Evolutionary Optimization

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19 papers in the last four weeks, up 90% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 193

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LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms
Jul 6, 2026Georgios Laskaris, Reuben Brasher, Niki van Stein +3Automated Algorithm Discovery Evolutionary Optimization
Terra Quantum AG, Kornhausstrasse 25, 9000 St. Gallen, Switzerland · LIACS, Leiden University, Leiden, Netherlands
Dictionaries, Not Darwin: Set-Level Selection Beats LLM Evolution in Scientific Equation Discovery
Jul 5, 2026Pan LiEvolutionary Optimization Scientific Discovery
Independent Researcher
EvoOtter: Evolutionary Reproduction Test Generator
Jul 3, 2026Toufique Ahmed, Jatin Ganhotra, Avraham Shinnar +1Evolutionary Optimization LLM-Based Program Synthesis
IBM
Evolutionary Wave Function Collapse
Jul 2, 2026Dipika Rajesh, Ahmed Khalifa, Julian TogeliusEvolutionary Optimization Procedural Content Generation
UC Santa Cruz Santa Cruz, USA · University of Malta Msida, Malta · New York University New York, USA
Population-Based Multi-Objective Training of Discriminators for Semi-Supervised GANs
Jul 2, 2026Francisco Sedeño, Francisco Chicano, Jamal ToutouhEvolutionary Optimization Semi-Supervised Learning
ITIS Software, University of Malaga Malaga, Spain · CSAIL MIT, Cambridge, MA, USA
Novelty Search with Cross-Task Collaborative Discovery
Jul 1, 2026Jiao Liu, Yanchi Li, Hua Yu +2Novelty Search Evolutionary Optimization
College of Computing & Data Science, Nanyang Technological University, Singapore · School of Computer Science, China University of Geosciences · School of Intelligent Rail Transportation, Dalian Jiaotong University +1
Why can genetic algorithms work in high-dimensional search spaces?
Jun 29, 2026Stephen WhitelamEvolutionary Optimization Gradient Descent Dynamics
Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
Semantics-Aware Bilevel Co-Evolution: Towards Automated Multicomponent Algorithm Design
Jun 29, 2026Zhiyao Zhang, Shenghao Wu, Xingyu Wu +1Automated Algorithm Discovery Evolutionary Optimization
Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China · College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks
Jun 27, 2026Young-Jun Lee, Seungone Kim, Minki Kang +5Supervised Fine-Tuning Evolutionary Optimization
University of Minnesota · Carnegie Mellon University · KAIST +3
Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution
Jun 26, 2026Xin-She Yang, Mehmet KaramanogluExploration-Exploitation Tradeoff Evolutionary Optimization
Faculty of Science and Technology, Middlesex University, The Burroughs, London NW4 4BT, United Kingdom.
DE-2LS: Differential Evolution with Lightweight Late Local Search for Constrained Numerical Optimization
Jun 26, 2026Dikshit Chauhan, Anupam TrivediDifferential Evolution Evolutionary Optimization
Department of Electrical and Computer Engineering, National University of Singapore
DE-2LS: Differential Evolution with Late-Stage local-search for Unconstrained Single-Objective Numerical Optimization
Jun 26, 2026Dikshit ChauhanDifferential Evolution Evolutionary Optimization
Department of Electrical and Computer Engineering, National University of Singapore
Random Walk on Bézier Curves for Global Optimization
Jun 25, 2026Jinpeng Wang, Xingguo Xu, Yujing Sun +3Stochastic Optimization Evolutionary Optimization
aSchool of Computer Science, Northwestern Polytechnical University, Xi’an, 710129, China · bSchool of Mathematical Sciences, Dalian University of Technology, Dalian, 116024, China · cSchool of Mathematics, Hefei University of Technology, Hefei, 230601, China +3
The Red Queen Gödel Machine: Co-Evolving Agents and Their Evaluators
Jun 24, 2026Alex Iacob, Andrej Jovanović, William F. Shen +10Evolutionary Optimization AI Agent Evaluation
University of Cambridge · 3Flower Labs · 2NVIDIA +2
Bridging Spherical Black-Box Optimizers
Jun 24, 2026Johannes Ackermann, Stefano PeluchettiEvolutionary Optimization Black-Box Optimization
The University of Tokyo · Sakana AI
Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Spatiotemporal Chaos
Jun 22, 2026Nima DehghaniEvolutionary Optimization Reservoir Computing
Department of Physics, MIT · McGovern Institute for Brain Research, MIT
SurGE: Surrogate Gradient-guided Evolution for Co-design of Legged Robots with Parallel Elasticity
Jun 20, 2026Yulun Zhuang, Yue Qin, Justin Lu +4Legged Robotics Surrogate-Assisted Optimization
Department of Robotics, University of Michigan, Ann Arbor, MI 48109, USA · Department of Mechanical and Aerospace Engineering, University of Tennessee, Knoxville, TN 37996, USA
On the Use of Survival Selection Methods for Evolutionary Diversity Optimisation
Jun 19, 2026Adel Nikfarjam, Jakob Bossek, Aneta Neumann +1Evolutionary Optimization Quality-Diversity Optimization
Optimisation and Logistics School of Computer Science Adelaide University · Department of Computer Science Machine Learning and Optimisation Paderborn University
Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticity
Jun 18, 2026Shishen Lin, Yixin ChenRL Control Evolutionary Optimization
Department of Statistics, University of Warwick, Coventry, United Kingdom · 2Biozentrum, University of Basel, Basel, Switzerland
Evolutionary Two-Stage Hyperparameter Optimization Strategies for Physics-Informed Neural Networks
Jun 18, 2026Fedor Buzaev, Dmitry Efremenko, Egor Bugaev +4Multi-Fidelity Optimization Evolutionary Optimization
HSE University · 1HSE University · AXXX +1
Residual-Space Evolutionary Optimization via Flow-based Generative Models
Jun 18, 2026Zhuo Cao, Lena Krieger, Fernanda Nader +3Evolutionary Optimization Causal Counterfactual Generation
IAS-8, Forschungszentrum Jülich, Germany · LMU Munich, Munich Center for Machine Learning (MCML), Germany · Department of Computer Science, Aarhus University, Denmark.
Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient
Jun 18, 2026Yutaro Yamada, Kento Uchida, Shinichi ShirakawaEvolutionary Optimization Black-Box Optimization
Yokohama National University, Kanagawa, Japan
Model Merging to Evolution: Parameter Space Exploration for Expert Models
Jun 17, 2026Chao Wang, Yuchen Guo, Zheng Tan +4Evolutionary Optimization Evolution 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
Constraint-aware Optimization in Auto-Tuning
Jun 17, 2026Floris-Jan Willemsen, Stijn Heldens, Rob V. van Nieuwpoort +1Differential Evolution Evolutionary Optimization
LIACS, Leiden University, the Netherlands · Netherlands eScience Center, Amsterdam, the Netherlands
REFLEX: Reflective Evolution from LLM Experience
Jun 15, 2026Pan WangEvolutionary Optimization Large Language Model-Guided Optimization
University of Science and Technology of China, China.
MSC-CMA-ES: Structure-Aware Restarts for CMA-ES via Cyclic Nearest-Better Basin Discovery
Jun 14, 2026Dimitar Nedanovski, Svetoslav Nenov, Dimitar PilevEvolutionary Optimization Covariance Matrix Adaptation Evolution Strategy
Faculty of Mathematics and Informatics Sofia University St. Kliment Ohridski James Baucher Blvd., 1164 Sofia, Bulgaria · Department of Mathematics University of Chemical Technology and Metallurgy Sofia, Bulgaria · Department of Informatics University of Chemical Technology and Metallurgy Sofia, Bulgaria
Large Language Model-Driven Cooperative Operator Ensemble Evolution for Permutation Flow Shop Scheduling
Jun 13, 2026Rui Xu, Yufan Liao, Haoze Lv +3Evolutionary Optimization Metaheuristic Optimization
School of Business, Hohai University, Nanjing 211100, China · Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China · School of Engineering and Computer Science, Victoria University of Wellington, Wellington 6140, New Zealand
Comparison Patrols on Drifting Orders: Certified Rank Maintenance, Evolving Planar Maxima, and Selection under Drifting Fitness
Jun 12, 2026Faruk Alpay, Levent SariogluPairwise Comparison Evolutionary Optimization
Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey
Directing Open-Ended Evolution in Artificial Life via Multi-Scale Path Divergence
Jun 12, 2026Mikhail Akhtyrchenko, Mikhail I. Katsnelson, Andrey UstyuzhaninArtificial Life Evolutionary Optimization
1Constructor University, Bremen, Germany. · 2Constructor Knowledge Labs, Bremen, Germany. · Institute for Molecules and Materials, Radboud University, Nijmegen, Netherlands. +1
ZIVARI-TLBO: A Zero-Cost Inter-Group Evaluated-Elite Relay Mechanism for Teaching-Learning-Based Optimization
Jun 12, 2026Pezhman ZivariEvolutionary Optimization Metaheuristic Optimization
Independent Researcher, Istanbul, Türkiye
Operator Calculus for Population-Based Optimization: Modular Convergence and Finite-Population Guarantees
Jun 12, 2026Pekka Malo, Lauri Viitasaari, Patrik Nummi +3Evolutionary Optimization Optimization Convergence Analysis
Aalto University, Department of Information and Service Management, Finland. · Aalto University, Department of Information and Communications Engineering, Finland. · Indian Institute of Management Ahmedabad, Operations and Decision Sciences, India. +1
MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design
Jun 12, 2026Zishang Qiu, Xinan Chen, Rong Qu +1Automated Heuristic Design Evolutionary Optimization
School of Computer Science, University of Nottingham Ningbo China, Ningbo, China · School of Computer Science, University of Nottingham, Nottingham, UK
Co-Evolved Spiking Neural Network Ensembles via Marginal Contribution Fitness
Jun 12, 2026Catherine Rodriquez, James GhawalyEvolutionary Optimization Ensemble Learning
Louisiana State University Baton Rouge, Louisiana, USA
The $(1 + 1)$ -EA in Dynamic Environments
Jun 11, 2026Georg Hasebe, Johannes Lengler, Raghu Raman RaviEvolutionary Optimization Black-Box Optimization
Eidgenössische Technische Hochschule Zürich, Switzerland
Improved Runtime Bound for the $(μ+ 1)$ EA on BinVal
Jun 11, 2026Joris Belder, Johannes Lengler, Raghu Raman RaviEvolutionary Optimization Black-Box Optimization
ETH Zürich, Switzerland
Runtime Analysis of the $(μ+ 1)$ -ES in a Homogenous Progress Model
Jun 11, 2026Johannes Lengler, Raghu Raman RaviEvolutionary Optimization Evolution Strategies
Eidgenössische Technische Hochschule Zürich, Switzerland
SPEA2 $^+$ : Improved Density Estimation in SPEA2 with Provable Runtime Guarantees
Jun 10, 2026Duc-Cuong Dang, Andre Opris, Dirk SudholtEvolutionary Optimization Multi-Objective Evolutionary Optimization
University of Passau, Passau, Germany
APEX: Automated Prompt Engineering eXpert with Dynamic Data Selection
Jun 9, 2026Fei Wang, Si Si, Cho-Jui Hsieh +1Evolutionary Optimization LLM Prompting
Google · UCLA
Generation of Diverse and Functional Robot Designs using Superquadrics Parametrisation and Quality-Diversity
Jun 9, 2026Leni Le Goff, Simon Smith, Emma HartEvolutionary Optimization Robotics
Edinburgh Napier University, Scotland UK
Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games
Jun 9, 2026Haoran Li, Zengle Ge, Ziyang Zhang +10Game-Playing Agents Evolutionary Optimization
University of Chinese Academy of Sciences · Famou Agent Team, Baidu AI Cloud · The University of Sydney, Australia +3
Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning
Jun 8, 2026Tai Nguyen, Phong Le, Carola Doerr +1Evolutionary Optimization Deep Q-Learning
University of St Andrews, St Andrews, United Kingdom · Sorbonne Universit´e, CNRS, LIP6, Paris, France
Quality-Diversity Search in Sound Generation: Investigating Innovation Engines for Audio Exploration
Jun 8, 2026Björn Þór Jónsson, Çağrı Erdem, Stefano Fasciani +1Evolutionary Optimization Quality-Diversity Optimization
1*Department of Informatics, University of Oslo, Norway. · Department of Musicology, University of Oslo, Norway.
Quantitative Performance Analysis of Stopping Criteria for CMA-ES
Jun 8, 2026Ryoji TanabeEarly Stopping Evolutionary Optimization
Yokohama National University, Yokohama, Japan
Gray-Box Optimization and the Vertex Coloring Problem
Jun 6, 2026Johanna Gasse, Antonia Heinen, Hendrik Higl +1Evolutionary Optimization Metaheuristic Optimization
Hasso Plattner Institute University of Potsdam Potsdam, Germany
Rapid co-design of Buoyancy-assisted robots for Challenging Locomotion using Gaussian Evolutionary Specialists
Jun 5, 2026Ankit Sinha, Nitish Sontakke, Dennis Hong +2Legged Robotics Robot Morphology-Control Co-Design
School of Interactive Computing, Georgia Institute of Technology, TSRB 85 5th St NW, Atlanta, GA - 30332, USA · Dept. of Mechanical and Aerospace Engineering, University of California, Los Angeles, 420 Westwood Plaza, CA 90095, USA · Robotic Systems Lab, ETH Zurich, Leonhardstrasse 21, 8092 Zurich, Switzerland
MotionDisco: Motion Discovery for Extreme Humanoid Loco-Manipulation
Jun 4, 2026Ilyass Taouil, Michal Ciebelski, Shafeef Omar +4Humanoid Loco-Manipulation Long-Horizon Robotic Manipulation
Technical University of Munich, Germany · New York University, USA · Carnegie Mellon University, USA
Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies
Jun 4, 2026Sichen Wang, Zhipeng LuEvolutionary Optimization Black-Box Optimization
Department of Engineering, Shenzhen MSU-BIT University, Shenzhen, China · Guangdong Laboratory of Machine Perception and Intelligent Computing, Shenzhen, China
Seq103: A Unified Neuroevolution Framework for Compact Sequence Architecture Discovery
Jun 3, 2026Wenxiao Li, Yongjian Liu, Qing XieEvolutionary Optimization Time Series Classification
School of Computer Science and Artificial Intelligence, Wuhan University of Technology, No. 122 Luoshi Road, Hongshan District, Wuhan, 430070, Hubei, China
LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization
May 30, 2026Mingen Kuang, Xudong Deng, Xi Lin +3Automated Heuristic Design Evolutionary Optimization
Xi’an Jiao Tong University · Northwestern Polytechnical University
EvoDefense: Co-Evolving Black-Box Defense with Large Language Models
May 29, 2026Yu Li, Yuenan Hou, Yingmei Wei +2Evolutionary Optimization Adversarial Attacks on LLMs
National University of Defense Technology · Shanghai AI Laboratory
Learning to Solve and Optimize by Evolving Code
May 29, 2026Veronika Semmelrock, Benedetta Strizzolo, Francesco Zuccato +3Automated Algorithm Discovery Evolutionary Optimization
University of Klagenfurt, Austria · University of Udine, Italy
GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis
May 29, 2026Jasper Post, Johannes Koch, Anton Bouter +2GPU Acceleration Evolutionary Optimization
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands · Delft University of Technology, Delft, The Netherlands · Leiden University Medical Center, Leiden, The Netherlands
Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies
May 28, 2026Kajetan Schweighofer, Conor F. Hayes, Roberto Dailey +2Continual Learning for LLMs Evolutionary Optimization
Cognizant AI Lab · UT Austin & Cognizant AI Lab
Runtime Analysis of a Compact Genetic Algorithm on a Truly Multi-valued OneMax Function
May 28, 2026Martin S. Krejca, Carsten WittStochastic Optimization Evolutionary Optimization
Laboratoire d’Informatique (LIX), CNRS, École Polytechnique, IP Paris, France · DTU Compute, Technical University of Denmark, Denmark
EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization
May 28, 2026Tao Jiang, Xinmeng Yu, Chenhao Yi +5Evolutionary Optimization Language Model Merging
Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology · Pengcheng Laboratory · University of Chinese Academy of Sciences +4
Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits
May 28, 2026Sixue Xing, Haoyu He, Kerui Wu +4Multi-Armed Bandits Evolutionary Optimization
University of Notre Dame · 2Northeastern University · University of Massachusetts Amherst +4
Self-Improving Language Models with Bidirectional Evolutionary Search
May 27, 2026Guowei Xu, Zhenting Qi, Huangyuan Su +4Evolutionary Optimization LLM Planning
1Harvard University · 2MIT
A Fresh Look at Lamarckian Evolution and the Baldwin Effect
May 27, 2026Inès Benito, Johannes F. Lutzeyer, Benjamin DoerrEvolutionary Optimization Combinatorial Optimization
Laboratoire d’Informatique (LIX), CNRS, École Polytechnique, Institut Polytechnique de Paris, France
Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization
May 27, 2026Helena Stegherr, Michael Heider, Nils Meyer +7Explainable Artificial Intelligence Evolutionary Optimization
Universität Augsburg, Germany · Universität Augsburg, Augsburg, Germany
TCP-MCP: Landscape-Guided Co-Evolution of Prompts and Communication Topologies for Multi-Agent Systems
May 27, 2026Yi Ding, Zijie Xuan, Haowei Zhou +6Multi-Agent LLM Systems Multi-Agent System Optimization
National Institute of Metrology, China · University of California, Berkeley · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences +5

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LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms

Georgios Laskaris, Reuben Brasher, Niki van Stein, Elena Raponi+2

Terra Quantum AG, Kornhausstrasse 25, 9000 St. Gallen, Switzerland · LIACS, Leiden University, Leiden, Netherlands

Automated Algorithm Discovery Evolutionary Optimization Bayesian Optimization Large Language Model-Guided Optimization

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Designing effective multi-objective Bayesian optimization (MOBO) algorithms requires balancing many interdependent design choices whose optimal configuration is problem-dependent and typically demands deep expertise. We extend the LLaMEA framework to MOBO, using large language models as mutation and crossover operators within evolutionary strategies to generate complete algorithm implementations, with SMAC hyperparameter optimization integrated into the evolutionary loop. Across nine evolutionary runs we generated approximately 900 algorithms and benchmarked them on twelve synthetic problems (ZDT, DTLZ, WFG) and three real-world engineering problems (RE), using a BoFire qParEGO implementation as a state-of-the-art Bayesian-optimization baseline. On the synthetic suite the strongest generated algorithm attains the highest mean normalized hypervolume (0.971, vs. 0.869 for qParEGO) while requiring roughly 60x less wall-clock time; a Friedman test with post-hoc analysis places the two in a single top-performing group, and per-problem tests find the generated algorithm significantly better than qParEGO on 7 of the 12 problems and never worse, matching state-of-the-art accuracy at an order-of-magnitude lower cost. On the three unseen real-world engineering problems a generated algorithm attains the best mean normalized hypervolume (0.985, vs. 0.971 for qParEGO)--significantly better than qParEGO on two of the three problems--at roughly 3.4x lower wall-clock cost, confirming that the gains transfer beyond the synthetic regime. LLM-driven evolutionary search can thus discover algorithm designs that achieve Pareto-efficient trade-offs difficult to reach through manual design.

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