Add to ORKGStructural Optimization has been widely studied issue during the last 50 years. Although Mathematical Programming initially the most-used technique, it has been replaced by other metaheuristic techniques. Among them, Genetic Algorithms is the most remarkable. This paper will cover a little description of each technique as well as the main reports and drawbacks. Finally, the most-used structure for benchmarking will be depicted, and the best reported results shown and commented.Sánchez Caballero, S.; Sellés Cantó, MÁ.; Plá Ferrando, R.; Martínez Sanz, AV.; Peydro Rasero, MÁ. (2012). Recent advances in structural optimization. Annals of The University of Oradea. 1(21):118-127. http://hdl.handle.net/10251/35915S11812712
Abstract There are typically three broad categories of structural optimization namely size, shape an...
One of the aims of this study is to compare the genetic algorithm used as a method of parametric opt...
The built environment is responsible for a large share of global greenhouse gas emissions. About 25 ...
Structural Optimization has been widely studied issue during the last 50 years. Although Mathematica...
There are so many ways for structural optimization, one of them is genetic algorithm as ‘tools’ of ...
Metaheuristic algorithms have provided efficient tools to engineering designers by which it became p...
In 1981, the Optimal Structural Design Committee of ASCE identified impediments preventing structura...
An approach based on genetic algorithm and parallel computing has been presented and discussed for s...
Structural optimization is an important area related to both optimization and structural engineering...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1994.Includes...
In the past few decades, metaheuristic optimization methods have emerged as an effective approach fo...
Structural topology optimization is addressed through Genetic Algorithms: A set of designs is evolve...
In this paper, topology and shape optimization of truss or frame structures is discussed. The optimi...
This thesis explores novel parameterization concepts for large scale topology optimization that enab...
A modern technique in structural optimization known as genetic algorithm was implemented in this pap...
Abstract There are typically three broad categories of structural optimization namely size, shape an...
One of the aims of this study is to compare the genetic algorithm used as a method of parametric opt...
The built environment is responsible for a large share of global greenhouse gas emissions. About 25 ...
Structural Optimization has been widely studied issue during the last 50 years. Although Mathematica...
There are so many ways for structural optimization, one of them is genetic algorithm as ‘tools’ of ...
Metaheuristic algorithms have provided efficient tools to engineering designers by which it became p...
In 1981, the Optimal Structural Design Committee of ASCE identified impediments preventing structura...
An approach based on genetic algorithm and parallel computing has been presented and discussed for s...
Structural optimization is an important area related to both optimization and structural engineering...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1994.Includes...
In the past few decades, metaheuristic optimization methods have emerged as an effective approach fo...
Structural topology optimization is addressed through Genetic Algorithms: A set of designs is evolve...
In this paper, topology and shape optimization of truss or frame structures is discussed. The optimi...
This thesis explores novel parameterization concepts for large scale topology optimization that enab...
A modern technique in structural optimization known as genetic algorithm was implemented in this pap...
Abstract There are typically three broad categories of structural optimization namely size, shape an...
One of the aims of this study is to compare the genetic algorithm used as a method of parametric opt...
The built environment is responsible for a large share of global greenhouse gas emissions. About 25 ...