Building envelope parameters and geometric configurations can considerably influence the
building energy performance. However, determining the best trade-offs of different building …

The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which
has been successfully applied to a broad range of clustering applications, including data …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Stock market price is one of the most important indicators of a country's economic growth.
That's why determining the exact movements of stock market price is considerably regarded …

Multiobjective design optimization problems require multiobjective optimization techniques
to solve, and it is often very challenging to obtain high-quality Pareto fronts accurately. In this …

Optimisation of water distribution system design is a well-established research field, which
has been extremely productive since the end of the 1980s. Its primary focus is to minimise …

This paper thoroughly reviews and analyzes the main characteristics and application
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …

This first chapter intends to review and analyze the powerful new Harmony Search (HS)
algorithm in the context of metaheuristic algorithms. We will first outline the fundamental …

Harmony search (HS) is a new meta-heuristic optimization method imitating the music
improvisation process where musicians improvise their instruments' pitches searching for a …

In metaheuristic algorithms, meta-means “beyond” or “higher level.” They generally perform
better than simple heuristics. All metaheuristic algorithms use some trade-off of local search …