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DNA computing of solutions to knapsack problems.

, , , , и . Biosyst., 88 (1-2): 156-162 (2007)

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Book Review: Proceedings of the Fifth International Conference on Genetic Algorithms.. Evol. Comput., 2 (2): 181-191 (1994)Can Compact Optimisation Algorithms Be Structurally Biased?, , , и . PPSN (1), том 12269 из Lecture Notes in Computer Science, стр. 229-242. Springer, (2020)Evolutionary algorithms for real world applications Application Notes., , и . IEEE Comput. Intell. Mag., 3 (1): 64-67 (2008)Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance., , , и . IEEE Trans. Evol. Comput., 26 (6): 1526-1538 (2022)Cluster-based Kriging Approximation Algorithms for Complexity Reduction., , , , и . CoRR, (2017)Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control., , , и . CoRR, (2015)On the limitations of adaptive resampling in using the student's t-test evolution strategies., , и . GECCO (Companion), стр. 2649-2656. ACM, (2009)SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning., , и . CoRR, (2019)IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics., , , , и . CoRR, (2018)Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES., , и . Evol. Comput., 18 (1): 97-126 (2010)