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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Cultivating Machine Intelligence: The OMEGA Shift from Top-Down Optimization to Autopoietic Cognitive Ecologies
May 24, 2026Ata G. ZareCognitive Modeling Evolutionary Optimization
Nyenrode Business University
MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models
May 21, 2026Yurii Kvasiuk, Tianyi Li, Owen Colegrove +1Quantitative Finance Evolutionary Optimization
Department of Physics, University of Wisconsin–Madison · Event Horizon Labs
Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery
May 21, 2026Halil Alperen Gozeten, Xuechen Zhang, Emrullah Ildiz +3Evolutionary Optimization Large Language Model-Guided Optimization
University of Michigan - Ann Arbor · University of California San Diego
Convergence Analysis of Evolution Strategies for Mixed-Integer Optimization
May 20, 2026Ryoki Hamano, Kento Uchida, Shinichi ShirakawaEvolutionary Optimization Evolution Strategies
CyberAgent · Yokohama National University
What Do Evolutionary Coding Agents Evolve?
May 19, 2026Nico Pelleriti, Sree Harsha Nelaturu, Zhanke Zhou +4Evolutionary Optimization AI Coding Agents
1Zuse Institute Berlin · 2Technical University of Berlin · 3Hong Kong Baptist University +1
From Mean-Field Limits to Semiclassical Concentration: Global Convergence of the Canonical Evolutionary Strategy
May 19, 2026Matías Neto, Nicolás Garay, Luis Martí +1Dynamical Systems Evolutionary Optimization
Inria Chile Research Center, Av Apoquindo 2827, Las Condes, RM, Chile · Departamento de Ingeniería Matemática, Universidad de Chile, Santiago, Chile
Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization
May 18, 2026Meng Xiang, Pei YanEvolutionary Optimization Multi-Objective Evolutionary Optimization
University of Aizu Aizuwakamatsu, Japan
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
May 18, 2026Hyo Seo Kim, Gang Luo, Can Chen +3Evolutionary Optimization Adversarial Attacks
Illinois Institute of Technology · University of North Carolina at Chapel Hill · Singapore Management University
Multi-Party Multi-Objective Optimization as Consensus Search: Runtime Analysis of Cross-Party Recombination
May 17, 2026Xiaolei Fang, Peilan Xu, Wenjian LuoEvolutionary Optimization Multi-Objective Evolutionary Optimization
School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China · Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Institute of Cyberspace Security, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China.
Evolutionary Extreme Learning Machine of ab-initio Energy Landscapes for Crystal Structure Prediction using Manta Ray Optimization with Levy Flight
May 16, 2026Adrian Rubio-SolisEvolutionary Optimization Crystal Structure Prediction
Hamlyn Centre for Robotic Surgery, Imperial College London (ICL) · London SW7 2AZ, UK United Kingdom
First Mathematical Runtime Analyses of Multi-Objective Evolutionary Algorithms for Multi-Valued Decision Variables
May 14, 2026Mingfeng Li, Zheng Cheng, Weijie Zheng +1Evolutionary Optimization Multi-Objective Evolutionary Optimization
School of Computer Science and Technology, National Key Laboratory of Smart Farm Technologies and Systems, International Research Institute for Artiﬁcial Intelligence, Harbin Institute of Technology, Shenzhen · 2Pengcheng Laboratory, Shenzhen, China · 3Laboratoire d’Informatique (LIX), CNRS, ´Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
Gradient-Free Training of Spiking Neural Networks via Low-Rank Evolution Strategies
May 14, 2026Dhruv Patankar, Sachit Ramesha GowdaEvolutionary Optimization Evolution Strategies
Shunya Research
Harnessing Agentic Evolution
May 13, 2026Jiayi Zhang, Yongfeng Gu, Jianhao Ruan +10Evolutionary Optimization Self-Improving Agents
1The Hong Kong University of Science and Technology (Guangzhou) · 2DeepWisdom · 3Singapore University of Technology and Design +4
The Geno-Synthetic Algorithm: Type-Factored Coevolutionary Optimization for Heterogeneous Genotypes and Assembled Phenotypes
May 13, 2026Alex BogdanEvolutionary Optimization Black-Box Optimization
Evolutionairy AI Toronto, Canada
TRUST-TAEA: A trustworthiness-guided two-archive evolutionary algorithm with variable-grouping sparse search for large-scale multi-objective optimization
May 13, 2026Junyi Cui, Chao Min, Stanisław Migórski +2Evolutionary Optimization Multi-Objective Evolutionary Optimization
School of Sciences, Southwest Petroleum University, Chengdu, 610500, China · Institute for Artificial Intelligence, Southwest Petroleum University, Chengdu, 610500, China · Jagiellonian University in Krakow, Faculty of Mathematics and Computer Science, Krakow, 30348, Poland +1
A Family of Quaternion-Valued Differential Evolution Algorithms for Numerical Function Optimization
May 12, 2026Gerardo Altamirano-Gomez, Álvaro Gallardo, Carlos Ignacio Hernández CastellanosDifferential Evolution Evolutionary Optimization
Instituto de Investigaciones en Matem´aticas Aplicadas y Sistemas, Universidad Nacional Aut´onoma de M´exico, M´exico · Universidad Iberoamericana, M´exico
Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging
May 12, 2026Md. Robiul Islam Niloy, Youhei AkimotoEvolutionary Optimization Black-Box Optimization
BRAC University, Bangladesh
EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models
May 12, 2026Zhikai Zhao, Chuanbo Hua, Federico Berto +4Evolutionary Optimization Robot Navigation
1KAIST · 2Radical Numerics · 3UC Riverside +1
Evolutionary Task Discovery: Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling
May 12, 2026Liqin Ye, Yanbin Yin, Michael Galarnyk +3Evolutionary Optimization Curriculum Learning
Georgia Institute of Technology
On the Impact of Crossover in Many-Objective Optimization: A Runtime Analysis of NSGA-III
May 11, 2026Andre OprisEvolutionary Optimization Multi-Objective Evolutionary Optimization
Chair of Algorithms for Intelligent Systems, University of Passau, Passau, Germany
Decomposing Evolutionary Mixture-of-LoRA Architectures: The Routing Lever, the Lifecycle Penalty, and a Substrate-Conditional Boundary
May 11, 2026Ramchand KumaresanAdaptive Model Routing Evolutionary Optimization
Murai Labs
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing
May 11, 2026Yanjie Li, Liping Zhang, Min Wu +6Evolutionary Optimization Genetic Programming
AnnLab, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China. · School of Electronic, Electrical and Communication Engineering,2026 University of Chinese Academy of Sciences, Beijing, China.
Teacher-Aware Evolution of Heuristic Programs from Learned Optimization Policies
May 11, 2026Minyu Chen, Song Qin, Ling-I Wu +2Automated Heuristic Design Evolutionary Optimization
Shenzhen Technology University · Shanghai Polytechnic University · Shanghai Jiao Tong University
Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
May 10, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuEvolutionary Optimization Large Language Model-Guided Optimization
The University of Hong Kong, China · Stellaris AI Limited, China
LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search
May 10, 2026Temoor TanveerEvolutionary Optimization Large Language Model-Guided Optimization
Independent Researcher
RDEx-CASK: Cauchy Mutation, Archive, and Stagnation Kick for RDEx-CSOP
May 10, 2026Dikshant, Dikshit Chauhan, Chen Hao +3Differential Evolution Evolutionary Optimization
Internal vs. External: Comparing Deliberation and Evolution for Multi-Agent Constitutional Design
May 9, 2026Hershraj Niranjani, Ujwal Kumar, Phan Xuan TanEvolutionary Optimization Multi-Agent Systems
Department of EECS, University of California, Berkeley, Berkeley, CA, USA · College of Engineering, Shibaura Institute of Technology, Tokyo, Japan
Evolutionary Ensemble of Agents
May 9, 2026Zongmin Yu, Liu YangAI Agents for Scientific Discovery Evolutionary Optimization
National University of Singapore
ARES-LSHADE: Autoresearch-Enhanced LSHADE with Memetic Polish for the GNBG Benchmark
May 9, 2026Abdullah Naeem, Md Wasi Ul kabir, Manish Bhatt +3Differential Evolution Evolutionary Optimization
University of New Orleans · Amazon†
Exploring the non-convexity in machine learning using quantum-inspired optimization
May 8, 2026Kandula Eswara Sai Kumar, Parth Dhananjay Danve, Abhishek Chopra +1Evolutionary Optimization Quantum-Inspired ML
1*BosonQ Psi (BQP), New York, USA.
HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization
May 8, 2026Yuping Yan, Jirui Han, Fei Ming +2Multi-Agent LLM Systems Multi-Agent System Optimization
School of Engineering Westlake University
Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts
May 8, 2026Zixuan Huang, Da Chen, Kecheng Huang +5GPU Kernel Optimization GPU Acceleration
1The Chinese University of Hong Kong · 2Noah’s Ark Lab, Huawei
GEAR: Genetic AutoResearch for Agentic Code Evolution
May 8, 2026Ahmadreza Jeddi, Minh Ngoc Le, Hakki C. Karaimer +2Evolutionary Optimization Autonomous Experimentation
University of Toronto · Vector Institute · AI Center-Toronto, Samsung Electronics +1
PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents
May 7, 2026Minghao Yan, Bo Peng, Benjamin Coleman +11Test-Time Adaptation Reinforcement Learning
1Google · University of Wisconsin–Madison · 3Google DeepMind
CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models
May 7, 2026Thomas Bömer, Bastian Amberg, Max Disselnmeyer +1Automated Heuristic Design Evolutionary Optimization
Karlsruhe Institute of Technology Karlsruhe, Germany
Direct From Darwin: Deriving Advanced Optimizers From Evolutionary First Principles
May 6, 2026Daniel GrimmerEvolutionary Optimization
Philosophy, Yale University, New Haven, 06511, USA
CodeEvolve: LLM-Driven Evolutionary Optimization with Runtime-Enriched Target Selection for Multi-Language Code Enhancement
May 6, 2026Ajay Krishna Borra, Wenzhuo Yang, Samarth Arora +9Evolutionary Optimization Large Language Model-Guided Optimization
Salesforce
Indian Wedding System Optimization (IWSO): A Novel Socially Inspired Metaheuristic with Operational Design and Analysis
May 5, 2026Deepika Saxena, Kishu Gupta, Jitendra Kumar +5Evolutionary Optimization Metaheuristic Optimization
Department of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Fukushima, Japan · Department of Computer Science, the VIZJA University, Warsaw, 01-043, Poland · Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan +7
FunFuzz: An LLM-Powered Evolutionary Fuzzing Framework
May 4, 2026Mario Rodríguez Béjar, B. Romera-Paredes, Jose L. Hernández-RamosEvolutionary Optimization Software Vulnerability Detection
Universidad de Murcia Murcia, Spain · Hiverge London, England
ContextualJailbreak: Evolutionary Red-Teaming via Simulated Conversational Priming
May 4, 2026Mario Rodríguez Béjar, Francisco J. Cortés-Delgado, S. Braghin +1Evolutionary Optimization LLM Red Teaming
Universidad de Murcia · IBM Research
RCMAES: A Robust CMA-ES Variant for CEC2026 Competition
Apr 29, 2026Khoirul Faiq Muzakka, Sören Möller, Martin FinsterbuschEvolutionary Optimization Black-Box Optimization
Institute of Energy Materials and Devices (IMD-2), Forschungszentrum Jülich GmbH, Germany
Population Dynamics in ARIEL Robotics Systems Featuring Embodied Evolution via Spatial Mating Mechanisms
Apr 29, 2026Victoria Peterson, Akshat Srivastava, Raghav PrabhakarDynamical Systems Evolutionary Optimization
Vrije Universiteit Amsterdam, Netherlands
MappingEvolve: LLM-Driven Code Evolution for Technology Mapping
Apr 29, 2026Rongliang Fu, Yi Liu, Qiang Xu +1Evolutionary Optimization Large Language Model-Guided Optimization
Chinese University of Hong Kong Hong Kong, China
SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution
Apr 27, 2026Sichun Luo, Yi Huang, Haochen Luo +7Automated Algorithm Discovery Evolutionary Optimization
1The University of Hong Kong · 2JIUTIAN Research, China Mobile · 3City University of Hong Kong
MAEO: Multiobjective Animorphic Ensemble Optimization for Scalable Large-scale Engineering Applications
Apr 26, 2026Omer F. Erdem, Dean Price, Paul Seurin +1Evolutionary Optimization Multi-Objective Evolutionary Optimization
Department of Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, MI 48109, United States · Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, 60 Vassar St., Cambridge, MA 02139 · Idaho National Laboratory, Idaho Falls, ID 83415, United States +1
Escher-Loop: Mutual Evolution by Closed-Loop Self-Referential Optimization
Apr 25, 2026Ziyang Liu, Xinyan Guo, Xuchen Wei +2Evolutionary Optimization Self-Improving Agents
Shenzhen X-Institute; Soochow University · Soochow University · Shenzhen X-Institute +2
L-System Genetic Encoding for Scalable Neural Network Evolution: A Comparison with Direct Matrix Encoding
Apr 23, 2026Alexander Stuy, Nodin WeddingtonNeural Network Generalization Evolutionary Optimization
Florida State University
Multi-Task Optimization over Networks of Tasks
Apr 23, 2026Julian Hatzky, Thomas Bartz-Beielstein, A. E. Eiben +1Evolutionary Optimization Quality-Diversity Optimization
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands · TH Köln, Cologne, Germany
Novelty-Based Generation of Continuous Landscapes with Diverse Local Optima Networks
Apr 23, 2026Kippei Mizuta, Shoichiro Tanaka, Shuhei Tanaka +1Novelty Search Evolutionary Optimization
The University of Fukuchiyama, Fukuchiyama, Kyoto, Japan
Neuro-evolutionary stochastic architectures in gauge-covariant neural fields
Apr 22, 2026Rodrigo Carmo TerinEvolutionary Optimization Equivariant Neural Networks
King Juan Carlos University, Facuty of Experimental Sciences and Technology, Department of Applied Physics, Av. del Alcalde de M´ostoles, 28933, Madrid, Spain
What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search
Apr 21, 2026Xinhao Zhang, Xi Chen, François Portet +1Evolutionary Optimization Large Language Model-Guided Optimization
Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000 Grenoble, France
On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems
Apr 20, 2026Menghao Tang, Zimin Liang, Miqing LiEvolutionary Optimization Multi-Objective Evolutionary Optimization
University of Birmingham Birmingham, United Kingdom
Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization
Apr 20, 2026Jiahao Huang, Peilan Xu, Xiaoya Nan +1Evolutionary Optimization Large Language Model-Guided Optimization
School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China · Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Institute of Cyberspace Security, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, Guangdong, China
SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization
Apr 19, 2026Yuncheng Hua, Sion Weatherhead, Mehdi Jafari +2Evolutionary Optimization
School of Computer Science and Engineering, University of New South Wales, Australia
Monotone but Exciting: On Evolving Monotone Boolean Functions with High Nonlinearity
Apr 19, 2026Claude Carlet, Marko Čupić, Marko Ðurasevic +3Evolutionary Optimization
University of Paris 8, 2 rue de la liberté, 93526 Saint-Denis Cedex, France · University of Bergen, Bergen, Norway · Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, Zagreb, Croatia +2
From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution
Apr 16, 2026Junjie Wang, Yiming Ren, Haoyang ZhangEvolutionary Optimization LLM Agent Skill Learning
Independent Researcher · Infinite Evolution Lab, EvoMap
NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning
Apr 16, 2026Hibatallah Meliani, Khadija Slimani, Samira KhouljiEvolutionary Optimization Robot Navigation
ISI Laboratory, National School of Applied Sciences (ENSA), Abdelmalek Essaadi University Tetouan, Morocco · EsieaLab LDR, Higher School of Computer Science, Electronics and Automation (ESIEA) Paris, France
Analysis of Multitasking Pareto Optimization for Monotone Submodular Problems
Apr 16, 2026Liam Wigney, Frank NeumannSubmodular Optimization Evolutionary Optimization
Optimisation and Logistics School of Computer Science and Information Technology Adelaide University Adelaide, Australia
CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning
Apr 16, 2026Zhuo Wang, Zhuo Zhang, Yafu Li +3Evolutionary Optimization LLM Training
1Fudan University · 5Independent Researcher · 3The Chinese University of Hong Kong +3
Evolving Many Worlds: Towards Open-Ended Discovery in Petri Dish NCA via Population-Based Training
Apr 13, 2026Uljad Berdica, Jakob Foerster, Frank Hutter +1Neural Cellular Automata Novelty Search
1FLAIR, University of Oxford · 2ELLIS Institute Tübingen · University of Freiburg +2

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Cultivating Machine Intelligence: The OMEGA Shift from Top-Down Optimization to Autopoietic Cognitive Ecologies

Ata G. Zare

Nyenrode Business University

Cognitive Modeling Evolutionary Optimization Free Energy Principle

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The dominant artificial intelligence paradigm trains neural architectures via gradient descent against proxy objectives and reinforcement learning from human feedback. While remarkably capable, this top-down optimization inherently generates structural failure modes, including hallucination, sycophancy, reward hacking, and alignment fragility, which represent paradigmatic limitations rather than mere engineering defects. In response, we introduce RECLAIM (Recursive, Ecological, Cognitive, Lifelike, Adaptive, Intelligent Machine), a theoretical framework for cultivating intelligence through computational ecology rather than engineering it through strict optimization. The model is supported by four interlocking theoretical pillars. General Darwinism replaces gradients with blind variation and selective retention, while non-agentic emergence substitutes evaluative rewards with environmental physics to structurally prevent specification gaming against human intent. Concurrently, the Polya-Hebbian bridge applies Polya urn dynamics to Hebbian reinforcement for path-dependent specialization, and the free energy principle is integrated as environmental thermodynamics rather than as an agent objective. The architecture situates autopoietic units, bounded by Markov blankets and competing for finite computational energy, within a data ecology shaped by cognitive food chains and Red Queen arms races. This framework suggests the spontaneous emergence of dual-process cognition, sensory specialization, analogical reasoning, and intrinsic motivation as natural consequences of evolution under resource constraints. We conceptualize this paradigm transition as the OMEGA shift, representing a move from optimization and maximization to emergence through generative autopoiesis.

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