Nowadays, music-inspired phenomenon-mimicking harmony search algorithm is fast growing with
many applications. One of key success factors of the algorithm is the employment of a novel
stochastic derivative which can be used even for discrete variables. Instead of traditional
calculus-based gradient, the algorithm utilizes musician.s experience as a derivative in
searching for an optimal solution. This can be a new paradigm and main reason in the successes
of various applications.

The goal of this book is to introduce major advances of the harmony search algorithm in recent
years. The book contains 14 chapters with the following subjects: State-of-the-art in the
harmony search algorithm structure; robotics (robot terrain and manipulator trajectory); visual
tracking; web text data mining; power flow planning; fuzzy control system; hybridization (with
Taguchi method or SQP method); groundwater management; irrigation ; logistics; timetabling; and
bioinformatics (RNA structure prediction).

This book collects the above-mentioned theory and applications, which are dispersed in various
technical publications, so that readers can have a good grasp of current status of the harmony
search algorithm and foster new breakthroughs in their fields using the algorithm.

http://www.springer.com/

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