Add to ORKGprocess and maintain a population of potential solutions to a given problem. Through the population, GAs implicitly maintain the statistics about the search space. This implicit statistics can be used explicitly to enhance GA's performance. Inspired by this idea, a statistics-based adaptive non-uniform crossover (SANUX) has been proposed. SANUX uses the statistics information of the alleles in each locus to adaptively calculate the swapping probability of that locus for crossover operation. A simple triangular function has been used to calculate the swapping probability. In this paper two new functions, the trapezoid and exponential functions, are proposed for SANUX instead of the triangular function. Experiment results sh...
Adaptive Genetic Algorithms extend the Standard Gas to use dynamic procedures to apply evolutionary ...
In this paper we describe an efficient approach for multimodal function optimization using genetic a...
In this paper we report the results of experiments on multi-parent reproduction in an adaptive genet...
Through the population, genetic algorithm (GA) implicitly maintains the statistics about the search ...
The genetic algorithm (GA) is a meta-heuristic search algorithm based on mechanisms abstracted from ...
The final published version of this article is available at the link below. Copyright @ MIT Press.Ge...
A statistics-based adaptive non-uniform mutation (SANUM) is presented for genetic algorithms (GAs), ...
Genetic Algorithms (GAs) are commonly used today worldwide. Various observations have been theorized...
It has long been recognized that mutation is a key ingredient in genetic algorithms (GAs) and the ch...
Abstract. The performance of a genetic algorithm (GA) is dependent on many factors: the type of cros...
It is well known that a judicious choice of crossover and/or mutation rates is critical to the succe...
ABSTRACT Genetic Algorithms (GAs) are a set of local search algorithms that are based on principles ...
One of the issues in evolutionary algorithms (EAs) is the relative importance of two search operator...
In this paper we describe an efficient approach for multimodal function optimization using Genetic A...
We present a new knowledge-based non-uniform crossover (KNUX) operator for genetic algorithms (GA\...
Adaptive Genetic Algorithms extend the Standard Gas to use dynamic procedures to apply evolutionary ...
In this paper we describe an efficient approach for multimodal function optimization using genetic a...
In this paper we report the results of experiments on multi-parent reproduction in an adaptive genet...
Through the population, genetic algorithm (GA) implicitly maintains the statistics about the search ...
The genetic algorithm (GA) is a meta-heuristic search algorithm based on mechanisms abstracted from ...
The final published version of this article is available at the link below. Copyright @ MIT Press.Ge...
A statistics-based adaptive non-uniform mutation (SANUM) is presented for genetic algorithms (GAs), ...
Genetic Algorithms (GAs) are commonly used today worldwide. Various observations have been theorized...
It has long been recognized that mutation is a key ingredient in genetic algorithms (GAs) and the ch...
Abstract. The performance of a genetic algorithm (GA) is dependent on many factors: the type of cros...
It is well known that a judicious choice of crossover and/or mutation rates is critical to the succe...
ABSTRACT Genetic Algorithms (GAs) are a set of local search algorithms that are based on principles ...
One of the issues in evolutionary algorithms (EAs) is the relative importance of two search operator...
In this paper we describe an efficient approach for multimodal function optimization using Genetic A...
We present a new knowledge-based non-uniform crossover (KNUX) operator for genetic algorithms (GA\...
Adaptive Genetic Algorithms extend the Standard Gas to use dynamic procedures to apply evolutionary ...
In this paper we describe an efficient approach for multimodal function optimization using genetic a...
In this paper we report the results of experiments on multi-parent reproduction in an adaptive genet...