Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems

F MiarNaeimi, G Azizyan, M Rashki - Knowledge-Based Systems, 2021 - Elsevier
This paper proposes a new meta-heuristic algorithm inspired by horses' herding behavior for
high-dimensional optimization problems. This method, called the Horse herd Optimization …

Red-tailed hawk algorithm for numerical optimization and real-world problems

S Ferahtia, A Houari, H Rezk, A Djerioui… - Scientific Reports, 2023 - nature.com
This study suggests a new nature-inspired metaheuristic optimization algorithm called the
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …

Social network search for solving engineering optimization problems

H Bayzidi, S Talatahari, M Saraee… - Computational …, 2021 - Wiley Online Library
In this paper, a new metaheuristic optimization algorithm, called social network search
(SNS), is employed for solving mixed continuous/discrete engineering optimization …

A normal distributed dwarf mongoose optimization algorithm for global optimization and data clustering applications

F Aldosari, L Abualigah, KH Almotairi - Symmetry, 2022 - mdpi.com
As data volumes have increased and difficulty in tackling vast and complicated problems
has emerged, the need for innovative and intelligent solutions to handle these difficulties …

Special relativity search for applied mechanics and engineering

V Goodarzimehr, S Talatahari, S Shojaee… - Computer Methods in …, 2023 - Elsevier
Abstract In this paper, Special Relativity Search (SRS) is developed for solving engineering
problems. The interaction of particles in a magnetic field is considered as an optimizer …

Chaotic sand cat swarm optimization

F Kiani, S Nematzadeh, FA Anka, MA Findikli - Mathematics, 2023 - mdpi.com
In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …

Manta ray foraging optimization algorithm and hybrid Taguchi salp swarm-Nelder–Mead algorithm for the structural design of engineering components

AR Yildiz, P Mehta - Materials Testing, 2022 - degruyter.com
The adaptability of metaheuristics is proliferating rapidly for optimizing engineering designs
and structures. The imperative need for the fuel-efficient design of vehicles with lightweight …

A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism

F Zhao, H Bao, L Wang, J Cao, J Tang - Knowledge-Based Systems, 2022 - Elsevier
This paper designed a multipopulation cooperative coevolutionary framework with a two-
stage orthogonal learning (OL) mechanism for the whale optimization algorithm (MCCWOA) …

Reptile search algorithm and kriging surrogate model for structural design optimization with natural frequency constraints

BS Yildiz, S Bureerat, N Panagant, P Mehta… - Materials …, 2022 - degruyter.com
This study explores the use of a recent metaheuristic algorithm called a reptile search
algorithm (RSA) to handle engineering design optimization problems. It is the first …

GNDO-SVR: An efficient surrogate modeling approach for reliability-based design optimization of concrete dams

MJG Rad, S Ohadi, J Jafari-Asl, A Vatani… - Structures, 2022 - Elsevier
Dams are considered as the critical part of infrastructure of any country, and their
construction requires considerable amounts of capital and labor. The optimal design of …