Results 101 to 110 of about 41,487 (244)

Microstrip Coupler Design Using Bat Algorithm

, 2014
Evolutionary and swarm algorithms have found many applications in design problems since todays computing power enables these algorithms to find solutions to complicated design problems very fast.
Ulker, Ezgi Deniz, Ulker, Sadik
core   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu, Ruoxiao Liu, Wenxin Li, Zhenming Su, Long Jin   +4 more
wiley   +1 more source

A Review of Human–AI Synergy in Smart Energy Management Concepts, Functions, Applications, and Future Frontiers

Energy Internet, EarlyView.
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An, Jing Qiu, Jiafeng Lin, Zhe Yuan, Weiyi Tian, Zongyu Yao   +5 more
wiley   +1 more source

The Hybrid ColorAnt-RT Algorithms and an Application to Register Allocation

Inteligencia Artificial, 2015
Ant Colony Optimization is a metaheuristic used to create heuristic algorithms to find good solutions for combinatorial optimization problems. This metaheuristic is inspired on the effective behavior present in some species of ants of exploring the ...
Mauro Mulati,, Carla Lintzmayer, Anderson da Silva   +2 more
doaj   +1 more source

RRT-Based Optimizer: A Novel Metaheuristic Algorithm Based on Rapidly-Exploring Random Trees Algorithm

IEEE Access
Real-world optimization problems are becoming increasingly complex and require effective and versatile algorithms to provide reliable solutions. However, the no-free-lunch theorem indicates that no single optimization algorithm can solve all optimization
Guang-Jin Lai, Tao Li, Bao-Jun Shi
doaj   +1 more source

Multiclass feature selection with metaheuristic optimization algorithms: a review. [PDF]

Neural Comput Appl, 2022
Akinola OO, Ezugwu AE, Agushaka JO, Zitar RA, Abualigah L.   +4 more
europepmc   +1 more source

Evaluating the Applications of Dendritic Neuron Model with Metaheuristic Optimization Algorithms for Crude-Oil-Production Forecasting. [PDF]

Entropy (Basel), 2022
Al-Qaness MAA, Ewees AA, Abualigah L, AlRassas AM, Thanh HV, Abd Elaziz M.   +5 more
europepmc   +1 more source

Block scheduling in practice: An optimal decomposition strategy for nonidentical operating rooms

Decision Sciences, EarlyView.
Abstract We develop and implement a Master Surgery Schedule for a real‐life hospital, assigning operating room (OR) time to surgical specialties over a multi‐week horizon. Through action research, we identify a critical operational challenge: the issue of split blocks. Split blocks allow two specialties to share an OR on the same day—one in the morning,
Vincent J. J. van Ham, Alex Kuiper, Robert H. Lee   +2 more
wiley   +1 more source

Plant stem tissue modeling and parameter identification using metaheuristic optimization algorithms. [PDF]

Sci Rep, 2022
Ghoneim MS, Gadallah SI, Said LA, Eltawil AM, Radwan AG, Madian AH.   +5 more
europepmc   +1 more source