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Evolutionary Algorithms

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TitleStatusHype
Evolutionary Multi-Armed Bandits with Genetic Thompson SamplingCode0
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization—0
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms—0
Towards a Stronger Theory for Permutation-based Evolutionary Algorithms—0
A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection for many-objective optimization—0
High-performance Evolutionary Algorithms for Online Neuron ControlCode0
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits—0
Hard Problems are Easier for Success-based Parameter Control—0
Neural Network Pruning by Cooperative Coevolution—0
The Compact Genetic Algorithm Struggles on Cliff Functions—0
Effective Mutation Rate Adaptation through Group Elite Selection—0
Distributed Evolution Strategies for Black-box Stochastic Optimization—0
Improving LSHADE by means of a pre-screening mechanismCode0
Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark ProblemsCode0
Automatic inference of fault tree models via multi-objective evolutionary algorithms—0
Novelty Driven Evolutionary Neural Architecture SearchCode0
Evolutionary Programmer: Autonomously Creating Path Planning Programs based on Evolutionary AlgorithmsCode0
Efficiently Evolving Swarm Behaviors Using Grammatical Evolution With PPA-style Behavior Trees—0
Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system—0
Focused Jump-and-Repair Constraint Handling for Fixed-Parameter Tractable Graph Problems Closed Under Induced Subgraphs—0
Rank-based Non-dominated SortingCode2
Intelligent Systematic Investment Agent: an ensemble of deep learning and evolutionary strategies—0
Are Evolutionary Algorithms Safe Optimizers?—0
Running Time Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) using Binary or Stochastic Tournament Selection—0
Non-Elitist Selection Can Improve the Performance of IraceCode0
Automated Formulaic Alpha Generation for Quantitative Investing using Evolutionary AlgorithmsCode3
Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEACode0
Pareto Optimization or Cascaded Weighted Sum: A Comparison of Concepts—0
Neural Architecture Search using Progressive EvolutionCode0
An Instance Space Analysis of Constrained Multi-Objective Optimization Problems—0
Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms—0
A Hardware-Aware System for Accelerating Deep Neural Network Optimization—0
Novel Metric based on Walsh Coefficients for measuring problem difficulty in Estimation of Distribution Algorithms—0
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings)—0
Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions—0
Modeling Strong Physically Unclonable Functions with Metaheuristics—0
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs—0
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm ConfigurationCode0
Heed the Noise in Performance Evaluations in Neural Architecture Search—0
COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid SolutionsCode0
Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming FrameworkCode1
Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision ProblemsCode0
Search Trajectories Networks of Multiobjective Evolutionary AlgorithmsCode0
Diversity Enhancement via Magnitude—0
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models—0
Evolutionary Action Selection for Gradient-based Policy Learning—0
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning—0
Training Quantized Deep Neural Networks via Cooperative CoevolutionCode1
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne—0
Towards automated optimisation of residual convolutional neural networks for electrocardiogram classification—0
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