Harmony Search (HS) is a meta-heuristic algorithm which bases its operation on the musical improvisation process. Recently, HS has become a popular algorithm in the evolutionary computation fielddue to its superiority to many other algorithms. As a consequence, in this paper, HS algorithm, its improvements and applications in many fields, such as operations research and computer science, are di...

Harmony search (HS) is a meta-heuristic algorithm mimicking the improvisation process of musicians. This paper arranges the basic structure of the HS algorithm and customizes the algorithm for clustering optimization problems. We propose novel clustering algorithm based on Harmony Search (HS) optimization method that deals with document clustering. By modeling Retrieval as an optimization probl...

This paper presents a Harmony Search Algorithm to seek the optimal solution of the unit maintenance scheduling. For the maintenance scheduling, cost reduction is as important as reliability. The objective function of this algorithm considers the effect of economy as well as reliability. Various constraints such as spinning reserve, duration of maintenance crew are being taken into account. We a...

In data mining, clustering is one of the important issues for separation and classification with groups like unsupervised data. In this paper, an attempt has been made to improve and optimize the application of clustering heuristic methods such as Genetic, PSO algorithm, Artificial bee colony algorithm, Harmony Search algorithm and Differential Evolution on the unlabeled data of an Iranian bank...

Linear complementarity problem (LCP) is studied. After reforming general LCP as the system of nonlinear equations by NCP-function, equivalent to solving an unconstrained optimization model, which can be solved a recently proposed algorithm named novel global harmony search (NGHS). NGHS overcome disadvantage interior-point methods. Numerical results show that has higher rate convergence than oth...