Imagen de Portada

Yukthi Opus: A Multi-Chain Hybrid Metaheuristic for Large-Scale NP-Hard Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vikraman, SB Danush, Abigail, Hannah, Kesavraj, Prasanna, Honnavar, Gajanan V
Formato:	Preprint
Publicado:	2026
Materias:	Neural and Evolutionary Computing Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Memory-Driven Metaheuristics: Improving Optimization Performance
por: Farahmand-Tabar, Salar
Publicado: (2024)

Water-Based Metaheuristics: How Water Dynamics Can Help Us to Solve NP-Hard Problems
por: Rubio, Fernando, et al.
Publicado: (2024)

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

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
por: Kashyap, Gautam Siddharth, et al.
Publicado: (2025)

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

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

AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures
por: Zhao, Qi, et al.
Publicado: (2022)

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

RAG/LLM Augmented Switching Driven Polymorphic Metaheuristic Framework
por: Esfahani, Faramarz Safi, et al.
Publicado: (2025)

Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning
por: Kowalski, Piotr A., et al.
Publicado: (2025)

Applications of Nature-Inspired Metaheuristic Algorithms for Tackling Optimization Problems Across Disciplines
por: Cui, Elvis Han, et al.
Publicado: (2023)

Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey
por: Talbi, El-Ghazali
Publicado: (2024)

Enhanced Elephant Herding Optimization for Large Scale Information Access on Social Media
por: Drias, Yassine, et al.
Publicado: (2024)

A Comparative Analysis on Metaheuristic Algorithms Based Vision Transformer Model for Early Detection of Alzheimer's Disease
por: Sen, Anuvab, et al.
Publicado: (2024)

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
por: Zhang, Wanting, et al.
Publicado: (2024)

Predicting Confinement Effect of Carbon Fiber Reinforced Polymers on Strength of Concrete using Metaheuristics-based Artificial Neural Networks
por: Wahab, Sarmed, et al.
Publicado: (2023)

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
por: Zheng, Zhi, et al.
Publicado: (2024)

A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping
por: Qiu, Wenjie, et al.
Publicado: (2025)

Bi-Objective Evolutionary Optimization for Large-Scale Open Pit Mine Scheduling Problem under Uncertainty with Chance Constraints
por: Pathiranage, Ishara Hewa, et al.
Publicado: (2025)

Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
por: Ha, Minh Hieu, et al.
Publicado: (2025)

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning
por: Gautam, Ashish, et al.
Publicado: (2025)

Runtime Analysis of Evolutionary Algorithms for Multi-party Multi-objective Optimization
por: Sun, Yuetong, et al.
Publicado: (2025)

Multi-Scale Temporal Homeostasis Enables Efficient and Robust Neural Networks
por: Hakim, MD Azizul
Publicado: (2026)

Hybrid Firefly-Genetic Algorithm for Single and Multi-dimensional 0-1 Knapsack Problems
por: Malanthara, Aswathi, et al.
Publicado: (2024)

An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron
por: Alazab, Moutaz, et al.
Publicado: (2024)

GEGO: A Hybrid Golden Eagle and Genetic Optimization Algorithm for Efficient Hyperparameter Tuning in Resource-Constrained Environments
por: Nazarians, Amaras, et al.
Publicado: (2026)

Evolution of Optimization Algorithms for Global Placement via Large Language Models
por: Yao, Xufeng, et al.
Publicado: (2025)

Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
por: Yu, He, et al.
Publicado: (2024)

Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm
por: Rahman, Md. Mahfuzur, et al.
Publicado: (2024)

A Multi-objective Optimization Approach for Feature Selection in Gentelligent Systems
por: Ghahramani, Mohammadhossein, et al.
Publicado: (2025)

EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
por: Yan, Xueming, et al.
Publicado: (2024)

Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
por: Xie, Lindong, et al.
Publicado: (2025)

An Evolutionary Framework for Automatic Optimization Benchmark Generation via Large Language Models
por: Ono, Yuhiro, et al.
Publicado: (2026)

Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance
por: Nikolikj, Ana, et al.
Publicado: (2025)

Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection
por: Ming, Fei, et al.
Publicado: (2024)

Multi-objective Cat Swarm Optimization Algorithm based on a Grid System
por: Ahmed, Aram M., et al.
Publicado: (2025)

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization
por: Qi, Biqing, et al.
Publicado: (2024)

Can Large Language Models Be Trusted as Evolutionary Optimizers for Network-Structured Combinatorial Problems?
por: Zhao, Jie, et al.
Publicado: (2025)

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
por: Zhang, Yisong, et al.
Publicado: (2025)