Differential evolution approach for optimal reactive power dispatch
Applied Soft Computing
A novel hybrid immune algorithm for global optimization in design and manufacturing
Robotics and Computer-Integrated Manufacturing
Improved Harmony Search for Economic Power Dispatch
HIS '09 Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems - Volume 03
Review Article: Solving 0-1 knapsack problem by a novel global harmony search algorithm
Applied Soft Computing
A MATLAB-based virtual laboratory for teaching introductory quasi-stationary electromagnetics
IEEE Transactions on Education
Engineering Applications of Artificial Intelligence
Hi-index | 0.00 |
This paper describes the improved harmony search method (IHS) to solve optimal power flow (OPF) problems. The harmony search is one of meta-heuristic search methods inspired by the improvisation of musicians developed by Geem (2001) [23]. The proposed algorithm was tested with five standard IEEE test systems (6-bus, 14-bus, 30-bus, 57-bus and 118-bus test systems). The tests were divided into smooth and non-smooth fuel-cost cases. The comparisons among solutions obtained by sequential quadratic programming (SQP), genetic algorithms (GA) and IHS were conducted. As revealed from the simulated results, the effectiveness of the IHS for solving OPF problems was confirmed.