In this paper, performances of basic Artificial Bee Colony, Harmony Search and Bees algorithms and Improved Bees algorithm were compared on unimodal and multimodal well-known benchmark problems. Effect of problem dimensionality on the performance of the algorithms was investigated and the algorithms were compared to each other in terms of the number of control parameters to be tuned.

Wastewater pumping consumes 10% to 20% of electricity in wastewater treatment plants. To reduce the energy consumption, a data-driven approach is applied to model and optimize the wastewater pumping process. Datamining algorithm and multilayer perceptron neural network are used to build the pumping energy model. The optimization model is solved by an improved harmony search algorithm. Optimal p...

In this paper, we presents a novel approach for solving optimal power flow (OPF) problems using a hybrid differential evolution and harmony search (DEHS). The DEHS method is an improved differential evolution method based on the harmony search scheme. Harmony Search has strong and easy to combine with other methods in optimization and the Differential Evolution algorithm has a very great abilit...

The metaheuristic optimization algorithm Harmony search (HS), which imitates the process of music improvisation, is becoming widely used due to its simplicity and easy operation. However, basic HS has shortcomings low accuracy risk falling into local optimum. To overcome these problems, this article develops an ameliorated harmony with hybrid convergence mechanism, namely AHS-HCM. For new metho...

This study presents a cost minimization model for the design of water distribution networks. The model uses a recently developed harmony search optimization algorithm while satisfying all the design constraints. The harmony search algorithm mimics a jazz improvisation process in order to find better design solutions, in this case pipe diameters in a water distribution network. The model also in...