Parameters control in GAs for dynamic optimization

Abstract

The Control of Genetic Algorithms parameters allows to optimize the search process and improves the performance of the algorithm. Moreover it releases the user to dive into a game process of trial and failure to find the optimal parameters.

Keywords

• Genetic Algorithms
• Unsupervised Learning
• Fuzzy Clustering
• Dynamic Optimization
• Evolutionary Algorithms
• Fitness Sharing