Cover Image

AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Qi, Yan, Bai, Hu, Taiwei, Chen, Xianglong, Yang, Jian, Cheng, Shi, Shi, Yuhui
Format:	Preprint
Published:	2022
Subjects:	Neural and Evolutionary Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Design of Metaheuristic Algorithms: A Survey
by: Zhao, Qi, et al.
Published: (2023)

Automated Metaheuristic Algorithm Design with Autoregressive Learning
by: Zhao, Qi, et al.
Published: (2024)

Evolutionary Robust Clustering Over Time for Temporal Data
by: Zhao, Qi, et al.
Published: (2021)

Benchmarking Continuous Dynamic Multi-Objective Optimization: Survey and Generalized Test Suite
by: Shao, Chang, et al.
Published: (2026)

ClustOpt: A Clustering-based Approach for Representing and Visualizing the Search Dynamics of Numerical Metaheuristic Optimization Algorithms
by: Cenikj, Gjorgjina, et al.
Published: (2025)

Exploration-Exploitation-Evaluation (EEE): A Framework for Metaheuristic Algorithms in Combinatorial Optimization
by: Davis, Ethan
Published: (2025)

Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework
by: Zhong, Rui, et al.
Published: (2024)

Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization
by: Yin, Haoran, et al.
Published: (2026)

LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
by: van Stein, Niki, et al.
Published: (2024)

The Firefighter Algorithm: A Hybrid Metaheuristic for Optimization Problems
by: Naser, M. Z., et al.
Published: (2024)

Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
by: Duan, Qiqi, et al.
Published: (2023)

Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
by: Duan, Qiqi, et al.
Published: (2023)

A Novel Immune Algorithm for Multiparty Multiobjective Optimization
by: Chen, Kesheng, et al.
Published: (2026)

Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
by: Qian, Chao, et al.
Published: (2024)

A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
by: Osaba, Eneko, et al.
Published: (2024)

HRA: A Multi-Criteria Framework for Ranking Metaheuristic Optimization Algorithms
by: Goula, Evgenia-Maria K., et al.
Published: (2024)

AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)

Metaheuristics for the Template Design Problem: Encoding, Symmetry and Hybridisation
by: Rueda, David Rodríguez, et al.
Published: (2024)

Framework for identifying the equivalence between Nature-Inspired Metaheuristics
by: Fister, Iztok, et al.
Published: (2026)

Green Optimization: Energy-aware Design of Metaheuristics by Using Machine Learning Surrogates to Cope with Real Problems
by: Harada, Tomohiro, et al.
Published: (2026)

Constrained Hybrid Metaheuristic: A Universal Framework for Continuous Optimisation
by: Kowalski, Piotr A., et al.
Published: (2026)

Energy-Aware Metaheuristics
by: Alba, Enrique, et al.
Published: (2026)

PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
by: Duan, Qiqi, et al.
Published: (2022)

A Generalized Evolutionary Metaheuristic (GEM) Algorithm for Engineering Optimization
by: Yang, Xin-She
Published: (2024)

Enhancing Mass Customization Manufacturing: Multiobjective Metaheuristic Algorithms for flow shop Production in Smart Industry
by: Rossit, Diego, et al.
Published: (2024)

CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design
by: Huang, Ziyao, et al.
Published: (2025)

A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization
by: Wu, Tongyu, et al.
Published: (2025)

Matrix Domination: Convergence of a Genetic Algorithm Metaheuristic with the Wisdom of Crowds to Solve the NP-Complete Problem
by: Strachan, Shane Storm
Published: (2023)

Automated Algorithm Design for Auto-Tuning Optimizers
by: Willemsen, Floris-Jan, et al.
Published: (2025)

Automatic Design of Optimization Test Problems with Large Language Models
by: Achtelik, Wojciech, et al.
Published: (2026)

Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization
by: Luo, Wenjian, et al.
Published: (2024)

Memory-Driven Metaheuristics: Improving Optimization Performance
by: Farahmand-Tabar, Salar
Published: (2024)

METAFOR: A Hybrid Metaheuristics Software Framework for Single-Objective Continuous Optimization Problems
by: Camacho-Villalón, Christian, et al.
Published: (2025)

Metaheuristic approaches to the placement of suicide bomber detectors
by: Cotta, Carlos, et al.
Published: (2024)

EvoGrad: Metaheuristics in a Differentiable Wonderland
by: Citterio, Beatrice F. R., et al.
Published: (2025)

Drain-Vortex Optimization: A Population-Based Metaheuristic Inspired by Multi-Drain Free-Vortex Flow
by: Omidi, Mohsen, et al.
Published: (2026)

HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
by: Dat, Pham Vu Tuan, et al.
Published: (2024)

Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem
by: Shi, Feng, et al.
Published: (2022)

Goat Optimization Algorithm: A Novel Bio-Inspired Metaheuristic for Global Optimization
by: Nozari, Hamed, et al.
Published: (2025)

A Case Study on Evaluating Genetic Algorithms for Early Building Design Optimization: Comparison with Random and Grid Searches
by: Nazari, Farnaz, et al.
Published: (2025)