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Evolutionary Algorithms

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Showing 751–800 of 1107 papers

TitleStatusHype
Learning Opposites Using Neural Networks—0
Learning Opposites with Evolving Rules—0
Learning to Transfer for Evolutionary Multitasking—0
Level-based Analysis of Genetic Algorithms and other Search Processes—0
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection—0
Leveraging Evolutionary Search to Discover Self-Adaptive and Self-Organizing Cellular Automata—0
Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation—0
Limit-behavior of a hybrid evolutionary algorithm for the Hasofer-Lind reliability index problem—0
Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution—0
Linear representation of categorical values—0
Combining Lipschitz and RBF Surrogate Models for High-dimensional Computationally Expensive Problems—0
LLM-guided Chemical Process Optimization with a Multi-Agent Approach—0
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection—0
Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential—0
Long-Term Progress and Behavior Complexification in Competitive Co-Evolution—0
Look into the Mirror: Evolving Self-Dual Bent Boolean Functions—0
Lower Bounds for Non-Elitist Evolutionary Algorithms via Negative Multiplicative Drift—0
Lower Bounds from Fitness Levels Made Easy—0
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization—0
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks—0
Massively-concurrent Agent-based Evolutionary Computing—0
Maximizing Submodular or Monotone Approximately Submodular Functions by Multi-objective Evolutionary Algorithms—0
Maximizing Submodular or Monotone Functions under Partition Matroid Constraints by Multi-objective Evolutionary Algorithms—0
Memetic Algorithms Beat Evolutionary Algorithms on the Class of Hurdle Problems—0
Memetic Search in Differential Evolution Algorithm—0
Memetic Viability Evolution for Constrained Optimization—0
Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research—0
Mimicking Evolution with Reinforcement Learning—0
Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms—0
Mixed Strategy May Outperform Pure Strategy: An Initial Study—0
MMD-Newton Method for Multi-objective Optimization—0
MOANA: Multi-Objective Ant Nesting Algorithm for Optimization Problems—0
Model-Based Quality-Diversity Search for Efficient Robot Learning—0
Modeling browser-based distributed evolutionary computation systems—0
Modeling epigenetic evolutionary algorithms: An approach based on the epigenetic regulation process—0
Modeling Strong Physically Unclonable Functions with Metaheuristics—0
Modelling Cyber-Security Experts' Decision Making Processes using Aggregation Operators—0
MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems—0
MONO2REST: Identifying and Exposing Microservices: a Reusable RESTification Approach—0
Monotonicity of Fitness Landscapes and Mutation Rate Control—0
More Effective Randomized Search Heuristics for Graph Coloring Through Dynamic Optimization—0
mpEAd: Multi-Population EA Diagrams—0
Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing—0
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality—0
Multimodal Optimization with k-Cluster Big Bang-Big Crunch Algorithm and Postprocessing Methods for Identification and Quantification of Optima—0
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches—0
Multi-Objective Algorithms for Learning Open-Ended Robotic Problems—0
Multi-objective analysis of computational models—0
Multi-objective design of quantum circuits using genetic programming—0
Multi-objective Differential Evolution with Helper Functions for Constrained Optimization—0
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