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' …

An archive-based multi-objective arithmetic optimization algorithm for solving industrial engineering problems

N Khodadadi, L Abualigah, ESM El-Kenawy… - IEEE …, 2022 - ieeexplore.ieee.org
This research proposes an Archive-based Multi-Objective Arithmetic Optimization Algorithm
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …

Dynamic arithmetic optimization algorithm for truss optimization under natural frequency constraints

N Khodadadi, V Snasel, S Mirjalili - IEEE Access, 2022 - ieeexplore.ieee.org
Metaheuristic algorithms have successfully been used to solve any type of 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) …

Structural symmetry recognition in planar structures using convolutional neural networks

P Zhang, W Fan, Y Chen, J Feng, P Sareh - Engineering Structures, 2022 - Elsevier
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 …

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 …

Squid game optimizer (SGO): A novel metaheuristic algorithm

M Azizi, M Baghalzadeh Shishehgarkhaneh, M Basiri… - Scientific reports, 2023 - nature.com
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 …

Unified space approach-based Dynamic Switched Crowding (DSC): a new method for designing Pareto-based multi/many-objective algorithms

HT Kahraman, M Akbel, S Duman, M Kati… - Swarm and Evolutionary …, 2022 - Elsevier
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 …

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 …

MOTEO: a novel multi-objective thermal exchange optimization algorithm for engineering problems

N Khodadadi, S Talatahari, A Dadras Eslamlou - Soft Computing, 2022 - Springer
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 …