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.

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

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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