Results 21 to 30 of about 230 (149)

Advanced orthogonal opposition‐based learning‐driven dynamic salp swarm algorithm: Framework and case studies

IET Control Theory &Applications, Volume 16, Issue 10, Page 945-971, 2 July 2022., 2022
Abstract Salp swarm algorithm (SSA) is a relatively new bio‐inspired meta‐heuristic optimization algorithm that mimics the navigating and foraging behavior of salps in oceans. This paper presents an orthogonal quasi‐opposition‐based learning‐driven dynamic SSA (OBDSSA) for solving global optimization problems.
Zongshan Wang, Hongwei Ding, Jingjing Yang, Jie Wang, Bo Li, Zhijun Yang, Peng Hou   +6 more
wiley   +1 more source

A Genetic Predictive Model Approach for Smart Traffic Prediction and Congestion Avoidance for Urban Transportation

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
With emerging population and transportation in today’s world, traffic has become a challenging issue to be addressed. Most of the metropolitan cities are facing various traffic‐related issues. This poses the need for a smart traffic system, which could tackle the external environment and provide energy efficient transportation system.
R. Sathiyaraj, A. Bharathi, Sikandar Khan, Tayybah Kiren, Inam Ullah Khan, Muhammad Fayaz, Kuruva Lakshmanna   +6 more
wiley   +1 more source

Effective Modeling of Photovoltaic Modules Using Sailfish Optimizer

International Journal of Energetica, 2023
The current study proposes a novel meta-heuristic technique called sailfish optimizer (SFO) to design reliable photovoltaic (PV) modeling models.
Mohammed Bilal Danoune, A. Djafour, Youcef Rehouma, A. Degla, Zied Dress   +4 more
doaj  

Multi-Strategy Sailfish Optimizer: Novel Algorithm with Dynamic Sardine Population and Improved Search Technique for Efficient Robot Path Planning

Machines
The sailfish optimizer is a recent swarm-intelligence-based optimization algorithm which mimics the hunting behavior of sailfish in the ocean. It consists of two types of populations, namely, sailfish and sardine, where sailfish represent the candidate ...
Saboohi Naeem Ahmed, Muhammad Rizwan Tanweer, Adnan Ahmed Siddiqui, Salman A. Khan, Muhammad Hassan Tanveer, Razvan Cristian Voicu   +5 more
doaj   +1 more source

Periodic pressure prediction of working face based on dynamic adaptive sailfish optimization BP neural network

Gong-kuang zidonghua
In order to solve the problems of insufficient precision, poor generalization, and high computational requirements of existing methods for periodic pressure prediction of working face, a periodic pressure prediction model of working face based on dynamic
YAO Yupeng, XIONG Wu
doaj   +1 more source

SailMutLoc: a sailfish-mutation enhanced optimization algorithm for student performance prediction

Ain Shams Engineering Journal
Feature selection enables educational data mining provide personalised support and enhance student performance. When using high-dimensional educational datasets, traditional feature selection techniques have premature convergence and inadequate feature ...
Ashjan Hamad Alsabhan, Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Ahmed Adnan Hadi, Mohamed Ghouse, Akila Thiyagarajan, Mohit Mittal, Mohammad Khishe   +8 more
doaj   +1 more source

A Python/Fortran Implementation of the Lattice‐Boltzmann Kernel on Multiple GPU Using the OpenACC Framework

Concurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.
ABSTRACT The increasing availability of GPU accelerated architectures for high‐performance computing presents new opportunities for scientific software but also challenges due to the complexity of porting legacy codes to accelerator platforms. Directive‐based programming models such as OpenACC offer a minimally intrusive pathway to exploit GPU ...
Carlos Junqueira‐Junior, Erwan Zamora Medina, Noureddine Taibi, Simon Marié   +3 more
wiley   +1 more source

A Noncontact Methodology for Disengagement Monitoring of High‐Speed Railway Bridge Bearings Based on Bearing‐to‐Beam Displacement Relation Under Round‐Trip Trains

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Bearings are critical components of bridges and are susceptible to various forms of deterioration under the action of traffic loads and complex environmental conditions. Existing methods for assessing the condition of bearings, including visual inspections, force sensors, cameras, and vibration sensors, still present challenges in accurately locating ...
Chuang Wang, Jiawang Zhan, Zhihang Wang, Xinxiang Xu, Yujie Wang, Zhen Ni, Fei Li, Lucia Faravelli   +7 more
wiley   +1 more source

Multimodal Lotus Effect Algorithm for Engineering Optimization Problems

Engineering Reports, Volume 7, Issue 4, April 2025.
ABSTRACT Multimodal optimization problems (MMOPs) are critical in fields like game theory and robotics, where identifying multiple optimal solutions simultaneously is essential, yet challenging due to the need for effective global exploration and precise localization of optima.
Elham Dalirinia, Mahdi Yaghoobi, Hamid Tabatabaee, Swati Chandna, Mehrdad Jalali   +4 more
wiley   +1 more source

Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta‐Analysis

Oral Diseases, Volume 31, Issue 4, Page 1054-1064, April 2025.
ABSTRACT Objective Oral diseases, specifically malignant lesions, are serious global health concerns requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has emerged as a powerful tool for the automated detection and classification of oral lesions.
Olga Di Fede, Gaetano La Mantia, Marco Parola, Laura Maniscalco, Domenica Matranga, Pietro Tozzo, Giuseppina Campisi, Mario G. C. A. Cimino   +7 more
wiley   +1 more source