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.

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Latest papers 196

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EvoSignal: LLM-Guided Evolutionary Design of Modular Traffic Signal Control Programs
Oct 7, 2026Leizhen Wang, Peibo Duan, Zhenlin Qin +5Traffic Signal Control Automated Heuristic Design
Monash University · KTH Royal Institute of Technology · Chinese Academy of Sciences +2
Discovered, Not Designed: Population Evolution for Collaborative and Compute-Intensive Model Discovery
Oct 5, 2026Bo Peng, Lizhu Zhang, Yuhang Zhou +5Automated Algorithm Discovery Evolutionary Optimization
Meta
VideoEvolve: Evolving Agent Harnesses for Video Temporal Grounding
Oct 1, 2026Bingjun Luo, Yuhuan Fan, Jialin Guo +1Temporal Video Grounding Evolutionary Optimization
Tsinghua University · Columbia University · Harbin Engineering University
LESS: Lightweight Evolutionary Supernet Search in Minutes
Oct 1, 2026Aviral Gandhi, Jinglue Xu, Jialong Li +1Evolutionary Optimization Covariance Matrix Adaptation Evolution Strategy
The University of Tokyo · Sakana AI · Waseda University
Self-Evolving Coding Rules for AI Coding Agents
Sep 30, 2026Zhengyuan Jiang, Reachal Wang, Yuepeng Hu +3Evolutionary Optimization Coding Agents
Duke University
Growing an Agent/Prover Interface: Evolutionary Tool Design for Cost-Efficient Theorem Proving in Rocq and Lean
Sep 30, 2026Jules Viennot, Guillaume Baudart, Marc LelargeAutomated Theorem Proving Evolutionary Optimization
IRIF, Universit´e Paris Cit´e, Inria, CNRS · DI ENS, PSL University, Inria
An Island-Based Parallel Biased Random-Key Genetic Algorithm for the Three-Dimensional Trailer Loading Problem
Sep 30, 2026A. del Río, L. Díaz, L. C. de Vicente +2Evolutionary Optimization Combinatorial Optimization
Intelligent Systems Department Gradiant Vigo, Spain
MILO: Automated Harness Discovery via Orchestrated Multi-Agent Evolution
Sep 29, 2026Prithwish Jana, Mononito Goswami, Hao Liu +9Multi-Agent Orchestration Evolutionary Optimization
Georgia Institute of Technology · AWS AI Labs · Carnegie Mellon University +1
HeurEvo: Agentic Evolution of Hybrid Solver-Augmented Heuristics for Time-Critical Mathematical Optimization
Sep 28, 2026Feijie Wu, Hugo Barbalho, Konstantina Mellou +5Automated Algorithm Discovery Automated Heuristic Design
Purdue University · Microsoft Research
CMDO: A Cognitive Memory-Driven Optimization Algorithm for Adaptive Population-Based Search
Sep 28, 2026Mohammed Yusuf Mujawar, Shahram Rahimi, Noorbakhsh Amiri GolilarzEvolutionary Optimization Black-Box Optimization
Department of Computer Science The University of Alabama, AL, USA
EvE: An Alternate Optimizer to Adam
Sep 28, 2026Shashank Raj, Kalyanmoy DebDeep Learning Optimization Differential Evolution
Department of Computer Science The University of Alabama Tuscaloosa, AL 35487, USA
Towards Certificate-Driven Software Porting: A Self-Improving Agentic Harness for Scientific Program Optimization
Sep 28, 2026Piyush Jha, Aishik Ghosh, Vijay GaneshCode Translation GPU Kernel Optimization
School of Computer Science, Georgia Institute of Technology, USA · School of Physics, Georgia Institute of Technology, USA · Lawrence Berkeley National Laboratory, USA
EvoTreeNAD: Genealogy-Guided Evolution for LLM-Driven Neural Architecture Discovery
Sep 24, 2026Lishan Yu, Derek Jiu, Qizhen Lan +1Large Language Model-Guided NAS Evolutionary Optimization
Department of Health Data Science and AI McWilliams School of Biomedical Informatics University of Texas Health Science Center at Houston
An Unbounded Archive-based Transfer Strategy for Dynamic Multi-Objective Optimization with a Changing Number of Objectives
Sep 23, 2026Zhiyun Xiao, Ke Shang, Yajun Liu +3Evolutionary Optimization Multi-Objective Evolutionary Optimization
School of Artificial Intelligence, Shenzhen University, Shenzhen 518060, China · National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen 518060, China · Shenzhen ZTE Software Co., Ltd.
Evolution or Illusion? Rethinking Evaluation in LLM Evolutionary Search
Sep 17, 2026Tal Oved, Roi Pony, Oshri Naparstek +1Evolutionary Optimization Large Language Model-Guided Optimization
IBM Research
Bio-Inspired Palette Evolution in Indirectly Encoded Substrates: Timescale Compatibility Shapes Activation Function Discovery
Sep 15, 2026Romain Claret, Michael O'Neill, Paul Cotofrei +1Evolutionary Optimization Neural Network Activation Functions
University of Neuchâtel, Neuchâtel, Switzerland · University College Dublin, Ireland
T-GADE: Thermodynamical Generative-AI-Driven Evolution of LLM Artifacts
Sep 14, 2026Kyoko Ogawa, Naoki MoriEvolutionary Optimization Large Language Model-Guided Optimization
Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan
Decentralized Evolution of Hexapod Gaits with Independent Leg Controllers
Sep 14, 2026Gary B. Parker, John Asaro, Jim O'ConnorLegged Robotics Evolutionary Optimization
Connecticut College, New London CT 06320-4125, USA
EGGROLL, Unrolled: Understanding and Improving Low-Rank Evolution Strategies at Scale
Sep 12, 2026Ege C. Kaya, Abolfazl HashemiEvolutionary Optimization Evolution Strategies
Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization
Sep 12, 2026Pingchen Lu, Xiangyi Wang, Xiang Li +6Evolutionary Optimization LLM Agent Skill Learning
The Chinese University of Hong Kong, Shenzhen · Tianjin University · The Hong Kong University of Science and Technology (Guangzhou) +1
Threshold-Based Selection for Continuous Optimization: A Leaf-Abscission Instantiation
Sep 11, 2026Nasser KhaliliEvolutionary Optimization Black-Box Optimization
Graduate School of Management and Economics, Sharif University of Technology, Tehran, Iran.
ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize
Sep 3, 2026Lihao Liu, Peng Tang, Kunwar Yashraj Singh +1Evolutionary Optimization Large Language Model-Guided Optimization
AWS Agentic AI
LLM-Driven Joint Evolution of Coupled Heuristics Components for Routing Optimization
Sep 2, 2026Juntao Wei, Yangming Zhou, Zhibin Jiang +1Automated Heuristic Design Evolutionary Optimization
Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China · Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai 200240, China
The Time Value of Evolution
Aug 13, 2026Matthew Siper, Ahmed Khalifa, Julian TogeliusEvolutionary Optimization Policy Gradient Methods
Nof1, New York University · Nof1, University of Malta
Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks
Aug 13, 2026Wojciech Zarzecki, Jarosław ArabasEvolutionary Optimization Benchmark Design
Warsaw University of Technology, Institute of Computer Science
$\varepsilon$ -MemEvo: Adaptive Cross-Task Memory Transfer for LLM Program Evolution
Aug 12, 2026Aofan Liu, Shiyuan Song, Yiyan QiEvolutionary Optimization Large Language Model-Guided Optimization
EvoMem: Memory-Augmented Evolution for Code Optimization
Aug 11, 2026Viktor Volkov, Valentin Khrulkov, Andrey V. Galichin +8Memory-Augmented Language Models Evolutionary Optimization
AXXX, Moscow, Russia · Applied AI Institute, Moscow, Russia · Lomonosov Moscow State University, Moscow, Russia
Optimize Cheap, Deploy Strong: Cost-Aware Cross-Tier Transfer for Evolutionary Optimization
Aug 11, 2026Tal Oved, Roi Pony, Oshri Naparstek +1Evolutionary Optimization Large Language Model-Guided Optimization
IBM Research
A Graph Neural Network--Guided Genetic Algorithm for Physical Internet Supply Chain Optimization under Cost Uncertainty
Aug 10, 2026Faezeh Ardali, Gerald M. KnappGraph Neural Networks Evolutionary Optimization
Department of Mechanical and Industrial Engineering Louisiana State University, Baton Rouge, LA, USA
ArchAgent v2: A Case Study with the Data Prefetching Championship
Aug 10, 2026Abraham Gonzalez, Raghav Gupta, Akanksha Jain +12Automated Algorithm Discovery Automated Heuristic Design
Google · University of California, Berkeley · Google DeepMind

Oct 7, 2026, cs.LGJ/K move · Enter open · S save

EvoSignal: LLM-Guided Evolutionary Design of Modular Traffic Signal Control Programs

Leizhen Wang, Peibo Duan, Zhenlin Qin, Yancheng Ling+4

Monash University · KTH Royal Institute of Technology · Chinese Academy of Sciences+2

Traffic Signal Control Automated Heuristic Design LLM-Based Program Synthesis Program Synthesis Evolutionary Optimization

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Effective traffic signal control (TSC) requires policies that respond to changing traffic demand and network conditions while meeting different control objectives. However, adapting existing strategies often involves repeated manual design and adjustment, making it difficult to systematically explore better control rules for a target network. Large language models (LLMs) can automate this process, but directly using them to select signal phases leaves decision rules embedded in black-box models and incurs recurring inference costs and latency. This paper formulates TSC as a modular program design problem and proposes EvoSignal, an LLM-guided evolutionary framework using traffic knowledge and performance feedback. The modular representation separates traffic feature extraction, local phase prioritization, and optional network-based priority adjustment. Starting from several established strategies, EvoSignal improves programs through feedback on congestion and signal operation, retaining strategies with different performance trade-offs. The resulting programs operate without online LLM inference. Simulation experiments across five scenarios on two real-world road networks show that the selected default EvoSignal program reduces waiting time by 16.8--49.2% relative to the lowest waiting time achieved by the 20 conventional, reinforcement learning-based, and LLM-based baselines in each scenario. A program prioritizing travel time and queue length outperforms all 20 baselines on all three metrics in the search scenario and remains among the top three on each metric when transferred unchanged to the other four scenarios. These findings support automated design of inspectable control programs that transfer across the evaluated road networks and traffic demands.Code is available at https://github.com/georgewanglz2019/EvoSignal.

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