AbstractThis paper develops a hybrid approach, based on genetic algorithms and simplex method, to optimize the accuracy of a manufacturing process by material pultrusion. The numerical model, proposed in a recent paper of the same authors, is solved by a finite difference scheme. The analysis technically shows the efficiency of the optimization algorithm
[[abstract]]In this paper, we present a Hybrid Particle Swarm Optimization (HPSO) algorithm that com...
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful comput...
Purpose: This paper explores the capabilities of genetic algorithms in handling optimization of the ...
This paper develops a hybrid approach, based on genetic algorithms and simplex method, to optimize t...
This paper deals with a hybrid optimization of the degree of cure and temperature field into the wor...
In this paper thermo-chemical simulation of the pultrusion process of a composite rod is first used ...
Pultrusion is one of the most cost-effective manufacturing techniques for producing fiber-reinforced...
Pultrusion is one of the most effective manufacturing processes for producing composites with consta...
This paper deals with the modelling and development of computational schemes to simulate pultrusion ...
Composite materials, as the name indicates, are composed of different materials that yield superior ...
This paper presents a novel optimization approach that is a new hybrid optimization approach based o...
This paper proposes the use of genetic algorithms for process optimization and calibra-tion of model...
AbstractThis paper addresses the multi-objective optimisation of the cure stage of composites manufa...
This paper addresses the multi-objective optimisation of the cure stage of composites manufacture. T...
Genetic Algorithms techniques and methodologies have been deeply analyzed considering practical appl...
[[abstract]]In this paper, we present a Hybrid Particle Swarm Optimization (HPSO) algorithm that com...
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful comput...
Purpose: This paper explores the capabilities of genetic algorithms in handling optimization of the ...
This paper develops a hybrid approach, based on genetic algorithms and simplex method, to optimize t...
This paper deals with a hybrid optimization of the degree of cure and temperature field into the wor...
In this paper thermo-chemical simulation of the pultrusion process of a composite rod is first used ...
Pultrusion is one of the most cost-effective manufacturing techniques for producing fiber-reinforced...
Pultrusion is one of the most effective manufacturing processes for producing composites with consta...
This paper deals with the modelling and development of computational schemes to simulate pultrusion ...
Composite materials, as the name indicates, are composed of different materials that yield superior ...
This paper presents a novel optimization approach that is a new hybrid optimization approach based o...
This paper proposes the use of genetic algorithms for process optimization and calibra-tion of model...
AbstractThis paper addresses the multi-objective optimisation of the cure stage of composites manufa...
This paper addresses the multi-objective optimisation of the cure stage of composites manufacture. T...
Genetic Algorithms techniques and methodologies have been deeply analyzed considering practical appl...
[[abstract]]In this paper, we present a Hybrid Particle Swarm Optimization (HPSO) algorithm that com...
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful comput...
Purpose: This paper explores the capabilities of genetic algorithms in handling optimization of the ...