A genetic algorithm is proposed to solve the weight minimization problem of spatial truss structures considering size and shape design variables. A very recently developed metaheuristic method called JAYA algorithm (JA) is implemented in this study for optimization of truss structures. The main feature of JA is that it does not require setting algorithm specific parameters. The algorithm has a very simple formulation where the basic idea is to approach the best solution and escape from the worst solution. Analyses of structures are performed by a finite element code in MATLAB. The effectiveness of JA algorithm is demonstrated through benchmark spatial truss 39-bar, and compare with results in references
During last three decade, many mathematical programming methods have been develop for solving optimi...
This paper presents an application of evolutionary optimization methods to design of space trusses. ...
WOS: 000443205500019In this study, eight population-based metaheuristic algorithms were employed for...
A very recently developed metaheuristic method called Jaya algorithm (JA) is implemented in this stu...
Lightweight structures, especially trusses, have attracted a tremendous attention due to their exten...
This article deals with optimization of the truss structure. A genetic algorithm is used for this op...
This paper focuses on the application of genetic algorithms (GAs) to structural optimisation problem...
In this study, an attempt is made to minimize the weight of Howe roof and ten member-6 Node trusses,...
This paper presents an Improved Genetic Algorithm with Two-Level Approximation (IGATA) to minimize t...
AbstractStructural optimizations have received great attention from structural engineers. Several op...
In this paper, topology and shape optimization of truss or frame structures is discussed. The optimi...
Lightweight structures, especially trusses, have attracted a tremendous attention due to their exten...
Purpose-There are many problems in civil or mechanical engineering related to structural design. In ...
NoAbstract: This paper is to apply the species conserving genetic algorithm (SCGA) to search multip...
AbstractThis research presents a procedure and a software application to optimize the topology, size...
During last three decade, many mathematical programming methods have been develop for solving optimi...
This paper presents an application of evolutionary optimization methods to design of space trusses. ...
WOS: 000443205500019In this study, eight population-based metaheuristic algorithms were employed for...
A very recently developed metaheuristic method called Jaya algorithm (JA) is implemented in this stu...
Lightweight structures, especially trusses, have attracted a tremendous attention due to their exten...
This article deals with optimization of the truss structure. A genetic algorithm is used for this op...
This paper focuses on the application of genetic algorithms (GAs) to structural optimisation problem...
In this study, an attempt is made to minimize the weight of Howe roof and ten member-6 Node trusses,...
This paper presents an Improved Genetic Algorithm with Two-Level Approximation (IGATA) to minimize t...
AbstractStructural optimizations have received great attention from structural engineers. Several op...
In this paper, topology and shape optimization of truss or frame structures is discussed. The optimi...
Lightweight structures, especially trusses, have attracted a tremendous attention due to their exten...
Purpose-There are many problems in civil or mechanical engineering related to structural design. In ...
NoAbstract: This paper is to apply the species conserving genetic algorithm (SCGA) to search multip...
AbstractThis research presents a procedure and a software application to optimize the topology, size...
During last three decade, many mathematical programming methods have been develop for solving optimi...
This paper presents an application of evolutionary optimization methods to design of space trusses. ...
WOS: 000443205500019In this study, eight population-based metaheuristic algorithms were employed for...