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Evolutionary Algorithms

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Showing 201–250 of 1107 papers

TitleStatusHype
A synthetic biology approach for the design of genetic algorithms with bacterial agents—0
A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes—0
A Systematic Study on the Design of Odd-Sized Highly Nonlinear Boolean Functions via Evolutionary Algorithms—0
A Theoretical Assessment of Solution Quality in Evolutionary Algorithms for the Knapsack Problem—0
A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms—0
A Three-Phase Artificial Orcas Algorithm for Continuous and Discrete Problems—0
Achieving Tight O(4^k) Runtime Bounds on Jump_k by Proving that Genetic Algorithms Evolve Near-Maximal Population Diversity—0
A Tight Runtime Analysis for the cGA on Jump Functions---EDAs Can Cross Fitness Valleys at No Extra Cost—0
A Tight Runtime Analysis for the (μ+ λ) EA—0
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization—0
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems—0
A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration—0
A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification—0
Attribute-Efficient Evolvability of Linear Functions—0
A Two-stage Evolutionary Framework For Multi-objective Optimization—0
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference—0
A Parameterized Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms—0
Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic—0
An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization—0
Automatic inference of fault tree models via multi-objective evolutionary algorithms—0
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar—0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem—0
Autonomous Configuration of Network Parameters in Operating Systems using Evolutionary Algorithms—0
AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models—0
Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimization—0
Average Convergence Rate of Evolutionary Algorithms—0
Average Drift Analysis and Population Scalability—0
A Weight Adaptation Trigger Mechanism in Decomposition-based Evolutionary Multi-Objective Optimisation—0
AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming—0
Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization—0
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism—0
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization—0
Bayesian Decision Trees Inspired from Evolutionary Algorithms—0
An Effective and Efficient Evolutionary Algorithm for Many-Objective Optimization—0
A Parallel MOEA with Criterion-based Selection Applied to the Knapsack Problem—0
Benchmarking Differential Evolution on a Quantum Simulator—0
Benchmarking Evolutionary Algorithms For Single Objective Real-valued Constrained Optimization - A Critical Review—0
Benchmarking Meta-heuristic Optimization—0
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization—0
Benchmarking Surrogate-Assisted Genetic Recommender Systems—0
Better Runtime Guarantees Via Stochastic Domination—0
Beyond Evolutionary Algorithms for Search-based Software Engineering—0
Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing—0
An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals—0
Already Moderate Population Sizes Provably Yield Strong Robustness to Noise—0
BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models—0
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms—0
An electronic-game framework for evaluating coevolutionary algorithms—0
An Enhanced Binary Particle-Swarm Optimization (E-BPSO) Algorithm for Service Placement in Hybrid Cloud Platforms—0
A Parallel Evolutionary Multiple-Try Metropolis Markov Chain Monte Carlo Algorithm for Sampling Spatial Partitions—0
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