Genetic algorithm parenting fitness

Clustering-based hierarchical genetic algorithm for complex fitness landscapes

We propose the use of a hierarchical Genetic Algorithm (GA) for optimization in complex landscapes. While the slave GA tries to find local optima in the restricted fitness landscape of low complexity, the master GA tries to identify interesting regions in the entire landscape. The slave GA is a conventional GA with high convergence. The master GA is more exploratory in nature. This GA clusters ...

Efficient evaluation genetic algorithm under integrated fitness functions

Genetic Algorithm Utilising Neural Network Fitness Evaluation for Musical Composition

The aim of this paper is to propose a means by which neural network tness evaluation can be applied to a genetic algorithm (GA), and an application of this system to musical rhythm composition. An Adaptive Resonance Theory (ART) neural network is trained using binary information representing classiication patterns. By comparing new genetically derived individuals to clustered data, a measure of...

Fitness Function of Genetic Algorithm in Structural Constraint Optimization

The mathematics models of Reliability-based Structural Optimization (RBSO) were presented in this paper, then how to handle the constraint become sixty-four-dollar question of establishing the fitness function. Based on exterior penalty function method, penalty gene is made adaptively according to population’s evolution, then the fitness function is established, which is mapping formula of obje...

Fitness Function in Genetic Algorithm based Information Filtering - A Survey

Abstract –Information filtering systems have a vital role in exploiting the flurry of information that keeps on growing exponentially. This study focuses on improving the performance of genetic algorithms based information filtering. In GA, the fitness function is the performance measure for relevance judgement. Being the backbone of the evaluation process the selection of fitness function is v...