This paper is concerned with constraint handling techniques in GA integrated structural optimization. A modified version of Joines and Houck's [18] penalty function method is introduced and studied with respect to discrete optimization of truss structures. Three test cases are designed and numerically examined to reflect three distinct situations of loading and constraints. Certain recommendations are reached for penalty parameter values. Furthermore, the considered penalty function is reformulated to eliminate its shortcomings. The reformulated penalty function is also applied to the three test cases and the results are compared and fully discussed
The Genetic Algorithm is one of the advanced optimization techniques frequently used for solving com...
This paper studies the minimum weight design of space trusses under failure criteria, combining cont...
Practical size structural optimization problems can involve a large number of variables and constrai...
International audienceWe present a general method of handling constraints in genetic optimization, b...
International audienceWe present a general method of handling constraints in genetic optimization, b...
International audienceWe present a general method of handling constraints in genetic optimization, b...
Abstract- Genetic Algorithms are most directly suited to unconstrained optimization. Application of ...
Many real-world search and optimization problems involve inequality and/or equality constraints and ...
Genetic Algorithms are most directly suited to unconstrained optimization. Application of Genetic Al...
Abstract:In order to overcome the limitation when using traditional genetic algorithm in solving con...
In this study, an attempt is made to minimize the weight of Howe roof and ten member-6 Node trusses,...
Over the years, several meta-heuristic algorithms were proposed and are now emerging as common metho...
The Genetic Algorithm is one of the advanced optimization techniques frequently used for solving com...
In this paper, topology and shape optimization of truss or frame structures is discussed. The optimi...
The Genetic Algorithm is one of the advanced optimization techniques frequently used for solving com...
The Genetic Algorithm is one of the advanced optimization techniques frequently used for solving com...
This paper studies the minimum weight design of space trusses under failure criteria, combining cont...
Practical size structural optimization problems can involve a large number of variables and constrai...
International audienceWe present a general method of handling constraints in genetic optimization, b...
International audienceWe present a general method of handling constraints in genetic optimization, b...
International audienceWe present a general method of handling constraints in genetic optimization, b...
Abstract- Genetic Algorithms are most directly suited to unconstrained optimization. Application of ...
Many real-world search and optimization problems involve inequality and/or equality constraints and ...
Genetic Algorithms are most directly suited to unconstrained optimization. Application of Genetic Al...
Abstract:In order to overcome the limitation when using traditional genetic algorithm in solving con...
In this study, an attempt is made to minimize the weight of Howe roof and ten member-6 Node trusses,...
Over the years, several meta-heuristic algorithms were proposed and are now emerging as common metho...
The Genetic Algorithm is one of the advanced optimization techniques frequently used for solving com...
In this paper, topology and shape optimization of truss or frame structures is discussed. The optimi...
The Genetic Algorithm is one of the advanced optimization techniques frequently used for solving com...
The Genetic Algorithm is one of the advanced optimization techniques frequently used for solving com...
This paper studies the minimum weight design of space trusses under failure criteria, combining cont...
Practical size structural optimization problems can involve a large number of variables and constrai...