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A study on harmony search algorithm and applications

This paper presents a study on harmony search algorithm with application. A disadvantage of HAS is trapped into the local optimum easily, so many improved algorithms about the HAS have been presented by research scholars. We, in this paper, reviewed many methods published in the journals, which have been valued in some aspects, such as dynamic parameters adjustment, self-adaptive adjustment, global search and local search strategy, even the HS combined with other intelligent algorithms.