Abstract This research article proposes the use of a novel variant of the HS algorithm (harmony search), i.e. SFHS (self-regulated fret width harmony search algorithm), for calculating and predicting fugacity and activity coefficients in binary mixtures. Parameter selection was carried out based on preliminary results with different standard test functions. Different previously reported systems...

The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory of the HS algorithm is first described in details. Next, a few typical variations of the HS method are explained. The application of the HS in a practical wind turbine electrical generator...

—In this paper, a new Harmony Search algorithm (HS) is proposed to solve the Optimal Reactive Power Dispatch (ORPD) Problem. The ORPD problem is formulated as a nonlinear constrained single-objective optimization problem where the real power loss and the bus voltage deviations are to be minimized separately. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus system c...

This work addresses applications of the classical harmony search (HS), improved harmony search (IHS) and the harmony search with differential mutation based pith adjustment (HSDM) to PWR core reloading pattern optimization problems. Proper loading pattern of fuel assemblies (FAs) depends on both neutronic and thermal–hydraulic aspects; obtaining optimal arrangement of fuel assemblies, FA, in a ...

Harmony Search (HS) algorithm is a new population-based meta-heuristic which imitates the music improvisation process and has been successfully applied to a variety of combination optimization problems. In this paper, a self-adaptive harmony particle swarm optimization search algorithm, named SHPSOS, is proposed to solve global continuous optimization problems. Firstly, an efficient initializat...

Abstract: In order to improve the intelligent diagnosis level of an on-load tap-changer’s (OLTC) mechanical condition, a feature extraction method based on variational mode decomposition (VMD) and weight divergence was proposed. The harmony search (HS) algorithm was used to optimize the parameter selection of the relevance vector machine (RVM). Firstly, the OLTC vibration signal was decomposed ...

In this paper, meta-heuristic optimization techniques are introduced and their applications to water resources engineering, particularly in hydrological science are introduced. In recent years, meta-heuristic optimization techniques have been introduced that can overcome the problems inherent in iterative simulations. These methods are able to find good solutions and require limited computation...

As an important subset of combinatorial optimization, 0–1 knapsack problems, especially the highdimensional ones, are often difficult to solve. This study aims to provide a new simplified binary harmony search (SBHS) algorithm to tackle such NP-hard problems arising in diverse research fields. The key difference between SBHS and other HS methods is in the process of improvisation. The differenc...

Markowitz cardinality constraint mean-variance (MCCMV) model is a well studied and important one in the portfolio optimization literature. It is formulated as mixed integer quadratic programming problem (MIQP) which belongs to class of NP-hard problems, thus various heuristic and meta-heuristic algorithms are applied to solve it. In this paper, two modified versions of particle swarm optimizati...

Optimization design of water supply pipe network is important with the development of economy and the increasingly fast urbanization process. Harmony search algorithm for the optimal design of water supply networks provides a better nonlinear optimization method. The improved strategy of the dynamic harmony memory size is proposed, through the optimization computation to water supply pipe netwo...