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Evolutionary Algorithms

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TitleStatusHype
Multi-Objective Evolutionary Algorithms platform with support for flexible hybridization tools—0
Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions—0
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences—0
Multi-objective evolutionary algorithms for quantum circuit discovery—0
Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem—0
Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN—0
Multiobjective Evolutionary Component Effect on Algorithm behavior—0
Multi-Objective Evolutionary Framework for Non-linear System Identification: A Comprehensive Investigation—0
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview—0
Multi-Objective Optimisation of Damper Placement for Improved Seismic Response in Dynamically Similar Adjacent Buildings—0
Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization—0
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm—0
Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems—0
Multi-objective Pseudo Boolean Functions in Runtime Analysis: A Review—0
Multi-objective Test Case Selection Through Linkage Learning-based Crossover—0
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent—0
Multi-parameter Control for the (1+(λ,λ))-GA on OneMax via Deep Reinforcement Learning—0
Multiple-gain Estimation for Running Time of Evolutionary Combinatorial Optimization—0
Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point—0
Multiplicative Up-Drift—0
Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms—0
Multi-Space Evolutionary Search for Large-Scale Optimization—0
Multi-Task Learning on Networks—0
Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching—0
Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming—0
Multi-Value Alignment in Normative Multi-Agent System: Evolutionary Optimisation Approach—0
Natural Variational Annealing for Multimodal Optimization—0
Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms—0
Negatively Correlated Search—0
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level—0
Neural Architecture Search via Combinatorial Multi-Armed Bandit—0
Neural Network Pruning by Cooperative Coevolution—0
NeuroEvo: A Cloud-based Platform for Automated Design and Training of Neural Networks using Evolutionary and Particle Swarm Algorithms—0
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression—0
Neuro-evolutionary Frameworks for Generalized Learning Agents—0
Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles—0
Neuroevolution in Deep Learning: The Role of Neutrality—0
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges—0
Neuroevolution in Games: State of the Art and Open Challenges—0
NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming—0
NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks—0
New Approach for Solving The Clustered Shortest-Path Tree Problem Based on Reducing The Search Space of Evolutionary Algorithm—0
New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems—0
NodIO, a JavaScript framework for volunteer-based evolutionary algorithms : first results—0
Noise Cancellation in Cognitive Radio Systems: A Performance Comparison of Evolutionary Algorithms—0
Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results—0
Novel Analysis of Population Scalability in Evolutionary Algorithms—0
Novel Metric based on Walsh Coefficients for measuring problem difficulty in Estimation of Distribution Algorithms—0
Observing the Population Dynamics in GE by means of the Intrinsic Dimension—0
Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates—0
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