Cover Image

An enhanced Teaching-Learning-Based Optimization (TLBO) with Grey Wolf Optimizer (GWO) for text feature selection and clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Azarshab, Mahsa, Fathian, Mohammad, Amiri, Babak
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction
by: Niu, Sihan, et al.
Published: (2024)

Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models
by: Wang, Xudong, et al.
Published: (2026)

Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis
by: Gong, Shuzhi, et al.
Published: (2026)

Feature selection based on cluster assumption in PU learning
by: Uchikoshi, Motonobu, et al.
Published: (2025)

An Enhanced Grey Wolf Optimizer with Elite Inheritance and Balance Search Mechanisms
by: Jiang, Jianhua, et al.
Published: (2024)

MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement
by: Vignolo, Leandro, et al.
Published: (2026)

Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
by: Guo, Hongshu, et al.
Published: (2025)

CAPO: Cost-Aware Prompt Optimization
by: Zehle, Tom, et al.
Published: (2025)

Topic Modelling Black Box Optimization
by: Akramov, Roman, et al.
Published: (2025)

Distance-based mutual congestion feature selection with genetic algorithm for high-dimensional medical datasets
by: Nematzadeh, Hossein, et al.
Published: (2024)

Evolutionary Dynamic Optimization and Machine Learning
by: Boulesnane, Abdennour
Published: (2023)

Experience-Based Evolutionary Algorithms for Expensive Optimization
by: Yu, Xunzhao, et al.
Published: (2023)

Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting
by: Espinosa, Raquel, et al.
Published: (2023)

Enabling Population-Based Architectures for Neural Combinatorial Optimization
by: Garmendia, Andoni Irazusta, et al.
Published: (2026)

Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
by: Tang, Kaiwen, et al.
Published: (2024)

Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers
by: Kadlčík, Marek, et al.
Published: (2025)

SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
by: Shen, Shuaijie, et al.
Published: (2024)

Migrating Birds Optimization-Based Feature Selection for Text Classification
by: Kaya, Cem, et al.
Published: (2024)

Vector Policy Optimization: Training for Diversity Improves Test-Time Search
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)

Benchmarking Randomized Optimization Algorithms on Binary, Permutation, and Combinatorial Problem Landscapes
by: Odeyemi, Jethro, et al.
Published: (2025)

A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
by: Keivanian, Farshid, et al.
Published: (2023)

A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions
by: Naser, M. Z., et al.
Published: (2024)

Reinforcement Learning-assisted Constraint Relaxation for Constrained Expensive Optimization
by: Zhu, Qianhao, et al.
Published: (2026)

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization
by: Gu, Shengda, et al.
Published: (2025)

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
by: Abhyankar, Nikhil, et al.
Published: (2025)

AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization
by: Yuan, Jiaqi, et al.
Published: (2026)

Gradient-Based Neuroplastic Adaptation for Concurrent Optimization of Neuro-Fuzzy Networks
by: Hostetter, John Wesley, et al.
Published: (2025)

Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
by: Hao, Hao, et al.
Published: (2024)

Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
by: Ma, Zeyuan, et al.
Published: (2025)

Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
by: Hy, Truong Son, et al.
Published: (2024)

Meta-Black-Box-Optimization through Offline Q-function Learning
by: Ma, Zeyuan, et al.
Published: (2025)

Evolutionary Policy Optimization
by: Mustafaoglu, Zelal Su "Lain", et al.
Published: (2025)

Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization
by: Gao, Zijian, et al.
Published: (2026)

Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
by: Chen, Jiacheng, et al.
Published: (2024)

Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning
by: Wu, Yuxin, et al.
Published: (2026)

Evolutionary Multitasking AUC Optimization
by: Wang, Chao, et al.
Published: (2022)

Density Descent for Diversity Optimization
by: Lee, David H., et al.
Published: (2023)

Soft Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
by: Darban, Zahra Zamanzadeh, et al.
Published: (2023)