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Evolutionary Algorithms

Papers

Showing 201–225 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
Bayesian Decision Trees Inspired from 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
A Parameterized Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms—0
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