Cover Image

Faster Optimization Through Genetic Drift

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Florescu, Cella, Kaufmann, Marc, Lengler, Johannes, Schaller, Ulysse
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hardest Monotone Functions for Evolutionary Algorithms
by: Kaufmann, Marc, et al.
Published: (2023)

Plus Strategies are Exponentially Slower for Planted Optima of Random Height
by: Lengler, Johannes, et al.
Published: (2024)

OneMax is not the Easiest Function for Fitness Improvements
by: Kaufmann, Marc, et al.
Published: (2022)

Self-Adjusting Evolutionary Algorithms Are Slow on Multimodal Landscapes
by: Lengler, Johannes, et al.
Published: (2024)

Diversity-Preserving Exploitation of Crossover
by: Lengler, Johannes, et al.
Published: (2025)

Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions
by: Doerr, Carola, et al.
Published: (2023)

How Population Diversity Influences the Efficiency of Crossover
by: Cerf, Sacha, et al.
Published: (2024)

Uniform-in-time concentration in two-layer neural networks via transportation inequalities
by: Guillin, Arnaud, et al.
Published: (2026)

Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
by: Vermetten, Diederick, et al.
Published: (2024)

Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies
by: Templier, Paul, et al.
Published: (2024)

DelRec: learning delays in recurrent spiking neural networks
by: Queant, Alexandre, et al.
Published: (2025)

A Universal Framework for Large-Scale Multi-Objective Optimization Based on Particle Drift and Diffusion
by: Li, Jia-Cheng, et al.
Published: (2025)

Assortativity in geometric and scale-free networks
by: Kaufmann, Marc, et al.
Published: (2025)

Designing a Dataset for Convolutional Neural Networks to Predict Space Groups Consistent with Extinction Laws
by: Wang, Hao, et al.
Published: (2024)

A Lattice-based Method for Optimization in Continuous Spaces with Genetic Algorithms
by: Harris, Cameron D., et al.
Published: (2024)

A Genetic Algorithm for Optimizing Fantasy Football Trades with Playoff Biasing
by: Parshall, Evan, et al.
Published: (2025)

Optimized Architectures for Kolmogorov-Arnold Networks
by: Bagrow, James, et al.
Published: (2025)

Random is Faster than Systematic in Multi-Objective Local Search
by: Liang, Zimin, et al.
Published: (2026)

Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms
by: He, Jun, et al.
Published: (2023)

Addressing The Knapsack Challenge Through Cultural Algorithm Optimization
by: Vahdatpour, Mohammad Saleh
Published: (2023)

Coal Mine Safety Alert System: Refining BP Neural Network with Genetic Algorithm Optimization
by: Luo, Jiabin, et al.
Published: (2024)

Accelerating Black-Box Bilevel Optimization with Rank-Based Upper-Level Value Function Approximation
by: Ong, Marc, et al.
Published: (2026)

A Case Study on Evaluating Genetic Algorithms for Early Building Design Optimization: Comparison with Random and Grid Searches
by: Nazari, Farnaz, et al.
Published: (2025)

Winner-takes-all learners are geometry-aware conditional density estimators
by: Letzelter, Victor, et al.
Published: (2024)

Rethinking Selection in Generational Genetic Algorithms to Solve Combinatorial Optimization Problems: An Upper Bound-based Parent Selection Strategy for Recombination
by: Sankaran, Prashant, et al.
Published: (2024)

Is In-Context Universality Enough? MLPs are Also Universal In-Context
by: Kratsios, Anastasis, et al.
Published: (2025)

Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision System
by: Li, Anzhen, et al.
Published: (2025)

On The Nature Of The Phenotype In Tree Genetic Programming
by: Banzhaf, Wolfgang, et al.
Published: (2024)

On the Dynamics of Mating Preferences in Genetic Programming
by: Simões, José Maria, et al.
Published: (2025)

Asynchronous Distributed Genetic Algorithms with Javascript and JSON
by: Merelo, Juan Julián, et al.
Published: (2024)

Evaluating Genetic Algorithms through the Approximability Hierarchy
by: Muñoz, Alba, et al.
Published: (2024)

Transformer Semantic Genetic Programming for Symbolic Regression
by: Anthes, Philipp, et al.
Published: (2025)

Towards Faster k-Nearest-Neighbor Machine Translation
by: Shi, Xiangyu, et al.
Published: (2023)

Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming
by: Cui, Henning, et al.
Published: (2024)

Finding Strong Lottery Ticket Networks with Genetic Algorithms
by: Altmann, Philipp, et al.
Published: (2024)

Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm
by: Hamano, Ryoki, et al.
Published: (2024)

Untangling the Effects of Down-Sampling and Selection in Genetic Programming
by: Boldi, Ryan, et al.
Published: (2023)

Quality Diversity Genetic Programming for Learning Scheduling Heuristics
by: Xu, Meng, et al.
Published: (2025)

Evolving Financial Trading Strategies with Vectorial Genetic Programming
by: Menoita, Rui, et al.
Published: (2025)

Genetic Programming Theory and Practice: A Fifteen-Year Trajectory
by: Sipper, Moshe, et al.
Published: (2024)