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Evolutionary Algorithms

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TitleStatusHype
A mullti- or many- objective evolutionary algorithm with global loop update—0
Fast Artificial Immune Systems—0
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels—0
Fast Exact Computation of Expected HyperVolume Improvement—0
Fast Genetic Algorithm for feature selection -- A qualitative approximation approach—0
Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation—0
Discrepancy-based Evolutionary Diversity Optimization—0
Fast Pareto Optimization Using Sliding Window Selection—0
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization—0
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation—0
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit—0
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents—0
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization—0
A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters—0
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge—0
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function—0
Directed particle swarm optimization with Gaussian-process-based function forecasting—0
Diffusion Probabilistic Model Based Accurate and High-Degree-of-Freedom Metasurface Inverse Design—0
A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization—0
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling—0
Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation—0
A Melting Pot of Evolution and Learning—0
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit—0
Approximating Optimization Problems using EAs on Scale-Free Networks—0
Differential Evolution with Generalized Mutation Operator for Parameters Optimization in Gene Selection for Cancer Classification—0
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