Evolution Strategies

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4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28
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Latest papers 23

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  1. The Modular CMA-ES: A Framework for Modern Evolution Strategies

    Oct 7, 2026Jacob de Nobel, Diederick Vermetten, Anna V. Kononova +2Evolution StrategiesCovariance Matrix Adaptation Evolution Strategy

  2. DP-ES: Differentially Private Evolution Strategies for Prompt Optimization

    Oct 5, 2026Ziniu Liu, Aiping Li, Yue Han +5Large Language Model-Guided OptimizationEvolution Strategies

    National University of Defense Technology · CRRC Zhuzhou Electric Locomotive Research Institute Co., Ltd., China Academy of Railway Sciences

  3. Continual Reinforcement Learning with Neuroevolution

    Oct 1, 2026Eleni Nisioti, Andrea Cossu, Kathrin Korte +1Stability-Plasticity DilemmaLoss of Plasticity

    IT University of Copenhagen · University of Pisa · Sakana AI

  4. Online Evolution Strategy for Flow-Matching VLA Policies via Self-Supervised Trajectory Distribution Optimization

    Sep 30, 2026Gongxin Yao, Yongsheng Zhao, Jiayin Deng +4Flow MatchingEvolution Strategies

    China Mobile (Hangzhou) Information Technology Co., Ltd., Hangzhou, 311121, China

  5. Hill Sampling for Test-Time Scaling: A Simple and Better Alternative to Repeated Sampling, Evolution, and Training

    Sep 22, 2026Jacob Beck, Philip V. Ogren, Ari KobrenInference-Time SearchEvolution Strategies

    Oracle

  6. EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale

    Sep 12, 2026Ege C. Kaya, Abolfazl HashemiEvolutionary OptimizationEvolution Strategies

    Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA

  7. Flawed in Nature, Perfect through Evolution

    Aug 31, 2026J. M. Diederik KruijssenEvolution StrategiesAdaptive Learning

    Allora Foundation

  8. Beyond the Best Guess: Improving LLM Solution Coverage with Evolution Strategies

    Aug 13, 2026Conor F. Hayes, Elliot Meyerson, Kajetan Schweighofer +4Evolution StrategiesLLM Post-Training

    1Cognizant AI Lab, San Francisco · 2The University of Texas at Austin, Austin

  9. Cooperative Coevolution for Resource-Constrained Agentic LLM Post-Training

    Aug 3, 2026Zhiyuan Wang, Shengcai Liu, Jiahao Wu +5Evolutionary OptimizationEvolution Strategies

    Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology · Hong Kong Polytechnic University · Hong Kong University of Science and Technology +2

  10. Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input

    Aug 3, 2026So Nakashima, Tetsuya J. KobayashiStochastic OptimizationEvolution Strategies

    Institute of Industrial Science The University of Tokyo · Institute of Industrial Science, The University of Tokyo · Universal Biology Institute, The University of Tokyo

  11. Neural Operator-enabled Topology-informed Evolutionary Strategy for PDE-Constrained Optimization

    Jul 8, 2026Xiangming Huang, Guannan Zhang, Lu Lu +1Evolution StrategiesConstrained Optimization

  12. Bridging Spherical Black-Box Optimizers

    Jun 24, 2026Johannes Ackermann, Stefano PeluchettiEvolutionary OptimizationBlack-Box Optimization

    The University of Tokyo · Sakana AI

  13. Model Merging to Evolution: Parameter Space Exploration for Expert Models

    Jun 17, 2026Chao Wang, Yuchen Guo, Zheng Tan +4Evolutionary OptimizationEvolution Strategies

    School of Artificial Intelligence, Xidian University, Xi’an, China · School of Computer Science, University of Birmingham, Birmingham, UK · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China +3

  14. Runtime Analysis of the (μ+1)(μ+ 1)-ES in a Homogenous Progress Model

    Jun 11, 2026Johannes Lengler, Raghu Raman RaviEvolutionary OptimizationEvolution Strategies

    Eidgenössische Technische Hochschule Zürich, Switzerland

  15. Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games

    Jun 9, 2026Haoran Li, Zengle Ge, Ziyang Zhang +10Game-Playing AgentsEvolutionary Optimization

    University of Chinese Academy of Sciences · Famou Agent Team, Baidu AI Cloud · The University of Sydney, Australia +3

  16. Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies

    Jun 4, 2026Sichen Wang, Zhipeng LuEvolutionary OptimizationBlack-Box Optimization

    Department of Engineering, Shenzhen MSU-BIT University, Shenzhen, China · Guangdong Laboratory of Machine Perception and Intelligent Computing, Shenzhen, China

  17. Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies

    May 28, 2026Kajetan Schweighofer, Conor F. Hayes, Roberto Dailey +2Continual Learning for LLMsEvolutionary Optimization

    Cognizant AI Lab · UT Austin & Cognizant AI Lab

  18. Convergence Analysis of Evolution Strategies for Mixed-Integer Optimization

    May 20, 2026Ryoki Hamano, Kento Uchida, Shinichi ShirakawaEvolutionary OptimizationEvolution Strategies

    CyberAgent · Yokohama National University

  19. From Mean-Field Limits to Semiclassical Concentration: Global Convergence of the Canonical Evolutionary Strategy

    May 19, 2026Matías Neto, Nicolás Garay, Luis Martí +1Dynamical SystemsEvolutionary Optimization

    Inria Chile Research Center, Av Apoquindo 2827, Las Condes, RM, Chile · Departamento de Ingeniería Matemática, Universidad de Chile, Santiago, Chile

  20. Gradient-Free Training of Spiking Neural Networks via Low-Rank Evolution Strategies

    May 14, 2026Dhruv Patankar, Sachit Ramesha GowdaEvolutionary OptimizationEvolution Strategies

    Shunya Research

  21. RCMAES: A Robust CMA-ES Variant for CEC2026 Competition

    Apr 29, 2026Khoirul Faiq Muzakka, Sören Möller, Martin FinsterbuschEvolutionary OptimizationBlack-Box Optimization

    Institute of Energy Materials and Devices (IMD-2), Forschungszentrum Jülich GmbH, Germany

  22. Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

    Sep 29, 2025Xin Qiu, Yulu Gan, Conor F. Hayes +6Fine-TuningEvolutionary Optimization

    Cognizant AI Lab, San Francisco, CA, USA · Massachusetts Institute of Technology, Cambridge, MA, USA · University of California, Los Angeles, Los Angeles, CA, USA +1

  23. ESSA: Evolutionary Strategies for Scalable Alignment

    Jul 6, 2025Daria Korotyshova, Boris Shaposhnikov, Alexey Malakhov +7LLM AlignmentEvolutionary Optimization

    T-Tech · Yandex