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Multi-objectiveness in the single-objective traveling thief problem.

, , , , and . GECCO (Companion), page 107-108. ACM, (2017)

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Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems., , and . CoRR, (2020)Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings., , , , , and . CoRR, (2019)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)Advanced Ore Mine Optimisation under Uncertainty Using Evolution., , , and . CoRR, (2021)Evolutionary Multi-Objective Algorithms for the Knapsack Problems with Stochastic Profits., , and . CoRR, (2023)Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems., , , 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)Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks., , , , , , and . GECCO, page 1436-1444. ACM, (2023)