Affiliations: Young Researchers Club, Sarvestan Branch, Islamic Azad University, Sarvestan, Iran | Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran | Department of Electrical Engineering, Sarvestan Branch, Islamic Azad University, Sarvestan, Iran
Note: [] Corresponding author. Abdollah Kavousi-Fard, Young Researchers Club, Sarvestan Branch, Islamic Azad University, Sarvestan, Iran. E-mail: [email protected]
Abstract: This paper proposes a novel adaptive modification approach based on harmony search algorithm (HS) to solve the multi-objective environmental economic dispatch problem. The proposed algorithm makes use of adaptive formulations to update the adjusting parameters of HS including the pitch adjusting and bandwidth parameters and the harmony memory consideration rate during the optimization process. Meanwhile, a useful modification is proposed to improve the variety of the harmony population effectively. In order to handle both the cost and emission objective functions, the ideas of trapezoidal fuzzy membership function and weighting factor are employed. The satisfying performance of the proposed method is examined through the IEEE standard test system.
