Recent advancements in energy systems have led to a series of new challenges in the decision-making process. Harmony search (HS) algorithm, which is a music-inspired optimisation technique, has been applied to some of these decision-making processes to obtain optimal set points within these energy systems. HS is based on the music improvisation process where musicians try to find better harmonies. Some of the advantages of HS method are that it is relatively simple to implement and require less algorithmic parameters. This paper aims to provide a comprehensive review on the applications of HS method to energy systems, that concentrate on two main objectives. First, the improved versions of HS introduced in recent studies will be reported. Second, contributed researches in energy systems by using HS will be analysed.
|Original language||English (US)|
|Number of pages||27|
|Journal||Journal of Experimental and Theoretical Artificial Intelligence|
|State||Published - Sep 3 2019|
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Artificial Intelligence