Results 91 to 100 of about 9,168 (188)

Brain image clustering by wavelet energy and CBSSO optimization algorithm [PDF]

, 2019
Previously, the diagnosis of brain abnormality was significantly important in the saving of social and hospital resources. Wavelet energy is known as an effective feature detection which has great efficiency in different utilities.
Hosseinzadeh, Hasan, Sedaghat, Mohammad
core   +1 more source

Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models

IET Blockchain, Volume 6, Issue 1, January/December 2026.
We present a metaheuristic feature‐selection framework—Artificial Bee Colony, Aquila Optimiser and Fox Optimiser—for blockchain fraud detection, benchmarked across machine‐learning and deep‐learning models on large‐scale transaction data. The study evaluates predictive performance (PR‐AUC/ROC‐AUC), stability across seeds and parsimony under cost ...
Hibatou allah Boulsane, Karim Afdel
wiley   +1 more source

Reinforcement Learning‐Assisted Meta‐Heuristics for Scheduling Job Shops With Material Handling Robots

IET Collaborative Intelligent Manufacturing, Volume 8, Issue 1, January/December 2026.
This study addresses an integrated job shop scheduling problem with material handling robots, aiming to minimise the maximum completion time. Three meta‐heuristics, seven local search strategies and two reinforcement learning algorithms are proposed to solve the problems.
Qi Jia, Kaizhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan   +3 more
wiley   +1 more source

Revolutionising Battery Energy Storage Systems Energy Management: Dynamic‐Aware Solutions With Integrated Quantum Particle Swarm Optimisation and Deep Reinforcement Learning

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT The increasing integration of inverter‐based resources (IBRs) into microgrids (MGs) poses considerable challenges for dynamic stability and energy management, primarily due to their variable and uncertain inertia and damping characteristics.
Yousef Asadi, Mohsen Eskandari, Milad Mansouri   +2 more
wiley   +1 more source

Dynamic Stability Analysis of Multi‐Infeed Wind Power System With Composite Dynamic Short Circuit Ratio

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
A GEDMM is proposed to represent the MIWPS as multiple VSISs and model each of them as the VTDS2M whose unknown parameters are identified with the proposed hybrid optimized square root cubature Kalman filter (HOSRCKF). To solve the issues that the physical meanings of existing short circuit ratios (SCRs) are unclear and the critical values of existing ...
Mengxian Sun, Dongdong Li, Weilun Zhong, Dajun Yu   +3 more
wiley   +1 more source

Interval Model of the Efficiency of the Functioning of Information Web Resources for Services on Ecological Expertise

Mathematics, 2020
Mathematical models of the efficiency dynamics of information web resources are considered in this paper. The application of interval discrete models in the form of difference equations is substantiated and the approach to estimation of the model ...
Mykola Dyvak, Oleksandr Papa, Andrii Melnyk, Andriy Pukas, Nataliya Porplytsya, Artur Rot   +5 more
doaj   +1 more source

Binary PSOGSA for Load Balancing Task Scheduling in Cloud Environment

, 2018
In cloud environments, load balancing task scheduling is an important issue that directly affects resource utilization. Unquestionably, load balancing scheduling is a serious aspect that must be considered in the cloud research field due to the ...
Alnusairi, Thanaa S., Daadaa, Yassine, Shahin, Ashraf A.   +2 more
core   +1 more source

A discrete artificial bee colony algorithm for the Economic Lot Scheduling problem with returns

2014 IEEE Congress on Evolutionary Computation (CEC), 2014
In this study, we model the Economic Lot Scheduling problem with returns (ELSPR) under the basic period (BP) policy with power-of-two (PoT) multipliers, and solve it with a discrete artificial bee colony (DABC) algorithm. Tang and Teunter [1] is the first to consider the well-known economic lot scheduling problem (ELSP) with return flows and ...
Bulut, O., Tasgetiren, M.F.
openaire   +3 more sources

A discrete artificial bee colony algorithm for the team orienteering problem with time windows

2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS), 2013
This paper presents a discrete artificial bee colony algorithm (DABC) for solving the team orienteering problem with time windows (TOPTW). The proposed algorithm employs a destruction and construction procedure to generate neighboring food sources in the framework of the DABC algorithm.
Karabulut, K., Tasgetiren, M.F.
openaire   +2 more sources

Optimizing the Transformer Iron Core Cutting Stock Problem Using a Discrete Artificial Bee Colony Algorithm

Machines
In the manufacturing of iron core for high-power transformers, a cutting stock problem arises where large-width silicon steel coils must be cut into narrower coils, known as strips.
Qiang Luo, Zuogan Tang, Chunrong Pan
doaj   +1 more source