Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems
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 …
high-dimensional optimization problems. This method, called the Horse herd Optimization …
Red-tailed hawk algorithm for numerical optimization and real-world problems
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 …
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 …
(SNS), is employed for solving mixed continuous/discrete engineering optimization …
A normal distributed dwarf mongoose optimization algorithm for global optimization and data clustering applications
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 …
has emerged, the need for innovative and intelligent solutions to handle these difficulties …
Special relativity search for applied mechanics and engineering
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 …
problems. The interaction of particles in a magnetic field is considered as an optimizer …
Chaotic sand cat swarm optimization
In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …
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
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 …
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
This paper designed a multipopulation cooperative coevolutionary framework with a two-
stage orthogonal learning (OL) mechanism for the whale optimization algorithm (MCCWOA) …
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
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 …
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
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 …
construction requires considerable amounts of capital and labor. The optimal design of …