Kaya, Mustafa ( Aksaray, Yazar )In this study, a new stopping criterion, called "backward controlled stopping criterion" (BCSC), was proposed to be used in Genetic Algorithms. In the study, the available stopping citeria; adaptive stopping citerion, evolution time, fitness threshold, fitness convergence, population convergence, gene convergence, and developed stopping criterion were applied to the following four comparison problems; high strength concrete mix design, pre-stressed precast concrete beam, travelling salesman and reinforced concrete deep beam problems. When completed the analysis, the developed stopping criterion was found to be more accomplished than available criteria, and was able to research a much larger area in the space ...
The standard versions of Evolutionary Algorithms (EAs) have two main drawbacks: unlearned terminatio...
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tou...
Genetic Algorithm (GA) has now become one of the leading mechanisms in providing solution to complex...
Genetic Algorithm is an algorithm imitating the natural evolution process in solving optimization pr...
WOS: 000281591300087In this study, two new crossover operators in genetic algorithm are proposed; se...
WOS: 000290392900014In this study, the new back controlled (BCSO) selection operator for genetic alg...
A stopping criterion for evolutionary algorithms like Genetic Algorithm (GA) is crucial in determini...
Premature convergence is the main obstacle to the application of genetic algorithm. The study on co...
This paper surveys strategies applied to avoid premature convergence in Genetic Algorithms (GAs).Gen...
To select a most desired mix proportion that meets required performances according to the quality of...
Considerable empirical results have been reported on the computational performance of genetic algori...
AbstractThe main aim of this paper is to find the appropriate set of Genetic Algorithm (GA), control...
This paper discusses the application of Genethic Algorithms (GA) and a concrete database in the desi...
NoThis paper presents a two-stage hybrid optimization algorithm based on a modified genetic algorith...
Tournament selection is the most frequently used form of selection in Genetic Programming (GP). Tour...
The standard versions of Evolutionary Algorithms (EAs) have two main drawbacks: unlearned terminatio...
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tou...
Genetic Algorithm (GA) has now become one of the leading mechanisms in providing solution to complex...
Genetic Algorithm is an algorithm imitating the natural evolution process in solving optimization pr...
WOS: 000281591300087In this study, two new crossover operators in genetic algorithm are proposed; se...
WOS: 000290392900014In this study, the new back controlled (BCSO) selection operator for genetic alg...
A stopping criterion for evolutionary algorithms like Genetic Algorithm (GA) is crucial in determini...
Premature convergence is the main obstacle to the application of genetic algorithm. The study on co...
This paper surveys strategies applied to avoid premature convergence in Genetic Algorithms (GAs).Gen...
To select a most desired mix proportion that meets required performances according to the quality of...
Considerable empirical results have been reported on the computational performance of genetic algori...
AbstractThe main aim of this paper is to find the appropriate set of Genetic Algorithm (GA), control...
This paper discusses the application of Genethic Algorithms (GA) and a concrete database in the desi...
NoThis paper presents a two-stage hybrid optimization algorithm based on a modified genetic algorith...
Tournament selection is the most frequently used form of selection in Genetic Programming (GP). Tour...
The standard versions of Evolutionary Algorithms (EAs) have two main drawbacks: unlearned terminatio...
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tou...
Genetic Algorithm (GA) has now become one of the leading mechanisms in providing solution to complex...