A novel Hybrid FFA-ACO Algorithm for Economic Power Dispatch

作者：Younes Mimoun^*

来源：Control Engineering and Applied Informatics, 2013, 15(2): 67-77.

• Economic power dispatch (EPD)
• Ant colony Optimization
• Firefly algorithm
• hybrid method

In this article, I developed a practical combination strategy for two evolutionary algorithms; a firefly algorithm and Ant Colony Optimization (FFA- ACO) which inherited the superiority of the two algorithms for solving the economic power dispatch (EPD) problem. ACO has strong and easy to combine with other methods in optimization and the FFA algorithm has a very great ability to search solutions with a fast speed to converge, contrary to the most meta-heuristic algorithms. The hybrid approach involves two level of optimization, namely global search by the ACO and local search by the FFA, which cooperates in a global process of optimization. It can provide more robust convergence. This method was tested on the modified IEEE 30 bus test system. The outcomes are compared with many other methods like swarm optimization (PSO), Tabu Search (TS), improved evolutionary programming (MP), differential evolution (DE), evolutionary programming (EP) and non-linear programming (NLP). The proposed method is found to be computationally faster, robust and superior.

• 出版日期2013-6