A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
MH Nadimi-Shahraki, H Zamani… - … Methods in Engineering, 2023 - Springer
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
WOASCALF: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problems
A Seyyedabbasi - Advances in Engineering Software, 2022 - Elsevier
In recent years, researchers have been focused on solving optimization problems in order to
determine the global optimum. Increasing the dimension of a problem increases its …
determine the global optimum. Increasing the dimension of a problem increases its …
Squid game optimizer (SGO): A novel metaheuristic algorithm
Abstract In this paper, Squid Game Optimizer (SGO) is proposed as a novel metaheuristic
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …
Drawer Algorithm: A New Metaheuristic Approach for Solving Optimization Problems in Engineering
Metaheuristic optimization algorithms play an essential role in optimizing problems. In this
article, a new metaheuristic approach called the drawer algorithm (DA) is developed to …
article, a new metaheuristic approach called the drawer algorithm (DA) is developed to …
Uncovering structural bias in population-based optimization algorithms: A theoretical and simulation-based analysis of the generalized signature test
Population-based optimization algorithms are popular tools for optimization, influenced by
two interactive factors: landscape bias, which guides the population toward better objective …
two interactive factors: landscape bias, which guides the population toward better objective …
Hyperparameter optimization of deep CNN classifier for plant species identification using artificial bee colony algorithm
Tailoring a deep convolutional neural network (CNN) for an implementation is a tedious and
time-consuming task especially in image identification. In this study, an optimization scheme …
time-consuming task especially in image identification. In this study, an optimization scheme …
2D fully chaotic map for image encryption constructed through a quadruple-objective optimization via artificial bee colony algorithm
In this study, a novel 2D fully chaotic map (FULLMAP) derived through a multi-objective
optimization strategy with artificial bee colony (ABC) algorithm is introduced for image …
optimization strategy with artificial bee colony (ABC) algorithm is introduced for image …
ABC algorithm-based optimization and evaluation of nano carbon black added multi-layer microwave absorbing ultra weight foam concrete
SA Yildizel, A Toktas - Materials Today Communications, 2022 - Elsevier
This research presents a study on the nano-carbon black (NCB) added ultra-weight foam
concrete by revealing its potential utilization of multi-layer microwave absorbing foam …
concrete by revealing its potential utilization of multi-layer microwave absorbing foam …
An image encryption scheme based on an optimal chaotic map derived by multi-objective optimization using ABC algorithm
A novel optimal chaotic map (OCM) is proposed for image encryption scheme (IES). The
OCM is constructed using a multi-objective optimization strategy through artificial bee colony …
OCM is constructed using a multi-objective optimization strategy through artificial bee colony …
Discrete sizing design of steel truss bridges through teaching-learning-based and biogeography-based optimization algorithms involving dynamic constraints
Abstract In this paper, Teaching-Learning Based Optimization (TLBO) and Biogeography-
Based Optimization (BBO) algorithms are presented to examine the optimum discrete sizing …
Based Optimization (BBO) algorithms are presented to examine the optimum discrete sizing …