runtime analysis

From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms JMLR 2023 Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems NeurIPS 2023 Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise IJCAI 2023 Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover AAAI 2023 Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms IJCAI 2023 A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) AAAI 2022 A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems IJCAI 2021 Choosing the Right Algorithm With Hints From Complexity Theory IJCAI 2021 Escaping Local Optima with Non-Elitist Evolutionary Algorithms AAAI 2021 Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives AAAI 2021 How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics AAAI 2020 Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework AAAI 2020 Evolving Solutions to Community-Structured Satisfiability Formulas AAAI 2019 On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019 Plug-and-Play Dual-Tree Algorithm Runtime Analysis JMLR 2015 Using More Data to Speed-up Training Time AISTATS 2012