Author(s): N.P. Theodossiou & I.P. Kougias
During the past few years, a new method has been added to those optimization techniques
inspired by natural phenomena like genetic algorithms.
harmony based optimization algorithm, commonly referred to as Harmony Search
Algorithm (HSA), is a novel, powerful optimization technique based on the observation
of music creation and its quest of the perfect state of harmony.
In this chapter,
the concept and the basic characteristics of the harmony search algorithm are comprehensively
Since the method is still in full development, a number of
variations aiming to improve its effi ciency have appeared.
Their main differences are
also outlined in this chapter along with a benchmark evaluation of their effectiveness.
Finally, an application on a classic multireservoir system management problem is
presented, in order to demonstrate the effi ciency of the Harmony Search Algorithm.
optimization techniques, Harmony Search Algorithm, music-inspired harmony
based optimization algorithm, Rosenbrock function, Griewangk function, multi-reservoir
Size: 3,829 kb
Paper DOI: 10.2495/978-1-84564-664-6/07
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