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 …
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
New machine learning method for image-based diagnosis of COVID-19
COVID-19 is a worldwide epidemic, as announced by the World Health Organization (WHO)
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
Whale optimization algorithm: theory, literature review, and application in designing photonic crystal filters
This chapter presents and analyzes the Whale Optimization Algorithm. The inspiration of this
algorithm is first discussed in details, which is the bubble-net foraging behaviour of …
algorithm is first discussed in details, which is the bubble-net foraging behaviour of …
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance
J Tu, H Chen, J Liu, AA Heidari, X Zhang… - Knowledge-Based …, 2021 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …
some spotted defects in its generated patterns during the searching phases. In this study, an …
Improved salp swarm algorithm based on particle swarm optimization for feature selection
Feature selection (FS) is a machine learning process commonly used to reduce the high
dimensionality problems of datasets. This task permits to extract the most representative …
dimensionality problems of datasets. This task permits to extract the most representative …
Improved grasshopper optimization algorithm using opposition-based learning
This paper proposes an improved version of the grasshopper optimization algorithm (GOA)
based on the opposition-based learning (OBL) strategy called OBLGOA for solving …
based on the opposition-based learning (OBL) strategy called OBLGOA for solving …
An efficient double adaptive random spare reinforced whale optimization algorithm
H Chen, C Yang, AA Heidari, X Zhao - Expert Systems with Applications, 2020 - Elsevier
Whale optimization algorithm (WOA) is a newly developed meta-heuristic algorithm, which is
mainly based on the predation behavior of humpback whales in the ocean. In this paper, a …
mainly based on the predation behavior of humpback whales in the ocean. In this paper, a …
Hybrid filter-wrapper feature selection using whale optimization algorithm: A multi-objective approach
Feature selection aims at finding the minimum number of features that result in high
classification accuracy. Accordingly, the feature selection is considered as a multi-objective …
classification accuracy. Accordingly, the feature selection is considered as a multi-objective …
A whale optimization algorithm (WOA) approach for clustering
J Nasiri, FM Khiyabani - Cogent Mathematics & Statistics, 2018 - Taylor & Francis
Clustering is a powerful technique in data-mining, which involves identifing homogeneous
groups of objects based on the values of attributes. Meta-heuristic algorithms such as …
groups of objects based on the values of attributes. Meta-heuristic algorithms such as …
Nonlinear-based chaotic harris hawks optimizer: algorithm and internet of vehicles application
Abstract Harris Hawks Optimizer (HHO) is one of the many recent algorithms in the field of
metaheuristics. The HHO algorithm mimics the cooperative behavior of Harris Hawks and …
metaheuristics. The HHO algorithm mimics the cooperative behavior of Harris Hawks and …