Results 1 to 10 of about 2,751,102 (125)

FP-SMA: an adaptive, fluctuant population strategy for slime mould algorithm [PDF]

Neural Computing and Applications, 2022
In this paper, an adaptive Fluctuant Population size Slime Mould Algorithm (FP-SMA) is proposed. Unlike the original SMA where population size is fixed in every epoch, FP-SMA will adaptively change population size in order to effectively balance exploitation and exploration characteristics of SMA's different phases.
Jassim Al-Fadhli, Ali Jaragh, Mohammad Gh. AlFailakawi, Imtiaz Ahmad   +3 more
openaire   +5 more sources

Gradient-Boosted Decision Tree with used Slime Mould Algorithm (SMA) for wastewater treatment systems

Water Reuse, 2023
Abstract One way to improve the infrastructure, operations, monitoring, maintenance, and management of wastewater treatment systems is to use machine learning modelling to make smart forecasting, tracking, and failure prediction systems. This method aims to use industry data to treat the wastewater treatment model.
Jyoti Chauhan, R. M. Rani, Vempaty Prashanthi, Hamad Almujibah, Abdullah H. Alshahri, Koppula Srinivas Rao, Arun Radhakrishnan   +6 more
openaire   +3 more sources

Advances in Slime Mould Algorithm: A Comprehensive Survey. [PDF]

Biomimetics (Basel)
The slime mould algorithm (SMA) is a new swarm intelligence algorithm inspired by the oscillatory behavior of slime moulds during foraging. Numerous researchers have widely applied the SMA and its variants in various domains in the field and proved its ...
Wei Y, Othman Z, Daud KM, Luo Q, Zhou Y.
europepmc   +3 more sources

Big Data Analytics Framework for Early Breast Cancer Detection Using Optimized MapReduce and Deep Learning on Large-Scale Mammographic Data. [PDF]

Int J Biomed Imaging
The paper presents a framework that is aimed at addressing the large‐scale data challenge with a particular focus on early prediction of breast cancer based on mammography image data. The abundance of large‐scale medical imaging data in healthcare has opened the way to intelligent diagnostic systems through its ability to analyze and process large ...
Ahmed MM, Hassanien E.
europepmc   +2 more sources

AGPLO‐Driven Optimisation for Accurate Segmentation of Papillary Thyroid Carcinoma in Medical Imaging

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 847-858, June 2026.
ABSTRACT Papillary Thyroid Carcinoma (PTC) is the most prevalent thyroid malignancy, and accurate lesion segmentation is essential for clinical diagnosis and treatment planning. Metaheuristic optimisation algorithms have been widely used in Multi‐Threshold Image Segmentation (MTIS), but many existing methods suffer from an imbalance between global ...
Jing Ruan, Xiaoxiao Chen, Hanbing Yao, Yujia Xu, Shiqi Xu, Shihao Zhao, Yulun Wu, Yingting Dai, Yubing Chen, Shuqing Ma, Qiongying Zhang, Ying Zhou, Ali Asghar Heidari, Huiling Chen, Yangping Shentu   +14 more
wiley   +1 more source

Design of Novel Exponential PDN Controller via Quadratic Interpolation Optimiser for Nonlinear and Unstable Ball and Beam System

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This study presents a novel exponential proportional‐derivative controller with filter (exp‐PDN) for stabilising the nonlinear and underactuated ball and beam system. Unlike conventional PID‐based approaches, the proposed controller removes the integral term, resulting in faster transient responses and improved robustness.
Davut Izci, Serdar Ekinci, Emre Çelik, Murat Uyar, Mohit Bajaj, Vojtech Blazek, Olena Rubanenko   +6 more
wiley   +1 more source

Application of Hybrid SMA (Slime Mould Algorithm)-Fuzzy PID Control in Hip Joint Trajectory Tracking of Lower-Limb Exoskeletons in Multi-Terrain Environments

Processes
This paper addresses the challenges of inadequate trajectory tracking accuracy and limited parameter adaptability encountered by hip joints in lower-limb exoskeletons operating across multi-terrain environments. To mitigate these issues, we propose a hybrid control strategy that synergistically combines the slime mould algorithm (SMA) with fuzzy PID ...
Wei Li, Xiaojie Wei, Daxue Sun, Zhuoda Jia, Zhengwei Yue, Tianlian Pang   +5 more
openaire   +1 more source

An Optimal Cascade Controller for Automatic Generation Control of Deregulated Power Systems Incorporating Hybrid Energy Storage Systems

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
The present article proposes automatic generation control of realistic multi‐energy electric power systems with hybrid energy storage systems under a deregulated environment, utilizing a new cascade CTID‐IλDN controller. The gains of the controller are tuned using a novel griffon vulture optimization algorithm.
Sandeep Rangi, Sheilza Jain, Yogendra Arya, Ayyala Kishore Ajay Kumar   +3 more
wiley   +1 more source

A Novel Dual Fitness–Distance Balance Chaotic Evolution Algorithm for Parameter Extraction of PEM Fuel Cell Models

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This study proposes a novel dual fitness–distance balance chaotic evolution optimisation (DFDBCEO) algorithm for the highly accurate parameter estimation of proton exchange membrane fuel cell models. By integrating global spatial distance and local neighbourhood diversity, the proposed architecture effectively prevents premature convergence in complex ...
Yunus Hınıslıoğlu
wiley   +1 more source

Privacy‐Preserving and Interpretable Stability Prediction in Smart Grids Using Explainable Federated Feature Selection

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
The increasing integration of renewable energy sources and distributed smart devices within modern power systems has intensified the challenges of real‐time load balancing and grid stability management. Traditional centralized prediction models struggle to adapt to dynamic load fluctuations and introduce significant privacy concerns by requiring access
Muhammad Adnan Khan, Gulfaraz Anis, Naila Samar Naz, Muhammad Saleem, Tehseen Mazhar, Muhammad Sajid Farooq, Sang-Woong Lee, Habib Hamam, Cheng Du   +8 more
wiley   +1 more source