Results 141 to 150 of about 50,815 (253)

Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah, Leonard Mensah Boante, Solomon Mensah, Ebenezer Owusu, Justice Kwame Appati   +4 more
wiley   +1 more source

Giant Armadillo Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems. [PDF]

Biomimetics (Basel), 2023
Alsayyed O, Hamadneh T, Al-Tarawneh H, Alqudah M, Gochhait S, Leonova I, Malik OP, Dehghani M.   +7 more
europepmc   +1 more source

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

Metaheuristics for The Solution of Dynamic Vehicle Routing Problem With Time Windows (DVRPTW) With Travel Time Variable

JAREE (Journal on Advanced Research in Electrical Engineering), 2017
This research is focusing on the development of metaheuristic algorithm to solve Dynamic Vehicle Routing Problem With Time Windows (DVRPTW) for the service provider of Inter-city Courier. The algorithm is divided into two stages which is static stage and
Nurlita Gamayanti
doaj  

A new human-based metaheuristic algorithm for solving optimization problems based on preschool education. [PDF]

Sci Rep, 2023
Trojovský P.
europepmc   +1 more source

A Two‐Phase Detection Method Based on Ensemble Feature Fusion for Detecting Distributed Denial of Service (DDoS) Attacks in Cloud Computing Using Deep Learning Algorithm

Engineering Reports, Volume 8, Issue 2, February 2026.
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein, Fahad Navabifar, Fariba Majidi, Hayder Kadhim Hammood   +3 more
wiley   +1 more source

Squid Game Optimizer (SGO): a novel metaheuristic algorithm. [PDF]

Sci Rep, 2023
Azizi M, Baghalzadeh Shishehgarkhaneh M, Basiri M, Moehler RC.   +3 more
europepmc   +1 more source

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

Engineering Reports, Volume 8, Issue 2, February 2026.
Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad, Patricia Gomes Ferreira da Costa, Thaís Spiegel, Hélcio de Oliveira Rocha   +3 more
wiley   +1 more source

Lyrebird Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems. [PDF]

Biomimetics (Basel), 2023
Dehghani M, Bektemyssova G, Montazeri Z, Shaikemelev G, Malik OP, Dhiman G.   +5 more
europepmc   +1 more source

Development of a Novel Modified Mean‐Line Approach for Performance Prediction of Axial Compressors

Energy Science &Engineering, Volume 14, Issue 2, Page 843-853, February 2026.
ABSTRACT There is significant importance in accurate prediction of axial flow compressor characteristics at different conditions. Different techniques and models have been proposed for performance prediction of axial compressors. Because of its lower computational cost and high speed the meanline algorithm has been widely applied in preliminary design ...
Sina Hassanlue, Mohammad Alhuyi Nazari, Mohammadreza Pakatchian   +2 more
wiley   +1 more source