Evolutionary Algorithms

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Evolution

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Self-Evolving Agents

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Evolutionary Search

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Self-Evolution

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Alphaevolve

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Co-Evolution

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Genetic Algorithms

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Evolving

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Multi-Agent Evolution

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808 papers

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Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat
May 24, 2026Chengwei Li, Junlin Liu, Yang GaoMulti-Agent Reinforcement Learning Multi-Agent Evolution
DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations
May 23, 2026Lirong Che, Yuzhe yang, Peiwen lin +3Self-Evolving Agents Agent Harness
A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism
May 23, 2026Jayprakash S. Nair, Jimson Mathew, Shivashankar B. NairGenetic Algorithms Obstacle Avoidance
SEAL: Synergistic Co-Evolution of Agents and Learning Environments
May 23, 2026Yihao Hu, Zhihao Wen, Xiujin Liu +3Self-Evolving Agents Large Language Model Agents
ECo-MoE: Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots
May 22, 2026Yibin Wang, Muhan Li, Zihan Guo +1Co-Evolution Robot Systems
SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills
May 22, 2026Yingtie Lei, Zhongwei Wan, Jiankun Zhang +13Skill Evolution Reusable Skills
Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series
May 22, 2026Yunhua Pei, Zixing Song, Jin Zheng +1Time-Series Anomaly Detection Anomaly Detection
Model Collapse as Cultural Evolution
May 21, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuCollapse Cultural Knowledge
PACE: Two-Timescale Self-Evolution for Small Language Model Agents
May 21, 2026Chen Ling, Pei Chen, Albert Guan +4Self-Evolution Large Language Model Agents
MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models
May 21, 2026Yurii Kvasiuk, Tianyi Li, Owen Colegrove +1Evolutionary Search Alphaevolve
Vector Policy Optimization: Training for Diversity Improves Test-Time Search
May 21, 2026Ryan Bahlous-Boldi, Isha Puri, Idan Shenfeld +6Multi-Objective Policy Optimization Large Language Model Post-Training
MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems
May 21, 2026Qianshu Cai, Yonggang Zhang, Xianzhang Jia +5Self-Evolving Agents Self-Evolution
EVE-Agent: Evidence-Verifiable Self-Evolving Agents
May 21, 2026Yamato Arai, Yuma IchikawaSelf-Evolving Agents Agentic Evaluations
Self-Evolving Multi-Agent Systems via Decentralized Memory
May 21, 2026Guangya Hao, Yunbo Long, Zhuokai ZhaoMulti-Agent Evolution Agent Memory
Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery
May 21, 2026Halil Alperen Gozeten, Xuechen Zhang, Emrullah Ildiz +3Evolutionary Search Llm-Based Optimization Modeling
Quantum Genetic Optimization for Negative Selection Algorithms in Anomaly Detection
May 21, 2026Giancarlo P. Gamberi, Calebe P. BianchiniQuantum Approximate Optimization Algorithm Quantum Computing
Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning
May 21, 2026Zihan Liang, Yufei Ma, Ben Chen +4Search-Augmented Reasoning Unsupervised On-Policy Self-Distillation
DeliCIR: Deliberative Test-Time Evolutionary Hierarchical Multi-Agents for Composed Image Retrieval
May 21, 2026Xingtian Pei, Yukun Song, Changwei Wang +4Composed Image Retrieval Multimodal Retrieval
$E^3$ -Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference
May 21, 2026Rui Bao, Yaping Sun, Zhiyong Chen +4Self-Evolving Agents Generative Models
Guiding Multi-Objective Genetic Programming with Description Length Improves Symbolic Regression Solutions
May 21, 2026Gabriel Kronberger, Fabricio Olivetti de Franca, Deaglan J. Bartlett +2Symbolic Regression Genetic Algorithms
Sibyl-AutoResearch: Autonomous Research Needs Self-Evolving Trial-and-Error Harnesses, Not Paper Generators
May 21, 2026Chengcheng Wang, Qinhua Xie, Wei He +3Autoresearch Scientific Workflows
EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning
May 21, 2026Kailin Zhuang, Jiawei Wu, Zhi JinImage Restoration Training-Free Inference Framework
FlyRoute: Self-Evolving Agent Profiling via Data Flywheel for Adaptive Task Routing
May 21, 2026Rongjun Li, Ziyu Zhou, Yihang WuSelf-Evolving Agents Profiling
Dynamic Mixture of Latent Memories for Self-Evolving Agents
May 21, 2026Dianzhi Yu, Vireo Zhang, Hongru Wang +7Catastrophic Forgetting Self-Evolving Agents
EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models
May 21, 2026Shiqi Huang, Ziyue Wang, Zhongrong Zuo +3Self-Evolution Visual Reasoning
Trace2Skill: Verifier-Guided Skill Evolution for Long-Context EDA Agents
May 20, 2026Zijian Du, Nathaniel PinckneyVhdl Electronic Design Automation
GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation
May 20, 2026Sixiang Chen, Zhaohu Xing, Tian Ye +7Image Generation Self-Evolution
EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation
May 20, 2026Mansoor Ahmed, Sujin Lee, Umar Khayaz +1Antibody Alphaevolve
APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
May 20, 2026Yibo Li, Jiashuo Yang, Zhi Zheng +5Self-Evolving Agents Autonomous Exploration Strategies
RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution
May 20, 2026Siyong Jian, Siyuan Li, Luyuan Zhang +5Text-To-Image Large Language Model Quantization
Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design
May 20, 2026Ondrej Galeta, Lukas SekaninaGenetic Algorithms Cryptographically Authorized Mutation
Convergence Analysis of Evolution Strategies for Mixed-Integer Optimization
May 20, 2026Ryoki Hamano, Kento Uchida, Shinichi ShirakawaEvolutionary Search Mixed-Integer Programming
Privacy-Preserving Distributed Optimization Under Time Constraints Using Secure Multi-Party Computation and Evolutionary Algorithms
May 20, 2026Sebastian Gruber, Tobias Harzfeld, Christoph G. Schuetz +2Patient-To-Room Assignment Problem Deadlines
RISE: Reliable Improvement in Self-Evolving Vision-Language Models
May 20, 2026Chaoran Xu, Yingmao Miao, Pengfei Zhang +3Large Vision Language Models Multimodal Reasoning
EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery
May 20, 2026Xiaoyu Xiong, Yuqi Ren, Deyi XiongScientific Discovery Peer Review
What Do Evolutionary Coding Agents Evolve?
May 19, 2026Nico Pelleriti, Sree Harsha Nelaturu, Zhanke Zhou +4Evolutionary Search Self-Evolving Agents
World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks
May 19, 2026Zuyao Lin, Jianhui Zhang, Peidong Jia +3World Models Long-Horizon Planning
Multi-population Diversity-guided Genetic Algorithm for Feature Selection in Network Intrusion Detection
May 19, 2026Chunzhen LiFeature Selection Intrusion Detection
Evolutionary Algorithm for Reservoir Learning and Yielding
May 19, 2026Julien Testu, Pierrick Legrand, Xavier HinautReservoir Computing Evolutionary Search
Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation
May 19, 2026Junjie Wang, Xinghua Lou, Jason Li +8Visual Generation Sample-Wise 2D Refinement
From Mean-Field Limits to Semiclassical Concentration: Global Convergence of the Canonical Evolutionary Strategy
May 19, 2026Matías Neto, Nicolás Garay, Luis Martí +1Evolutionary Search Convergence Analysis
MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
May 19, 2026Md Mehrab Tanjim, Jayakumar Subramanian, Xiang Chen +6Evolutionary Search Feedback Learning
Robo-Cortex: A Self-Evolving Embodied Agent via Dual-Grain Cognitive Memory and Autonomous Knowledge Induction
May 18, 2026Nga Teng Chan, Yi Zhang, Yechi Liu +9Embodied Agents Self-Evolving Agents
EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
May 18, 2026Yuyao Wang, Zhongjian Zhang, Mo Chi +7Agent Memory Cognitive Memory
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
May 18, 2026Hongyi Liu, Haoyan Yang, Tao Jiang +4Reusable Agent Skills Agentic Search
Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization
May 18, 2026Meng Xiang, Pei YanOptimization Landscape Evolutionary Search
Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization
May 18, 2026Taeyoung Yun, Woocheol Shin, Inhyuck Song +2Bayesian Optimization Gaussian Process
Adaptive Stochastic Natural Gradient Method for Safe Optimization on Binary Space
May 18, 2026Kento Uchida, Ryoki Hamano, Masahiro Nomura +1Evolutionary Search Stochastic Gradient Descent
EXG: Self-Evolving Agents with Experience Graphs
May 18, 2026Yuxin Jin, Siyuan Zhang, Hanchen Wang +3Self-Evolving Agents Experience
Taming "Zombie'' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution
May 17, 2026Taolin Zhang, Pukun Zhao, Qizhou Chen +5Multi-Agent Evolution Agent Memory
Evolutionary Extreme Learning Machine of ab-initio Energy Landscapes for Crystal Structure Prediction using Manta Ray Optimization with Levy Flight
May 16, 2026Adrian Rubio-SolisEvolution Particle Swarm Optimization
Latent Heuristic Search: Continuous Optimization for Automated Algorithm Design
May 16, 2026Cheikh Ahmed, Mahdi Mostajabdaveh, Zirui ZhouEvolutionary Search Llm-Based Optimization Modeling
D $^2$ Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning
May 16, 2026Ru Zhang, Renda Li, Ziyu Ma +4Alphaevolve
SE-GA: Memory-Augmented Self-Evolution for GUI Agents
May 16, 2026Shilong Jin, Lanjun Wang, Zhuosheng ZhangGraphical User Interface Agents Self-Evolving Agents
Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics
May 15, 2026K. Ege de Bruin, Kyrre Glette, Kai Olav EllefsenScalable Robot Learning Evolution
EVA-0: Test-Time Model Evolution with Only Two Forward Passes per Sample
May 15, 2026Guohao Chen, Shuaicheng Niu, Geng Li +4Single Forward Pass Backpropagation
H-Mem: A Novel Memory Mechanism for Evolving and Retrieving Agent Memory via a Hybrid Structure
May 15, 2026Jiawei Yu, Yixiang Fang, Xilin Liu +1Agent Memory Evolving
DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
May 14, 2026Yikun Zhang, Xiwei Cheng, Tianyu Liu +2Drug Discovery Self-Evolving Agents
SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution
May 14, 2026Jiachen Jiang, Huminhao Zhu, Zhihui ZhuAlphaevolve Symbolic Regression
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
May 14, 2026Han Li, Jinyu Tian, Rili Feng +10Self-Evolving Agents Previous Machine-Learning-Based Implicit Solvent

May 24, 2026 · cs.AIJ/K move · Enter open · S save

Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat

Chengwei Li, Junlin Liu, Yang Gao

Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences

As modern air combat evolves toward beyond-visual-range (BVR) multi-aircraft cooperative engagements, autonomous decision-making for unmanned combat aerial vehicles (UCAVs) faces significant challenges due to high-dimensional state spaces, discrete action commands, and strongly adversarial dynamic environments. To overcome the limitations of existing multi-agent reinforcement learning (MARL) methods in such settings, namely insufficient exploration efficiency, low sample utilization, and poor policy generalization, we propose Adversarial Curriculum and Evolutionary-enhanced Multi-agent Proximal Policy Optimization (ACE-MAPPO), a hybrid learning framework that integrates evolutionary algorithms with MAPPO. Specifically, a genetic soft update mechanism is introduced to enhance population diversity and mitigate convergence to local optima. An evolutionary-augmented prioritized trajectory replay strategy is further employed to improve the utilization of sparse high-value samples. In addition, an adversarial evolutionary curriculum learning mechanism is designed to enable adaptive training with progressively increasing difficulty. Extensive experimental results demonstrate that the proposed method outperforms MAPPO and other baseline algorithms in terms of training stability, convergence speed, and win rate, validating its effectiveness in multi-aircraft cooperative air combat scenarios.

Multi-Agent Reinforcement Learning Multi-Agent Evolution Multi-Uav Systems Unmanned Aerial Vehicles

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