Structural optimization in civil engineering: a literature review
Since tremendous resources are consumed in the architecture, engineering, and
construction (AEC) industry, the sustainability and efficiency in this field have received …
construction (AEC) industry, the sustainability and efficiency in this field have received …
Population-based optimization in structural engineering: a review
Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …
can range in size and complexity, many requiring massive amounts of materials and …
Artificial gorilla troops optimizer: a new nature‐inspired metaheuristic algorithm for global optimization problems
B Abdollahzadeh… - … Journal of Intelligent …, 2021 - Wiley Online Library
Metaheuristics play a critical role in solving optimization problems, and most of them have
been inspired by the collective intelligence of natural organisms in nature. This paper …
been inspired by the collective intelligence of natural organisms in nature. This paper …
A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean
This study develops a novel metaheuristic algorithm that is motivated by the behavior of
jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of …
jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of …
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network
J Liu, Y Xia - Swarm and Evolutionary Computation, 2022 - Elsevier
The truss optimization problem has been extensively investigated, and the optimized trusses
have been widely used in various fields. Truss optimization is a challenging optimization …
have been widely used in various fields. Truss optimization is a challenging optimization …
Chaotic coyote algorithm applied to truss optimization problems
The optimization of truss structures is a complex computing problem with many local minima,
while metaheuristics are naturally suited to deal with multimodal problems without the need …
while metaheuristics are naturally suited to deal with multimodal problems without the need …
A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking
Due to its simplicity and efficiency, a recently proposed optimization algorithm, Sine Cosine
Algorithm (SCA), has gained the interest of researchers from various fields for solving …
Algorithm (SCA), has gained the interest of researchers from various fields for solving …
A new hybrid artificial hummingbird-simulated annealing algorithm to solve constrained mechanical engineering problems
Nature-inspired algorithms known as metaheuristics have been significantly adopted by
large-scale organizations and the engineering research domain due their several …
large-scale organizations and the engineering research domain due their several …
Application of the novel harmony search optimization algorithm for DBSCAN clustering
Q Zhu, X Tang, A Elahi - Expert Systems with Applications, 2021 - Elsevier
At present, the DBSCAN clustering algorithm has been commonly used principally due to its
ability in discovering clusters with arbitrary shapes. When the cluster number K is …
ability in discovering clusters with arbitrary shapes. When the cluster number K is …
Size, shape, and topology optimization of planar and space trusses using mutation-based improved metaheuristics
In this study, simultaneous size, shape, and topology optimization of planar and space
trusses are investigated. Moreover, the trusses are subjected to constraints for element …
trusses are investigated. Moreover, the trusses are subjected to constraints for element …