Suchergebnisse - "Binary tunicate swarm algorithm"

Binary tunicate swarm algorithm based novel feature selection framework for mammographic mass classification

Autoren: Romesh Laishram Rinku Rabidas

Quelle: Measurement. 235:114928

SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification.

Autoren: Prabhakar, Sunil Kumar Won, Dong-Ok

Quelle: Algorithms; Jul2024, Vol. 17 Issue 7, p302, 25p

Schlagwörter: FEATURE selection, MACHINE learning, SIGNAL classification, COUGH, WAVELET transforms

Enhanced CO 2 Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm.

Autoren: Alhussan, Amel Ali Metwally, Marwa

Quelle: Mathematics (2227-7390); May2025, Vol. 13 Issue 10, p1627, 47p

Schlagwörter: MACHINE learning, FEATURE selection, OPTIMIZATION algorithms, STANDARD deviations, CARBON emissions

List-Based Threshold Accepting Algorithm with Improved Neighbor Operator for 0–1 Knapsack Problem.

Autoren: Wu, Liangcheng Lin, Kai Lin, Xiaoyu et al.

Quelle: Algorithms; Nov2024, Vol. 17 Issue 11, p478, 16p

Schlagwörter: METAHEURISTIC algorithms, ALGORITHMS, KNAPSACK problems

Adaptive dynamic elite opposition-based Ali Baba and the forty thieves algorithm for high-dimensional feature selection.

Autoren: Braik, Malik Awadallah, Mohammed A. Alzoubi, Hussein et al.

Quelle: Cluster Computing; Nov2024, Vol. 27 Issue 8, p10487-10523, 37p

Schlagwörter: FEATURE selection, ALGORITHMS, POPULARITY, THIEVES, CLASSIFICATION

Improved Dwarf Mongoose Optimization Algorithm for Feature Selection: Application in Software Fault Prediction Datasets.

Autoren: Hammouri, Abdelaziz I. Awadallah, Mohammed A. Braik, Malik Sh. et al.

Quelle: Journal of Bionic Engineering; Jul2024, Vol. 21 Issue 4, p2000-2033, 34p

A new binary coati optimization algorithm for binary optimization problems.

Autoren: Yildizdan, Gülnur Bas, Emine

Quelle: Neural Computing & Applications; Feb2024, Vol. 36 Issue 6, p2797-2834, 38p

Schlagwörter: OPTIMIZATION algorithms, EVOLUTIONARY algorithms, KNAPSACK problems, HEURISTIC algorithms, GAZELLES

An enhanced binary slime mould algorithm for solving the 0–1 knapsack problem.

Autoren: Abdollahzadeh, Benyamin Barshandeh, Saeid Javadi, Hatef et al.

Quelle: Engineering with Computers; Oct2022 Suppl 4, Vol. 38, p3423-3444, 22p