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Optimum design of a seat bracket using artificial neural networks and dandelion optimization algorithm
Nature-inspired metaheuristic algorithms are gaining popularity with their easy applicability
and ability to avoid local optimum points, and they are spreading to wide application areas …
and ability to avoid local optimum points, and they are spreading to wide application areas …
A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems
Nature-inspired metaheuristic optimization algorithms have many applications and are more
often studied than conventional optimization techniques. This article uses the mountain …
often studied than conventional optimization techniques. This article uses the mountain …
A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems
This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Experimental investigation of mechanical properties of PLA, ABS, and PETG 3-d printing materials using fused deposition modeling technique
In recent years, there has been a logarithmic interest in three-dimensional printing
technologies. This technique has made it possible to make more intricately shaped parts of …
technologies. This technique has made it possible to make more intricately shaped parts of …
African vultures optimization algorithm for optimization of shell and tube heat exchangers
Nature-inspired optimization algorithms named meta-heuristics are found to be versatile in
engineering design fields. Their adaptability is also used in various areas of the Internet of …
engineering design fields. Their adaptability is also used in various areas of the Internet of …
Experimental analysis of the effects of different production directions on the mechanical characteristics of ABS, PLA, and PETG materials produced by FDM
One of the most researched technologies among technologies used for producing complex
and diverse parts today is additive manufacturing. In additive manufacturing, production can …
and diverse parts today is additive manufacturing. In additive manufacturing, production can …
A novel hybrid Fick's law algorithm-quasi oppositional–based learning algorithm for solving constrained mechanical design problems
In this article, a recently developed physics-based Fick's law optimization algorithm is
utilized to solve engineering optimization challenges. The performance of the algorithm is …
utilized to solve engineering optimization challenges. The performance of the algorithm is …
Optimum design of additively manufactured aerospace components with different lattice structures
Nowadays, the need for new technologies is increasing, especially to find solutions to the
inadequacies in the production of complex structures. The additive manufacturing methods …
inadequacies in the production of complex structures. The additive manufacturing methods …
Super‐evolutionary mechanism and Nelder‐Mead simplex enhanced salp swarm algorithm for photovoltaic model parameter estimation
H Wu, Y Chen, Z Cai, AA Heidari… - IET Renewable …, 2024 - Wiley Online Library
In the pursuit of enhancing the efficiency of solar cells, accurate estimation of unspecified
parameters in the solar photovoltaic (PV) cell model is imperative. An advanced salp swarm …
parameters in the solar photovoltaic (PV) cell model is imperative. An advanced salp swarm …
Artificial gorilla troops algorithm for the optimization of a fine plate heat exchanger
Adaptability of the metaheuristic (MH) algorithms in multidisciplinary platforms confirms its
significance and effectiveness for the solution of the constraints problems. In this article, one …
significance and effectiveness for the solution of the constraints problems. In this article, one …