Results 61 to 70 of about 3,893,814 (155)

A Multi-Strategy Improved Arithmetic Optimization Algorithm

, 2022
To improve the performance of the arithmetic optimization algorithm (AOA) and solve problems in the AOA, a novel improved AOA using a multi-strategy approach is proposed. Firstly, circle chaotic mapping is used to increase the diversity of the population.
Zhilei Liu, Qi Yu, Mingying Li, Hongxiang Song, Guibing Pang, Hui Zhang   +5 more
core   +1 more source

Optimizing Fast Learning Network Using Fuzzy Adaptive Metaheuristic Algorithms for Robust Intrusion Detection

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
In today’s digital era, the prevalence of cyberattacks requires robust security measures to keep sensitive and confidential information and infrastructure safe and secure. The intrusion detection system (IDS) plays the most vital role in this aspect by serving as a first‐line defense against these malicious activities and potential breaches. This paper
Fakhrud Din, Fida Ur Rahman, Dost Muhammad, Mohammad Hasan Ali, Mushtaq Ali, Malika Bendechache, Cheng-Jian Lin   +6 more
wiley   +1 more source

Reliability Optimization of Hybrid Systems Driven by Constraint Importance Measure Considering Different Cost Functions

Mathematics, 2023
The requirements of high reliability for hybrid systems are urgent for engineers to maximize the system reliability under the limited cost budget. The cost constraint importance measure (CIM) is an important tool to achieve the local optimal solution by ...
Jiangbin Zhao, Mengtao Liang, Rongyu Tian, Zaoyan Zhang, Xiangang Cao   +4 more
doaj   +1 more source

Deep Features Extracted Using AlexNet and Feature Selection With Gompertz Binary Marine Predator Optimisation Algorithm for Breast Mass Classification From Mammograms

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Breast cancer continues to be one of the most common cancers in women throughout the entire world. Medical professionals analyse mammogram images to identify suspicious patterns, which most frequently appear as masses. The development of these masses stems from groups of cells that have become more dense than their surroundings.
Navreet Kaur, Garima Thakur, Himanshu Dhumras, Zhe Liu, Zhaocai Wang   +4 more
wiley   +1 more source

An Enhanced Artemisinin Optimization Algorithm for the Optimal Position and Size of Energy Storage System on the Distribution Networks With Multi‐Objectives

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Integrating renewable energy into the radial distribution network (RDN) poses challenges related to stability, reliability, and network operation. An energy storage system (ESS) incorporated into the RDN is a potential approach to addressing these challenges. Thus, we aim to optimize the allocation and operation of the ESS in this study.
Hung Duc Nguyen, Ly Huu Pham, Quoc Trung Nguyen, Paolo Castaldo   +3 more
wiley   +1 more source

A Flexible Management Strategy for the Optimal Integration of Renewable Energy Resources

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
In this study, an adaptive management strategy for optimal integration of renewable energy resources with IEEE‐69 bus distribution network (DN) is presented. The first layer takes into account coordination between the sources and utility grid in order to optimize their profit in proposed markets, according to limitations of renewable sources.
Bilal Naji Alhasnawi, Vladimír Bureš, Alžběta Dočekalová   +2 more
wiley   +1 more source

Hybrid Deep Learning and Boosting‐Based Approach for Charging Speed Prediction in Electric Vehicles

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Accurate estimation of charging speed in electric vehicles (EVs) is crucial for driving safety, mitigating battery degradation, improving energy efficiency, and optimizing intelligent state of charge (SOC) management strategies. This study proposes a hybrid long short‐term memory (LSTM)‐LSBoost model for charging speed prediction and compares its ...
Tuba Tanyıldızı Ağır
wiley   +1 more source

An Improved Arithmetic Optimization Algorithm With Multi-Strategy Variable Step Size for Optimizing Engineering Problems

IEEE Access
Arithmetic Optimization Algorithm (AOA) has attracted considerable attention owing to its efficient search mechanism; however, it still exhibits deficiencies in optimization accuracy and convergence speed.
Jun Liu
doaj   +1 more source

JayaX: Jaya algorithm with xor operator for binary optimization

, 2019
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained and unconstrained optimization problems. The peculiar distinct feature of Jaya from the other population-based algorithms is that it updates the positions of ...
Aslan, Murat, Gündüz, Mesut, Kıran, Mustafa Servet   +2 more
core   +1 more source

An improved arithmetic optimization algorithm for training feedforward neural networks under dynamic environments

, 2023
This paper proposes an improved Arithmetic Optimization Algorithm (AOA) to train artificial neural networks (ANNs) under dynamic environments.
Golcuk, Ilker, ÖZSOYDAN, FEHMİ BURÇİN, DURMAZ, ESRA DUYGU   +2 more
core   +1 more source