... manifolds. A rule-based automation approach is employed in conjunction with a genetic algorithm. Findings The efficacy of these algorithms is demonstrated through a case study. The resulting designs are manufactured, evaluated and compared based on performance- and cost-related criteria. The study...

... aims to optimize the FFF process by analyzing the effects of liquefier temperature, platform temperature and print speed using artificial neural networks (ANNs) and genetic algorithms (GAs). Design/methodology/approach A hybrid approach combining ANNs and GAs was employed to model and optimize...

... height which are referred to as “input variables” were investigated. The conflicting influence of their simultaneous variations on the DA of printed parts was investigated and predicated. To achieve this goal, a hybrid Genetic Algorithm – Artificial Neural Network (GA-ANN) model, was developed in C#.net...

... support. To solve these two subproblems, this paper develops three efficient metaheuristic algorithms, i.e. genetic algorithm (GA), genetic programming (GP) and particle swarm optimization (PSO). They are problem-independent and are powerful in global search. For the first subproblem, considering the path...

...Valiollah Panahizadeh; Amir Hossein Ghasemi; Yaghoub Dadgar Asl; Mohammadmahdi Davoudi Purpose This paper aims to study multiobjective genetic algorithm ability in determining the process parameter and postprocess condition that leads to maximum relative density (RD) and minimum surface roughness...

..., which consists of the four major process parameters of laser power, scan speed, hatch spacing, layer thickness and RD data. A back propagation neural network (BPNN) model, along with its two optimized models: genetic algorithm (GA) optimized BPNN (GA-BPNN) and adaptive GA optimized BPNN (AGA-BPNN...

... as a constraint. Design/methodology/approach A hybrid of genetic algorithm (GA) and particle swarm optimization (PSO) is proposed to address the topology optimization of the tree-shaped support structures, where GA optimizes the topologies of the trees and PSO optimizes the geometry of a fixed tree-topology...