{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T05:26:27Z","timestamp":1737005187978,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540497721"},{"type":"electronic","value":"9783540497745"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-49774-5_4","type":"book-chapter","created":{"date-parts":[[2007,4,2]],"date-time":"2007-04-02T16:18:34Z","timestamp":1175530714000},"page":"79-104","source":"Crossref","is-referenced-by-count":3,"title":["Orthogonal Dynamic Hill Climbing Algorithm: ODHC"],"prefix":"10.1007","author":[{"given":"Sanyou","family":"Zeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lishan","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixin","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"4_CR1_4","unstructured":"D. E. Goldberg and R. E. Smith. Nonstationary function optimization using genetic algorithms with dominance and diploidy. In J. J. Grefenstette, editor, Second International Conference on Genetic Algorithms, pages 59-68. Lawrence Erlbaum Associates, 1987."},{"key":"4_CR2_4","doi-asserted-by":"crossref","unstructured":"T. Back (1998). On the behavior of evolutionary algorithms in dynamic fitness landscapes. In Proc. of the 1998 IEEE Int. Conf. on Evolutionary Computation, pp 446-451. IEEE Press.","DOI":"10.1109\/ICEC.1998.699839"},{"key":"4_CR3_4","unstructured":"N. Mori, S. Imanishi, H. Kita, and Y. Nishikawa. Adaptation to changing envi-ronments by means of the memory based thermodynamical genetic algorithm. In T. B\u00e4ck, editor. Seventh International Conference on Genetic Algorithms, pp 299-306. Morgan Kaufmann, 1997."},{"key":"4_CR4_4","doi-asserted-by":"crossref","unstructured":"J. Branke. Evolutionary Optimization in Dynamic Environments. Kluwer Academic Publishers, 2002.","DOI":"10.1007\/978-1-4615-0911-0"},{"key":"4_CR5_4","unstructured":"J. Branke. Evolutionary approaches to dynamic optimization problems - Instruction and recent trends-. in J. Branke, editor, Proceedings of the Workshop on Evolutionary Algorithms for Dynamic Optimization Problems, pp 1-3. Chicago, USA, 2003."},{"key":"4_CR6_4","volume-title":"An investigation into the use of hypermutation as adaptive op-erator in genetic algorithms having continuous, time-dependent nonstationary environments","author":"HG Cobb","year":"1990","unstructured":"H. G. Cobb. An investigation into the use of hypermutation as adaptive op-erator in genetic algorithms having continuous, time-dependent nonstationary environments. Technical Report AIC-90-001, Naval Research Laboratory, Washington, USA, 1990."},{"key":"4_CR7_4","doi-asserted-by":"crossref","unstructured":"R. W. Morrison and K. A. De Jong (2000). Triggered hypermutation revisited. Proc. of the 2000 Congress on Evolutionary Computation, pp 1025-1032.","DOI":"10.1109\/CEC.2000.870759"},{"key":"4_CR8_4","unstructured":"J. J. Grefenstette. Genetic algorithms for changing environments. In R. Maenner and B. Manderick, editors, Parallel Problem Solving from Nature 2, pp 137-144. North-Holland, 1992."},{"key":"4_CR9_4","doi-asserted-by":"crossref","unstructured":"J. Lewis, E. Hart and G. Ritchie (1998). A comparison of dominance mecha-nisms and simple mutation on non-stationary problems. Proc. of the 5th Int. Conf. on Parallel Problem Solving from Nature, pp 139-148.","DOI":"10.1007\/BFb0056857"},{"key":"4_CR10_4","unstructured":"K. P. Ng and K. C. Wong (1995). A new diploids scheme and dominance change mechanism for non-stationary function optimisation. In L. J. Eshelman (ed.), Proc. of the 6th Int. Conf. on Genetic Algorithms."},{"key":"4_CR11_4","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1145\/1068009.1068196","volume":"2","author":"S Yang","year":"2005","unstructured":"S. Yang. Memory-based immigrants for genetic algorithms in dynamic environments. Proceedings of the 2005 Genetic and Evolutionary Computation Con-ference, Vol. 2, pp 1115-1122, 2005.","journal-title":"Proceedings of the 2005 Genetic and Evolutionary Computation Con-ference"},{"key":"4_CR12_4","doi-asserted-by":"crossref","unstructured":"J. Branke, T. Kaufler, C. Schmidt, and H. Schmeck. A multipopulation ap-proach to dynamic optimization problems. Adaptive Computing in Design and Manufacturing. Springer, 2000.","DOI":"10.1007\/978-1-4471-0519-0_24"},{"key":"4_CR13_4","volume-title":"Design and Analysis of Experiments","author":"DC Montgomery","year":"1991","unstructured":"D. C. Montgomery, Design and Analysis of Experiments, 3rd ed. New York: Wiley, 1991.","edition":"3"},{"issue":"1","key":"4_CR14_4","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1162\/evco.2004.12.1.77","volume":"12","author":"S Zeng","year":"2004","unstructured":"S. Zeng, L. Kang, L. Ding. An Orthogonal Multi-objective Evolutionary Algo-rithm for Multi-objective Optimization Problems with Constraints. Evolutionary Computation. Vol.12, No.1, pp 77-98, MIT Press, 2004.","journal-title":"Evolutionary Computation"},{"key":"4_CR15_4","doi-asserted-by":"crossref","unstructured":"S. Zeng, S. Yao, L. Kang, and Y. Liu. An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II. In C. A. Coello Coello et al. (Eds.), proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, LNCS series, Springer-Verlag, pp 108-119, 2005.","DOI":"10.1007\/978-3-540-31880-4_8"},{"key":"4_CR16_4","unstructured":"Y. W. Leung and Q. Zhang (1997). Evolutionary algorithms + experimental design methods: A hybrid approach for hard optimization and search problems, Res. Grant Proposal, Hong Kong Baptist Univ."},{"issue":"1","key":"4_CR17_4","first-page":"40","volume":"5","author":"YW Leung","year":"2001","unstructured":"Y. W. Leung and Y. Wang (2001). An orthogonal genetic algorithm with quan-tization for global numerical optimization. IEEE Trans. Evol. Comput. vol.5, No.1, pp. 40-53.","journal-title":"IEEE Trans. Evol. Comput"},{"key":"4_CR18_4","unstructured":"T. C. Fogarty, F. Vavak, and P. Cheng. Use of the genetic algotithm for load balancing of sugar beet presses. Proceedings of the 6th Int. Conf. on Genetic Algorithms, pages 617-624. Morgan Kanufmann, 1995."},{"key":"4_CR19_4","doi-asserted-by":"crossref","unstructured":"C. L. Karr. Genetic algorithms and fuzzy logic for adaptive process control. In S. Goonatilake and S. Khebbal, editors, Intelligeht Hybrid Systems, chapter 4, pages 63-64, John Wiley, 1995.","DOI":"10.1007\/978-1-4615-2353-6_11"},{"key":"4_CR20_4","doi-asserted-by":"crossref","unstructured":"C. L. Karr. Adaptive process control using biologic paradigms, In L. C. Jain, editor, Proceedings of Electronic Technology Directions to the Year 2000, volume 1, pages 128-136, 1995. 104 Sanyou Zeng, Hui Shi, Lishan Kang, and Lixin Ding","DOI":"10.1109\/ETD.1995.403481"},{"key":"4_CR21_4","unstructured":"C. L. Ramsey and J. J. Grefenstette. Case-based initialization of genetic algo-rithms, In S. Forrest, editor, Proceedings of the 5th International Conference on Genetic Algorithms, pages 84-91. Morgan Kaufmann, 1993."},{"key":"4_CR22_4","doi-asserted-by":"crossref","first-page":"2047","DOI":"10.1109\/CEC.1999.785526","volume":"3","author":"RW Morrison","year":"1999","unstructured":"R. W. Morrison and K. A. DeJong. A test problem generator for nonstationary environments. Proceedings of the 1999 Congress on Evolutionary Computation, volume 3, pages 2047-2053, 1999.","journal-title":"Proceedings of the 1999 Congress on Evolutionary Computation"},{"key":"4_CR23_4","doi-asserted-by":"crossref","first-page":"1262","DOI":"10.1109\/CEC.2004.1331042","volume":"2","author":"S Yang","year":"2004","unstructured":"S. Yang. Constructing dynamic test environments for genetic algorithms based on problem difficulty. Proceedings of the 2004 Congress on Evolutionary Com-putation, Vol. 2, pages 1262-1269, 2004.","journal-title":"Proceedings of the 2004 Congress on Evolutionary Com-putation"},{"key":"4_CR24_4","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-1478-6","volume-title":"Orthogonal Arrays: Theory and Applications","author":"AS Hedayat","year":"1999","unstructured":"A. S. Hedayat, N. J. A. Sloane and J. Stufken. Orthogonal Arrays: Theory and Applications. New York: Springer-Verlag, 1999."},{"key":"4_CR25_4","volume-title":"Guiding multiobjective evolutionary algorithms towards interesting regions","author":"J Branke","year":"2000","unstructured":"J. Branke, T. Kaubler, and H. Schmeck. Guiding multiobjective evolutionary algorithms towards interesting regions. Technical Report No. 399, Institute AIFB, University of Karlsruhe, Germany, 2000"}],"container-title":["Studies in Computational Intelligence","Evolutionary Computation in Dynamic and Uncertain Environments"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-49774-5_4.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T11:31:07Z","timestamp":1736940667000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-49774-5_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540497721","9783540497745"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-49774-5_4","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2007]]}}}