This brief provides a detailed introduction, discussion and
bibliographic review of the nature1-inspired optimization algorithm
called Harmony Search. It uses a large number of simulation results
to demonstrate the advantages of Harmony Search and its variants
and also their drawbacks. The authors show how weaknesses can be
amended by hybridization with other optimization methods. The
Harmony Search Method with Applications will be of value to
researchers in computational intelligence in demonstrating the
state of the art of research on an algorithm of current interest.
It also helps researchers and practitioners of electrical and
computer engineering more generally in acquainting themselves with
this method of vector-based optimization.
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