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' …
An archive-based multi-objective arithmetic optimization algorithm for solving industrial engineering problems
This research proposes an Archive-based Multi-Objective Arithmetic Optimization Algorithm
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …
Dynamic arithmetic optimization algorithm for truss optimization under natural frequency constraints
Metaheuristic algorithms have successfully been used to solve any type of optimization
problem in the field of structural engineering. The newly proposed Arithmetic Optimization …
problem in the field of structural engineering. The newly proposed Arithmetic Optimization …
MOAVOA: a new multi-objective artificial vultures optimization algorithm
N Khodadadi, F Soleimanian Gharehchopogh… - Neural Computing and …, 2022 - Springer
This paper presents a multi-objective version of the artificial vultures optimization algorithm
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
Structural symmetry recognition in planar structures using convolutional neural networks
In both natural and man-made structures, symmetry provides a range of desirable properties
such as uniform distributions of internal forces, concise transmission paths of forces, as well …
such as uniform distributions of internal forces, concise transmission paths of forces, as well …
Non-dominated sorting advanced butterfly optimization algorithm for multi-objective problems
S Sharma, N Khodadadi, AK Saha… - Journal of Bionic …, 2023 - Springer
This paper uses the Butterfly Optimization Algorithm (BOA) with dominated sorting and
crowding distance mechanisms to solve multi-objective optimization problems. There is also …
crowding distance mechanisms to solve multi-objective optimization problems. There is also …
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 …
Unified space approach-based Dynamic Switched Crowding (DSC): a new method for designing Pareto-based multi/many-objective algorithms
This study proposes a robust method to improve the search performance of multi-objective
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …
Truss optimization with natural frequency constraints using generalized normal distribution optimization
N Khodadadi, S Mirjalili - Applied Intelligence, 2022 - Springer
Abstract The newly proposed Generalized Normal Distribution Optimization (GNDO)
algorithm is used to design the truss structures with optimal weight. All trusses optimized …
algorithm is used to design the truss structures with optimal weight. All trusses optimized …
MOTEO: a novel multi-objective thermal exchange optimization algorithm for engineering problems
In the present paper, a physics-inspired metaheuristic algorithm is presented to solve multi-
objective optimization problems. The algorithm is developed based on the concept of …
objective optimization problems. The algorithm is developed based on the concept of …