A novel bio-inspired optimization algorithm design for wind power engineering applications time-series forecasting
Wind patterns can change due to climate change, causing more storms, hurricanes, and
quiet spells. These changes can dramatically affect wind power system performance and …
quiet spells. These changes can dramatically affect wind power system performance and …
A recommendation system for electric vehicles users based on restricted Boltzmann machine and waterwheel plant algorithms
Ensuring reliable and easily accessible charging infrastructure becomes crucial as more
people adopt electric vehicles. This study introduces a recommendation system designed to …
people adopt electric vehicles. This study introduces a recommendation system designed to …
Improved dipper-throated optimization for forecasting metamaterial design bandwidth for engineering applications
Metamaterials have unique physical properties. They are made of several elements and are
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
An improved binary quantum-based avian navigation optimizer algorithm to select effective feature subset from medical data: A COVID-19 case study
Abstract Feature Subset Selection (FSS) is an NP-hard problem to remove redundant and
irrelevant features particularly from medical data, and it can be effectively addressed by …
irrelevant features particularly from medical data, and it can be effectively addressed by …
MTV-SCA: multi-trial vector-based sine cosine algorithm
The sine cosine algorithm (SCA) is a metaheuristic algorithm that employs the
characteristics of sine and cosine trigonometric functions. SCA's deficiencies include a …
characteristics of sine and cosine trigonometric functions. SCA's deficiencies include a …
Enhanced multi-layer perceptron for CO2 emission prediction with worst moth disrupted moth fly optimization (WMFO)
OR Adegboye, ED Ülker, AK Feda, EB Agyekum… - Heliyon, 2024 - cell.com
This study introduces the Worst Moth Disruption Strategy (WMFO) to enhance the Moth Fly
Optimization (MFO) algorithm, specifically addressing challenges related to population …
Optimization (MFO) algorithm, specifically addressing challenges related to population …
Optimizing truss structures using composite materials under natural frequency constraints with a new hybrid algorithm based on cuckoo search and stochastic paint …
This article highlights the absence of published paradigms hybridized by The Cuckoo
Search (CS) and Stochastic Paint Optimizer (SPO) for optimizing truss structures using …
Search (CS) and Stochastic Paint Optimizer (SPO) for optimizing truss structures using …
Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer
W **nxin, S **aopan, A Xueyi, L Shijia - Plos one, 2023 - journals.plos.org
Wind energy, as a kind of environmentally friendly renewable energy, has attracted a lot of
attention in recent decades. However, the security and stability of the power system is …
attention in recent decades. However, the security and stability of the power system is …
BYDSEX: Binary Young's double-slit experiment optimizer with adaptive crossover for feature selection: Investigating performance issues of network intrusion …
Contemporary advancements in technology provide vast quantities of data with large
dimensions, leading to high computing burdens. These big data quantities suffer from …
dimensions, leading to high computing burdens. These big data quantities suffer from …
Predicting normalized difference vegetation index using a deep attention network with bidirectional GRU: a hybrid parametric optimization approach
Scalable and accurate normalized difference vegetation index (NDVI) prediction is
necessary to track the status of vegetation and the environment and to support proper …
necessary to track the status of vegetation and the environment and to support proper …