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 …
Optimization of electric vehicle design problems using improved electric eel foraging optimization algorithm
This paper introduces a novel approach, the Modified Electric Eel Foraging Optimization
(EELFO) algorithm, which integrates artificial neural networks (ANNs) with metaheuristic …
(EELFO) algorithm, which integrates artificial neural networks (ANNs) with metaheuristic …
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 …
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 …
Optimum design of a composite drone component using slime mold algorithm
Composite materials have a wide range of applications in many industries due to their
manufacturability, high strength values, and light filling. The sector where composite …
manufacturability, high strength values, and light filling. The sector where composite …
An enhanced dynamic differential annealed algorithm for global optimization and feature selection
Dynamic differential annealed optimization (DDAO) is a recently developed physics-based
metaheuristic technique that mimics the classical simulated annealing mechanism …
metaheuristic technique that mimics the classical simulated annealing mechanism …
Artificial neural network infused quasi oppositional learning partial reinforcement algorithm for structural design optimization of vehicle suspension components
This paper introduces and investigates an enhanced Partial Reinforcement Optimization
Algorithm (E-PROA), a novel evolutionary algorithm inspired by partial reinforcement theory …
Algorithm (E-PROA), a novel evolutionary algorithm inspired by partial reinforcement theory …
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 …
Experimental and numerical investigation of crash performances of additively manufactured novel multi-cell crash box made with CF15PET, PLA, and ABS
In this study, a novel multi-cell crash box was designed and produced using 15% short
carbon fiber reinforced polyethylene terephthalate (CF15PET), polylactic acid (PLA), and …
carbon fiber reinforced polyethylene terephthalate (CF15PET), polylactic acid (PLA), and …
Enhancing the performance of a additive manufactured battery holder using a coupled artificial neural network with a hybrid flood algorithm and water wave algorithm
BS Yildiz - Materials Testing, 2024 - degruyter.com
This research is the first attempt in the literature to combine design for additive
manufacturing and hybrid flood algorithms for the optimal design of battery holders of an …
manufacturing and hybrid flood algorithms for the optimal design of battery holders of an …