Multi-objective Optimization for Clustering using Evolutionary Computing
Clustering of data points is a classic problem that so far has no perfect general solution. Most existing solutions are computational expensive or simplied due to the combinatorial aspect of the problem. Genetic algorithms are becoming more and more popular due to their ability to solve large scale optimization problems. This thesis investigates the idea of creating a genetic algorithm able to per