2007)"},{"key":"9125_CR45","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1007\/978-3-540-87700-4_53","volume-title":"Parallel Problem Solving from Nature\u2014PPSN X, 10th International Conference Dortmund","author":"V. Nannen","year":"2008","unstructured":"Nannen, V., Smit, S.K., Eiben, A.E.: Costs and benefits of tuning parameters of evolutionary algorithms. In: Parallel Problem Solving from Nature\u2014PPSN X, 10th International Conference Dortmund, Germany, 13\u201317 September, 2008. Lecture Notes in Computer Science, vol. 5199, pp. 528\u2013538. Springer, Berlin (2008)"},{"key":"9125_CR46","volume-title":"Oeuvres Compl\u00e8tes","author":"V. Pareto","year":"1896","unstructured":"Pareto, V.: Cours d\u2019\u00e9conomie politique. In: Oeuvres Compl\u00e8tes. Droz, Gen\u00e8ve (1896)"},{"key":"9125_CR47","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/S0065-2458(08)60520-3","volume":"15","author":"J.R. Rice","year":"1976","unstructured":"Rice, J.R.: The algorithm selection problem. Adv. Comput. 15, 65\u2013118 (1976)","journal-title":"Adv. Comput."},{"key":"9125_CR48","first-page":"463","volume-title":"Proc. of the ACM Symposium on Applied Computing (SAC\u201900)","author":"C. Rossi","year":"2000","unstructured":"Rossi, C., Marchiori, E., Kok, J.N.: An adaptive evolutionary algorithm for the satisfiability problem. In: Proc. of the ACM Symposium on Applied Computing (SAC\u201900), pp. 463\u2013470. ACM, New York (2000)"},{"key":"9125_CR49","series-title":"Collection Programmation par Contraintes","volume-title":"Probl\u00e8me SAT: Progr\u00e8s et D\u00e9fis","author":"L. Sais","year":"2008","unstructured":"Sais, L.: Probl\u00e8me SAT: Progr\u00e8s et D\u00e9fis. Collection Programmation par Contraintes. Herm\u00e8s, Paris (2008)"},{"key":"9125_CR50","unstructured":"Simon, L., Le Berre, D.: The SAT2005 competition. Technical Report, Eighth International Conference on the Theory and Applications of Satisfiability Testing, June 2005"},{"key":"9125_CR51","doi-asserted-by":"crossref","unstructured":"Smit, S., Eiben, G.: Comparing parameter tuning methods for evolutionary algorithms. In: Proceedings of the IEEE Congress on Evolutionary Computation (2009)","DOI":"10.1109\/CEC.2009.4982974"},{"issue":"1","key":"9125_CR52","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1456650.1456656","volume":"41","author":"A.K. Smith-Miles","year":"2008","unstructured":"Smith-Miles, A.K.: Cross-disciplinary perspectives on meta-learning for algorithm selection. ACM Comput. Surv. 41(1), 1\u201325 (2008)","journal-title":"ACM Comput. Surv."},{"key":"9125_CR53","first-page":"2","volume-title":"Proceedings of the Third International Conference on Genetic Algorithms","author":"G. Sywerda","year":"1989","unstructured":"Sywerda, G.: Uniform crossover in genetic algorithms. In: Proceedings of the Third International Conference on Genetic Algorithms, pp. 2\u20139. San Francisco, CA, USA. Morgan Kaufmann, San Mateo (1989)"},{"key":"9125_CR54","first-page":"1539","volume-title":"Proc. GECCO\u201905","author":"D. Thierens","year":"2005","unstructured":"Thierens, D.: An adaptive pursuit strategy for allocating operator probabilities. In: Beyer, H.-G. (ed.) Proc. GECCO\u201905, pp. 1539\u20131546. ACM, New York (2005)"},{"key":"9125_CR55","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/978-3-540-69432-8_4","volume-title":"Parameter Setting in Evolutionary Algorithms","author":"D. Thierens","year":"2007","unstructured":"Thierens, D.: Adaptive strategies for operator allocation. In: Lobo, F.G., Lima, C.F., Michalewicz, Z. (eds.) Parameter Setting in Evolutionary Algorithms, pp. 77\u201390. Springer, Berlin (2007)"},{"issue":"2","key":"9125_CR56","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1162\/evco.1998.6.2.161","volume":"6","author":"A. Tuson","year":"1998","unstructured":"Tuson, A., Ross, P.: Adapting operator settings in genetic algorithms. Evol. Comput. 6(2), 161\u2013184 (1998)","journal-title":"Evol. Comput."},{"key":"9125_CR57","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1145\/1143997.1144205","volume-title":"GECCO\u201906: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation","author":"J.M. Whitacre","year":"2006","unstructured":"Whitacre, J.M., Pham, T.Q., Sarker, R.A.: Use of statistical outlier detection method in adaptive evolutionary algorithms. In: GECCO\u201906: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, pp. 1345\u20131352. ACM, New York (2006)"},{"issue":"8","key":"9125_CR58","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1007\/s00500-002-0235-1","volume":"7","author":"Y.-I. Wong","year":"2003","unstructured":"Wong, Y.-I., Lee, K.-H., Leung, K.-S., Ho, C.-W.: A novel approach in parameter adaptation and diversity maintenance for GAs. Soft. Comput. 7(8), 506\u2013515 (2003)","journal-title":"Soft. Comput."},{"key":"9125_CR59","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1613\/jair.2490","volume":"32","author":"L. Xu","year":"2008","unstructured":"Xu, L., Hutter, F., Hoos, H.H., Leyton-Brown, K.: Satzilla: portfolio-based algorithm selection for sat. J.\u00a0Artif. Intell. Res. 32, 565\u2013606 (2008)","journal-title":"J.\u00a0Artif. Intell. Res."}],"container-title":["Journal of Heuristics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10732-010-9125-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10732-010-9125-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10732-010-9125-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T18:54:30Z","timestamp":1559242470000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10732-010-9125-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,3,9]]},"references-count":59,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2010,12]]}},"alternative-id":["9125"],"URL":"https:\/\/doi.org\/10.1007\/s10732-010-9125-3","relation":{},"ISSN":["1381-1231","1572-9397"],"issn-type":[{"value":"1381-1231","type":"print"},{"value":"1572-9397","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,3,9]]}}}