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7th International Conference on Evolutionary Multi-Criterion Optimization
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¸Ã»áÒéÿÁ½ÄêÒ»´Î£¬½ñÄêÔÚл·Æ¶ûµÂ´óѧ´óѧ¾ÙÐС£IEEE fellow,»Ê¼Ò¹¤³ÌԺԺʿPeter J. FlemingÊÇÖ÷ϯ֮һ¡£ÀÏ´ó¼ÒÓÐÎÊÌâ¿ÉÒÔ¸úÌû½»Á÷£¬¸ü»¶ÓÔø¾Í¶¸åµÄ¸øÓèÖ¸µã£¨Ð¡Ä¾³æÓÐÒ»¸öÌû×Ó½éÉÜEMO£©¡£ÏêϸÄÚÈݼûhttps://www.shef.ac.uk/emo2013¡£ÔÚ´Ë£¬½öÌù³öÕ÷ÎÄÖ÷ÌâºÍÖ÷ÒªÈÕÆÚ¡£ 1¡¢Publication All accepted works will be published as full papers in Springer-Verlag¡¯s Lecture Notes in Computer Science (LNCS) series. Guidelines for the preparation of contributions are available on Spinger's Information for LNCS Authors webpage. 2¡¢Conference format The conference will include: •Invited keynote and tutorial speakers •Core EMO track •MCDM track •Real-world applications track Following the research family tradition of the EMO community, the conference will be in single session format, with high-quality, peer-reviewed papers delivered as either oral presentations or as interactive poster presentations. Core EMO Track In the core EMO track, full papers are invited on novel aspects of EMO theory and methodology. Topics may include, but are not limited to: •New developments for existing classes of EMO algorithms: e.g. aggregation- based, dominance-based, indicator-based •Methods for a priori, progressive and a posteriori knowledge mining of the problem landscape •Methods to handle problems with more than three objectives •Methods to handle problems featuring uncertainty in decision-space and/or objective-space •Methods to handle expensive objective function evaluations •Methods to handle dynamic problems •Methods for interactive preference articulation and exploitation, including consideration of human biases •Theoretical analysis of EMO algorithms •New developments in collaborative and parallel EMO approaches: e.g. algorithm portfolios, divide-and-conquer methods, use of parallel and distributed hardware •New approaches to solving different multi-criterion problem classes: e.g. network topology problems, assignment problems, multidisciplinary optimization problems •New developments in related paradigms, e.g. ant colony optimization, particle swarm optimization, differential evolution, artificial immune systems, estimation of distribution algorithms, variable neighbourhood search, iterated local search, simulated annealing, Tabu search •New paradigms for population-based multi-criterion optimization •New benchmark problems, performance indicators, and methods for empirical analysis of EMO algorithms •Hybrid EMO-MCDM methodologies. MCDM Track Full papers are also invited for the integrated MCDM track on new developments in the multiple criteria decision making community that might be blended with EMO themes. Original research, tutorial and survey papers are welcome in this track. Real-World Applications Track Papers are invited from both within and outside the academy on real-world problems in government, business, industry and interdisciplinary sciences, whose solutions have benefited from the recent application of EMO or MCDM methods. Papers are also invited that address the issues that decision makers have in trusting formal approaches over their own experience and intuitions. 3¡¢Important dates Submission deadline£º2 September 2012 Notification of acceptance£º4 November 2012 Camera-ready submission£º2 December 2012 EMO 2013 conference£º19-22 March 2013 [ Last edited by sscheng51 on 2012-8-6 at 22:19 ] |
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