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09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round).

, , , , , , , , , , , , , and . Hybrid and Robust Approaches to Multiobjective Optimization, volume 09041 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2009)

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Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting., and . EvoApplications (2), volume 9598 of Lecture Notes in Computer Science, page 248-265. Springer, (2016)Techniques for highly multiobjective optimisation: some nondominated points are better than others., and . GECCO, page 773-780. ACM, (2007)On Handling Ephemeral Resource Constraints in Evolutionary Search., and . Evol. Comput., 21 (3): 497-531 (2013)Local search for the probabilistic traveling salesman problem: Correction to the 2-p-opt and 1-shift algorithms., , and . Eur. J. Oper. Res., 162 (1): 206-219 (2005)Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031)., , , and . Dagstuhl Reports, 8 (1): 33-99 (2018)Deep Optimisation: Transitioning the Scale of Evolutionary Search by Inducing and Searching in Deep Representations., , , , and . SN Comput. Sci., 3 (3): 253 (2022)A comparison of encodings and algorithms for multiobjective minimum spanning tree problems., and . CEC, page 544-551. IEEE, (2001)Some multiobjective optimizers are better than others., and . IEEE Congress on Evolutionary Computation, page 2506-2512. IEEE, (2003)Bounded archiving using the lebesgue measure., , and . IEEE Congress on Evolutionary Computation, page 2490-2497. IEEE, (2003)Local-search and hybrid evolutionary algorithms for Pareto optimization.. University of Reading, UK, (2002)British Library, EThOS.