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 Although Mathematical Programming initially the most-used technique, it has been replaced by other metaheuristic techniques.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
The objective of this work is to develop an exploratory study on Genetic Algorithms (AGs), an optimi...
Geometry optimization has long been an active research area in theoretical chemistry. Many algorithm...
In this paper, topology and shape optimization of truss or frame structures is discussed. The optimi...
Structural Optimization has been widely studied issue during the last 50 years. Although Mathematica...
An approach based on genetic algorithm and parallel computing has been presented and discussed for s...
There are so many ways for structural optimization, one of them is genetic algorithm as ‘tools’ of ...
In this paper we show how the performance of two meta-heuristic algorithms and two simple search rou...
One of the aims of this study is to compare the genetic algorithm used as a method of parametric opt...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1994.Includes...
This thesis explores novel parameterization concepts for large scale topology optimization that enab...
Metaheuristic algorithms have provided efficient tools to engineering designers by which it became p...
The genetic algorithms have their base in the theory of survival of Darwin’s species. These algorith...
Not so many benchmark problems have been proposed in the area of Genetic Programming (GP). In this s...
Structural topology optimization is addressed through Genetic Algorithms: A set of designs is evolve...
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence...
The objective of this work is to develop an exploratory study on Genetic Algorithms (AGs), an optimi...
Geometry optimization has long been an active research area in theoretical chemistry. Many algorithm...
In this paper, topology and shape optimization of truss or frame structures is discussed. The optimi...
Structural Optimization has been widely studied issue during the last 50 years. Although Mathematica...
An approach based on genetic algorithm and parallel computing has been presented and discussed for s...
There are so many ways for structural optimization, one of them is genetic algorithm as ‘tools’ of ...
In this paper we show how the performance of two meta-heuristic algorithms and two simple search rou...
One of the aims of this study is to compare the genetic algorithm used as a method of parametric opt...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1994.Includes...
This thesis explores novel parameterization concepts for large scale topology optimization that enab...
Metaheuristic algorithms have provided efficient tools to engineering designers by which it became p...
The genetic algorithms have their base in the theory of survival of Darwin’s species. These algorith...
Not so many benchmark problems have been proposed in the area of Genetic Programming (GP). In this s...
Structural topology optimization is addressed through Genetic Algorithms: A set of designs is evolve...
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence...
The objective of this work is to develop an exploratory study on Genetic Algorithms (AGs), an optimi...
Geometry optimization has long been an active research area in theoretical chemistry. Many algorithm...
In this paper, topology and shape optimization of truss or frame structures is discussed. The optimi...