In this paper, selection of watermark strength in digital image using harmonysearch is presented. In image watermarking procedure, the image is divided into separate blocks and the watermark is embedded in the transf...
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In this paper, selection of watermark strength in digital image using harmonysearch is presented. In image watermarking procedure, the image is divided into separate blocks and the watermark is embedded in the transform domain via the watermark strength and the inverse transform is carried out. Digital image watermarking has several requirements based on its applications. Transparency and robustness are two important requirements in many applications. These two requirements are in conflict and watermark strength controls them. Decreasing the watermark strength causes higher transparency and lower robustness and vice versa. Having these two features is not possible at the same time, further more it would be time consuming to determine the proper watermark strength by error and trial and using the optimization algorithms is of great importance in this case. The experimental results show that the proposed algorithm selects the proper watermark strength to have suitable transparency and robustness at the same time.
In this study, a meta-heuristic technique called harmonysearch (HS) algorithm is developed for reservoir operation optimization with respect to flood control. The HS algorithm is used to minimize the water supply def...
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In this study, a meta-heuristic technique called harmonysearch (HS) algorithm is developed for reservoir operation optimization with respect to flood control. The HS algorithm is used to minimize the water supply deficit and flood damages downstream of a reservoir. The GIS database is used to determine the flood damage functions. The efficacy of HS algorithm is evaluated in comparison with other techniques by using a benchmark problem for a single reservoir operation optimization problem. HS showed promising results in terms of speed of convergence to an optimal objective function value compared with other techniques such as honey-bee mating optimization (HBMO) and a global optimization model (LINGO 8.0 NLP solver). The HS algorithm is then applied to the Narmab reservoir, north of Iran, as a case study. Narmab reservoir serves multiple purposes including irrigation, flood control, and drinking water requirements. The developed model is applied for monthly operation. The results show that the HS algorithm can be effectively used for operation of reservoir for flood management.
In this paper, we report the development of a method for forecasting enrollments at the University of Alabama using the harmony search algorithm and fuzzy time series. In recent years, researchers have proposed many m...
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In this paper, we report the development of a method for forecasting enrollments at the University of Alabama using the harmony search algorithm and fuzzy time series. In recent years, researchers have proposed many methods of forecasting, including forecasting enrollments at the University of Alabama or financial markets such as FOREX. In recent research efforts, it was determined that the lengths of the intervals in the universe of discourse and forecasting rules influence the accuracy of forecasting. Some forecasting methods use meta-heuristic algorithms (such as the genetic algorithm) to determine the optimum length of the intervals in the universe of discourse. In this paper, we propose a new, meta-heuristic algorithm (i.e., the harmony search algorithm) that is based on a high-order, fuzzy time series and overlapping intervals. In previous methods, it was assumed that the universe of discourse is partitioned into separate intervals that do not overlap. Here, it is shown that overlapping intervals in the universe of discourse can influence the accuracy of forecasted values.
An effort is made in this paper to discuss the real-time problem of interconnected power system for resistance to random and rapid changes of small step load perturbation (SLP) in connection with automatic generation ...
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An effort is made in this paper to discuss the real-time problem of interconnected power system for resistance to random and rapid changes of small step load perturbation (SLP) in connection with automatic generation control (AGC). Rapid changes of loads, for a continuous period of time, always create problems in the benefits of optimum AGC performance. In view of this, a continuous nature of load profile is designed for its implementation in real-time application of AGC. In such case, the point of concern is to closely examine the frequency deviation and the behavior of tie-line power flow profiles within the control areas. To overcome these consequences, a novel quasi-oppositional harmonysearch (QOHS) algorithm based proportional integral derivative (PID) controller is proposed along with filtering technique. The test system under consideration is a three-area power system with two generating units (non-identical capacity) in each area having an appropriate generation rate constraint (GRC). Importance of considering the physical constraint (like GRC) is demonstrated by examining the closed loop performance of the studied power system model. The performance of the proposed QOHS algorithm is verified by comparing the obtained dynamic responses to those offered by the imperialist competitive algorithm for the same test system. In the final phase of investigation, the total load changes of all the three control areas are also considered for the purpose of analyzing the saturation and non-linearity effects of turbine. It may be apprehended from the simulation results that the proposed QOHS based PID controller is more efficient to minimize the effect of continuous SLP. The proposed QOHS algorithm shows the feasibility of the approach and is able to regain its steady-state operation for such load perturbation profiles. (C) 2015 Elsevier Ltd. All rights reserved.
Automated segmentation of vasculatures in retinal images is vital for the detection of Diabetic Retinopathy (DR). An attempt has been made to generate continuous vasculature information using evolutionary based Harmon...
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ISBN:
(纸本)9781479980819
Automated segmentation of vasculatures in retinal images is vital for the detection of Diabetic Retinopathy (DR). An attempt has been made to generate continuous vasculature information using evolutionary based harmony search algorithm (HSA) combined with conventional Multilevel Thresholding (MLT) methods. The preprocessed normal and abnormal retinal images are segmented using HSA based Otsu and Kapur MLT methods by the best objective functions. The segmentation is validated with corresponding ground truth images using binary similarity measures. The statistical, textural and structural features are obtained from the segmented images and are analyzed. Content Based Image Retrieval (CBIR) is used to assist physicians in clinical diagnoses and research fields. The CBIR systems are developed based on both the MLT segmentation techniques and the obtained features. Similarity matching is carried out between the features of query and database images using the Euclidean Distance measure. Similar images are ranked and retrieved. This work shows high retrieval performances such as precision (96%) and recall (58%) for the CBIR system using HSA based Otsu MLT segmentation method than the other method. Hence this CBIR system could be recommended in computer assisted diagnosis for a better screening of the diabetic retinopathy.
The work presents a multi response optimization approach to determine the optimal process parameters in wire electrical discharge machining process during taper cutting operation. Experiments have been conducted using...
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The work presents a multi response optimization approach to determine the optimal process parameters in wire electrical discharge machining process during taper cutting operation. Experiments have been conducted using six process parameters such as part thickness, taper angle, pulse duration, discharge current, wire speed and wire tension each at three levels for obtaining the responses like angular error, surface roughness, and cutting speed. Taguchi's L-27 orthogonal array is used to gather information regarding the process with less number of experimental runs. Traditional Taguchi approach is insufficient to solve a multi response optimization problem. In order to overcome this limitation, techniques for order preferences by similarity to ideal solution (TOPSIS) method has been implemented, to convert multi-responses into single equivalent response called closeness coefficient index. The relationship between input parameters and closeness coefficient index is developed by regression analysis, resulting a valid mathematical model. Finally, the optimum parameter setting is obtained by a new metaheuristic algorithm, Harmonic searchalgorithm. (C) 2015 Elsevier Ltd. All rights reserved.
This paper proposes to optimize the control parameters of DC-link voltage shunt active power filter (SAPF) by harmony search algorithm (HSA) and Total Harmonic Distortion (THD) reduction in the system. The aim is moti...
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ISBN:
(纸本)9781479985982
This paper proposes to optimize the control parameters of DC-link voltage shunt active power filter (SAPF) by harmony search algorithm (HSA) and Total Harmonic Distortion (THD) reduction in the system. The aim is motivated by the need to minimize the burden on the DC-link capacitor voltage to enhance performance of a shunt active power filter. In particular the attention has been focused on the Hybrid Compensation (HC), including an active filter and Passive Filter (PF) distributed in Micro-Grid (MG) system. Each passive filter has been designed to eliminate main harmonics;connected to nonlinear load and Dispersed Generation Sources (DGSs) and gain reactive power while it is the duty of active filter with instantaneous power theory (pq), to correct unbalanced system as well as eliminate harmonic left. Simulation results are presented to validate the proposed scheme.
In this paper, a continuous harmonysearch (HS) approach is investigated for tackling the Uncapacitated Facility Location (UFL) task. This article proposes an efficient modified HS-based optimizer to improve the perfo...
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ISBN:
(纸本)9781629935201
In this paper, a continuous harmonysearch (HS) approach is investigated for tackling the Uncapacitated Facility Location (UFL) task. This article proposes an efficient modified HS-based optimizer to improve the performance of HS on complex spatial tasks like UFL problems. For this aim, opposition-based learning (OBL) and chaotic patterns are utilized. The proposed technique is examined against several UFL benchmark challenges in specialized literature. Then, the modified HS is substantiated in detail and compared to the basic HS and some other methods. The results showed that new opposition-based chaotic HS (OBCHS) algorithm not only can exploit better solutions competently but it is able to outperform HS in solving UFL problems.
This paper investigates a new approach to find the optimal location and sizing of Distribution STATic COMpensator (DSTATCOM) with an objective function of minimizing the total network power losses. harmonysearch algo...
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This paper investigates a new approach to find the optimal location and sizing of Distribution STATic COMpensator (DSTATCOM) with an objective function of minimizing the total network power losses. harmony search algorithm is used to find the optimal location and sizing of DSTATCOM. The proposed work is tested on standard IEEE 33-bus radial distribution systems. The obtained result shows that optimal placement and sizing of DSTATCOM in the radial distribution network effectively reduces the total power losses of the system. (C) 2015 The Authors. Published by Elsevier Ltd.
In the past three decades nature-inspired and meta-heuristic algorithms have dominated the literature in the broad areas of search and optimization. harmony search algorithm (HSA) is a music-inspired population-based ...
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In the past three decades nature-inspired and meta-heuristic algorithms have dominated the literature in the broad areas of search and optimization. harmony search algorithm (HSA) is a music-inspired population-based meta-heuristic search and optimization algorithm. The concept behind the algorithm is to find a perfect state of harmony determined by aesthetic estimation. This paper starts with an overview of the harmonic phenomenon in music and music improvisation used by musicians and how it is applied to the optimization problem. The concept of harmony memory and its mathematical implementation are introduced. A review of HSA and its variants is presented. Guidelines from the literature on the choice of parameters used in HSA for effective solution of optimization problems are summarized.
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