{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T04:12:03Z","timestamp":1748751123861,"version":"3.41.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319273990"},{"type":"electronic","value":"9783319274003"}],"license":[{"start":{"date-parts":[[2015,11,18]],"date-time":"2015-11-18T00:00:00Z","timestamp":1447804800000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-27400-3_34","type":"book-chapter","created":{"date-parts":[[2015,12,1]],"date-time":"2015-12-01T17:08:38Z","timestamp":1448989718000},"page":"381-392","source":"Crossref","is-referenced-by-count":4,"title":["Using Headless Chicken Crossover for Local Guide Selection When Solving Dynamic Multi-objective Optimization"],"prefix":"10.1007","author":[{"given":"Mard\u00e9","family":"Helbig","sequence":"first","affiliation":[]},{"given":"Andries P.","family":"Engelbrecht","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,11,18]]},"reference":[{"key":"34_CR1","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1007\/978-3-642-05165-4_5","volume-title":"Multi-Objective Swarm Intelligent Systems","author":"M Greeff","year":"2010","unstructured":"Greeff, M., Engelbrecht, A.: Dynamic multi-objective optimisation using PSO. In: Nedjah, N., dos Santos Coelho, L., de Macedo Mourelle, L. (eds.) Multi-Objective Swarm Intelligent Systems. Studies in Computational Intelligence, vol. 261, pp. 105\u2013123. Springer, Berlin (2010)"},{"key":"34_CR2","unstructured":"Jones, T.: Crossover, macromutation, and population-based search. In: Proceedings of the International Conference on Genetic Algorithms, pp. 73\u201380. San Francisco, U.S.A. (1995)"},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Deb, K., Joshi, D., Anand, A.: Real-coded evolutionary algorithms with parent-centric recombination. In: Proceedings of the Congress on Evolutionary Computation, vol. 1, pp. 61\u201366 (May 2002)","DOI":"10.1109\/CEC.2002.1006210"},{"issue":"2\u20133","key":"34_CR4","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1023\/A:1016568309421","volume":"1","author":"K Parsopoulos","year":"2002","unstructured":"Parsopoulos, K., Vrahatis, M.: Recent approaches to global optimization problems through particle swarm optimization. Nat. Comput. 1(2\u20133), 235\u2013306 (2002)","journal-title":"Nat. Comput."},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"Carlisle, A., Dozier, G.: Tracking changing extrema with adaptive particle swarm optimizer. In: Proceedings of World Automation Congress, vol. 13, pp. 265\u2013270. Orlando, Florida, U.S.A. (June 2002)","DOI":"10.1109\/WAC.2002.1049555"},{"key":"34_CR6","unstructured":"F.v.d.Bergh: An analysis of particle swarm optimizers. Ph.D. thesis, Department of Computer Science University of Pretoria (2002)"},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Pampar\u00e1, G., Engelbrecht, A., Cloete, T.: CIlib: A collaborative framework for computational intelligence algorithms\u2014Part I. In: Proceedings of World Congress on Computational Intelligence, pp. 1750\u20131757. Hong Kong, 1-8 June 2008. http:\/\/www.cilib.net . Last accessed on: 10 December 2013","DOI":"10.1109\/IJCNN.2008.4634035"},{"issue":"3","key":"34_CR8","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1145\/2517649","volume":"46","author":"M Helbig","year":"2014","unstructured":"Helbig, M., Engelbrecht, A.: Benchmarks of dynamic multi-objective optimisation algorithms. ACM Comput. Surv. 46(3), 37 (2014)","journal-title":"ACM Comput. Surv."},{"issue":"5","key":"34_CR9","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1109\/TEVC.2004.831456","volume":"8","author":"M Farina","year":"2004","unstructured":"Farina, M., Deb, K., Amato, P.: Dynamic multiobjective optimization problems: test cases, approximations, and applications. IEEE Trans. Evol. Comput. 8(5), 425\u2013442 (2004). October","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"34_CR10","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/s12293-009-0026-7","volume":"2","author":"W Koo","year":"2010","unstructured":"Koo, W., Goh, C., Tan, K.: A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. Memet. Comput. 2(2), 87\u2013110 (2010)","journal-title":"Memet. Comput."},{"key":"34_CR11","doi-asserted-by":"crossref","unstructured":"Helbig, M., Engelbrecht, A.: Benchmarks for dynamic multi-objective optimisation. In: Proceedings of IEEE Symposium Series on Computational Intelligence, pp. 84\u201391. Singapore (April 2013)","DOI":"10.1109\/CIDUE.2013.6595776"},{"issue":"1","key":"34_CR12","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1109\/TEVC.2008.920671","volume":"13","author":"CK Goh","year":"2009","unstructured":"Goh, C.K., Tan, K.: A competitive-cooperative coevolutionary paradigm for dynamic multiobjective optimization. IEEE Trans. Evol. Comput. 13(1), 103\u2013127 (2009). February","journal-title":"IEEE Trans. Evol. Comput."},{"key":"34_CR13","doi-asserted-by":"crossref","unstructured":"Helbig, M., Engelbrecht, A.: Issues with performance measures for dynamic multi-objective optimisation. In: Proceedings of IEEE Symposium Series on Computational Intelligence, pp. 17\u201324. Singapore (April 2013)","DOI":"10.1109\/CIDUE.2013.6595767"},{"key":"34_CR14","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.ins.2013.06.051","volume":"250","author":"M Helbig","year":"2013","unstructured":"Helbig, M., Engelbrecht, A.: Performance measures for dynamic multi-objective optimisation algorithms. Inf. Sci. 250, 61\u201381 (2013). November","journal-title":"Inf. Sci."},{"issue":"16\u201318","key":"34_CR15","first-page":"3570","volume":"72","author":"M C\u00e1mara","year":"2007","unstructured":"C\u00e1mara, M., Ortega, J., de Toro, F.: A single front genetic algorithm for parallel multi-objective optimization in dynamic environments. Neurocomputing 72(16\u201318), 3570\u20133579 (2007)","journal-title":"Neurocomputing"},{"key":"34_CR16","first-page":"292","volume-title":"Lecture Notes in Computer Science","author":"Eckart Zitzler","year":"1998","unstructured":"Zitzler, E., Thiele, L.: Multiobjective optimization using evolutionary algorithms a comparative case study, vol. 1498, pp. 292\u2013301 (1998)"},{"key":"34_CR17","doi-asserted-by":"crossref","unstructured":"Fonseca, C., Paquete, L., Lopez-Ibanez, M.: An improved dimension-sweep algorithm for the hypervolume indicator. In: Proceedings of Congress on Evolutionary Computation, pp. 1157\u20131163 (July 2006)","DOI":"10.1109\/CEC.2006.1688440"},{"key":"34_CR18","doi-asserted-by":"crossref","unstructured":"Helbig, M., Engelbrecht, A.: Analysing the performance of dynamic multi-objective optimisation algorithms. In: Proceedings of the IEEE Congress on Evolutionary Computation, pp. 1531\u20131539. Canc\u00fan, Mexico (June 2013)","DOI":"10.1109\/CEC.2013.6557744"},{"key":"34_CR19","unstructured":"Helbig, M., Engelbrecht, A.: Results of the IEEE CEC 2015 DMOO Competition. https:\/\/sites.google.com\/site\/cec2015dmoocomp\/"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Nature and Biologically Inspired Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-27400-3_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T16:40:27Z","timestamp":1748709627000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-27400-3_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,18]]},"ISBN":["9783319273990","9783319274003"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-27400-3_34","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2015,11,18]]}}}