MODIFIED HARMONY SEARCH OPTIMIZATION METHOD WITH PARAMETER FREE PENALTY FUNCTION AND SPIRAL DYNAMICS CLUSTERING

• Main Author: Noor Abraham, Frietz
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/71804
• Institution: Institut Teknologi Bandung

In this final project, the author proposes a newly developed metaheuristic optimization method for solving an optimization problem. This method will combine the optimization method, that is the Modified Harmony Search, a penalty function Parameter Free Penalty, and Spiral Dynamics Clustering. The Modified Harmony Search Method imitates the performance of music harmony to find the best possible harmony iteratively. Each stage in the Modified Harmony Search will be explained in this project, as well as how a penalty function such as the Parameter Free Penalty can help Modified Harmony Search find the feasible solution and also the Spiral Dynamics Clustering to divide a domain into regions that might have an optimum solution. All theories discussed in this project are implemented in the new innovation method which will be called as PFP-SDC-MHS method using the python language. After the method had been successfully developed, the PFP-SDC-MHS method is then used to solve various types of optimization problems.