An enhanced whale optimization algorithm for large scale optimization problems

S Chakraborty, AK Saha, R Chakraborty… - Knowledge-Based …, 2021 - Elsevier
Whale optimization algorithm was developed based on the prey-catching characteristics of
the humpback whales. Due to its simple structure and efficiency, the researchers employed …

Boosting whale optimizer with quasi-oppositional learning and Gaussian barebone for feature selection and COVID-19 image segmentation

J Xing, H Zhao, H Chen, R Deng, L Xiao - Journal of bionic engineering, 2023 - Springer
Whale optimization algorithm (WOA) tends to fall into the local optimum and fails to converge
quickly in solving complex problems. To address the shortcomings, an improved WOA …

Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm

N Bacanin, V Simic, M Zivkovic, M Alrasheedi… - Annals of Operations …, 2023 - Springer
Computer resources provision over the internet resulted in the wide spread usage of cloud
computing paradigm. With the use of such resources come certain challenges that can …

[HTML][HTML] Hyperparameter Tuning of Load-Forecasting Models Using Metaheuristic Optimization Algorithms—A Systematic Review

U Mumtahina, S Alahakoon, P Wolfs - Mathematics, 2024 - mdpi.com
Load forecasting is an integral part of the power industries. Load-forecasting techniques
should minimize the percentage error while prediction future demand. This will inherently …

Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism

J Dogani, F Khunjush, MR Mahmoudi… - The Journal of …, 2023 - Springer
The resources required to service cloud computing applications are dynamic and fluctuate
over time in response to variations in the volume of incoming requests. Proactive …

Recent advances of whale optimization algorithm, its versions and applications

ZAA Alyasseri, NS Ali, MA Al-Betar… - Handbook of Whale …, 2024 - Elsevier
Swarm intelligence (SI) is an approach inspired by natural phenomena that have been
implemented in the optimization field. This field has rapidly increased very fast recently. The …

A framework for predicting the carbonation depth of concrete incorporating fly ash based on a least squares support vector machine and metaheuristic algorithms

K Zhang, K Zhang, R Bao, X Liu - Journal of Building Engineering, 2023 - Elsevier
The carbonation of concrete structures is becoming a more serious problem as the global
CO 2 level increases, and poses a great challenge to concrete durability research. In this …

Enhancing IoT (Internet of Things) feature selection: A two-stage approach via an improved whale optimization algorithm

K Zhang, Y Liu, X Wang, F Mei, G Sun… - Expert Systems with …, 2024 - Elsevier
Feature selection is a critical task for optimizing system performance and reducing
computational overhead in the context of Internet of Things (IoT) applications. This paper …

Multi-objective ship path planning using non-dominant relationship-based WOA in marine meteorological environment

Q Han, X Yang, H Song, W Du - Ocean Engineering, 2022 - Elsevier
Marine environmental issues have become increasingly prominent in recent years, and
ocean transportation has also received extensive attention. Relevant personnel is …

Network Security Situation Prediction Model Based on VMD Decomposition and DWOA Optimized BiGRU-ATTN Neural Network

S Zhang, Q Fu, D An - IEEE Access, 2023 - ieeexplore.ieee.org
The widespread adoption of Internet-of-Things (IoT) devices has resulted in a
comprehensive transformation of human life. However, the network security challenges …