A comprehensive survey: Whale Optimization Algorithm and its applications

FS Gharehchopogh, H Gholizadeh - Swarm and Evolutionary Computation, 2019 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …

Modified whale optimization algorithm based on tent chaotic mapping and its application in structural optimization

Y Li, M Han, Q Guo - KSCE Journal of Civil Engineering, 2020 - Springer
In this paper, a novel modified whale optimization algorithm based on Tent chaos map and
tournament selection strategy (MWOA) was presented. The aim of the improved algorithm is …

An improved whale optimization algorithm for forecasting water resources demand

W Guo, T Liu, F Dai, P Xu - Applied Soft Computing, 2020 - Elsevier
Water demand forecasting can promote the rational use of water resources and alleviate the
pressure on water demand. By analyzing the use of water resources, this paper establishes …

Binary whale optimization algorithm and binary moth flame optimization with clustering algorithms for clinical breast cancer diagnoses

GI Sayed, A Darwish, AE Hassanien - Journal of Classification, 2020 - Springer
Abstract Models based on machine learning algorithms have been developed to detect the
breast cancer disease early. Feature selection is commonly applied to improve the …

Whale optimization algorithm-comprehensive meta analysis on hybridization, latest improvements, variants and applications for complex optimization problems

P Majumdar, S Mitra, S Mirjalili… - Handbook of Whale …, 2024 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is an emerging metaheuristics that uses
humpback whale's bubble-net hunting scheme to solve challenging optimization problems …

Solving course timetabling problem using Whale Optimization Algorithm

LD Austero, AM Sison, JB Matias… - 2022 8th International …, 2022 - ieeexplore.ieee.org
For academic institutions, creating a conflict-free course schedule or timetable is a difficult
and time-consuming task. Timetabling is a well-known NP-hard combinatorial problem. Its …

Heuristic-Based Ensemble Model Selection Strategy with Parameter Tuning for Optimal Diabetes Mellitus Prediction

G Kulkarni, C Manike - International Journal of Image and Graphics, 2024 - World Scientific
Diabetes is a terrible health situation characterized by high-rise blood glucose levels. If it is
not predicted at an early stage, then it generates the problems in the human body like kidney …

Fuzzy dynamic parameter adaptation for particle swarm optimization of modular granular neural networks applied to time series prediction

D Sánchez, P Melin, O Castillo - … of Hybrid Intelligent Systems Based on …, 2021 - Springer
In this paper the optimization of Modular Granular Neural Networks (MGNNs) using a
Particle Swarm Optimization (PSO) approach is proposed. PSO uses dynamic parameter …

A Systematic Literature Review Of Mental Health Diagnostic Using K-Nearest Neighbour-Whale Optimization Algorithm

F Septian, K Kusrini, T Hidayat - SISKOMTI: Jurnal Sistem …, 2023 - ejournal.uniled.ac.id
People including unborn infants are negatively impacted by a number of things, such as
noise. Noise and the others aspect could affect somebody mental health. Mental health as …

A Chaotic Elephant Herding Optimization-Established Classification (EHOC) for Large Dataset to expand the appearance of Heterogeneous Distributed Situation.

R Pandey, S Silakari - Turkish Online Journal of Qualitative …, 2021 - search.ebscohost.com
Data clustering (or classification) is broadly exploited for an enormous range of applications
in numerous regions such as education, remedial, invention, and organizations in …