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Single- and multi-objective evolutionary algorithms for the knapsack problem with dynamically changing constraints.

, , and . Theor. Comput. Sci., (2022)

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Single- and multi-objective evolutionary algorithms for the knapsack problem with dynamically changing constraints., , and . Theor. Comput. Sci., (2022)Analysis of the (1+1) EA on LeadingOnes with Constraints., , , , and . CoRR, (2023)Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting., , , , and . CEC, page 1-10. IEEE, (2023)Evolutionary submodular optimisation: tutorial., , and . GECCO Companion, page 1427-1449. ACM, (2022)Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms., , and . GECCO, page 556-564. ACM, (2021)Diversifying greedy sampling and evolutionary diversity optimisation for constrained monotone submodular functions., , and . GECCO, page 261-269. ACM, (2021)Evolving Pictures in Image Transition Space., , , and . ICONIP (1), volume 11953 of Lecture Notes in Computer Science, page 679-690. Springer, (2019)Multi-objectiveness in the single-objective traveling thief problem., , , , and . GECCO (Companion), page 107-108. ACM, (2017)Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks., , , , , , and . GECCO, page 1436-1444. ACM, (2023)Evolutionary algorithms for the chance-constrained knapsack problem., , , , and . GECCO, page 338-346. ACM, (2019)