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Techniques for highly multiobjective optimisation: some nondominated points are better than others., и . GECCO, стр. 773-780. ACM, (2007)Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting., и . EvoApplications (2), том 9598 из Lecture Notes in Computer Science, стр. 248-265. Springer, (2016)Local search for the probabilistic traveling salesman problem: Correction to the 2-p-opt and 1-shift algorithms., , и . Eur. J. Oper. Res., 162 (1): 206-219 (2005)Deep Optimisation: Transitioning the Scale of Evolutionary Search by Inducing and Searching in Deep Representations., , , , и . SN Comput. Sci., 3 (3): 253 (2022)Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031)., , , и . Dagstuhl Reports, 8 (1): 33-99 (2018)On Handling Ephemeral Resource Constraints in Evolutionary Search., и . Evol. Comput., 21 (3): 497-531 (2013)Local-search and hybrid evolutionary algorithms for Pareto optimization.. University of Reading, UK, (2002)British Library, EThOS.Expensive optimization with production-graph resource constraints: a first look at a new problem class., , , , , и . GECCO, стр. 840-848. ACM, (2022)Bounded archiving using the lebesgue measure., , и . IEEE Congress on Evolutionary Computation, стр. 2490-2497. IEEE, (2003)Some multiobjective optimizers are better than others., и . IEEE Congress on Evolutionary Computation, стр. 2506-2512. IEEE, (2003)