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Landscape Properties of the 0-1 Knapsack Problem.

, and . GECCO (Companion), page 1343-1344. ACM, (2015)

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Rough set-BPSO model for predicting vitamin D deficiency in apparently healthy Kuwaiti women based on hair mineral analysis., , , and . Neural Comput. Appl., 29 (2): 329-344 (2018)Landscape Properties of the 0-1 Knapsack Problem., and . GECCO (Companion), page 1343-1344. ACM, (2015)Artificial Bee Colony training of neural networks: comparison with back-propagation., and . Memetic Computing, 6 (3): 171-182 (2014)Simple Random Sampling Estimation of the Number of Local Optima., and . PPSN, volume 9921 of Lecture Notes in Computer Science, page 932-941. Springer, (2016)Artificial Bee Colony Training of Neural Networks., and . NICSO, volume 512 of Studies in Computational Intelligence, page 191-201. Springer, (2013)Fitness landscape analysis of a class of NP-hard problems.. University of Birmingham, UK, (2017)British Library, EThOS.Voronoi-based archive sampling for robust optimisation., , , and . GECCO (Companion), page 249-250. ACM, (2018)Visualising the landscape of multi-objective problems using local optima networks., and . GECCO (Companion), page 1421-1429. ACM, (2019)Local Optima and Weight Distribution in the Number Partitioning Problem., and . PPSN, volume 8672 of Lecture Notes in Computer Science, page 862-871. Springer, (2014)Phase Transition and Landscape Properties of the Number Partitioning Problem., and . EvoCOP, volume 8600 of Lecture Notes in Computer Science, page 206-217. Springer, (2014)