The Wireless Sensor Network (WSN) has found an extensive variety of applications, which include battlefield surveillance, monitoring of environment and traffic, modern agriculture due to their effectiveness in communi...
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The Wireless Sensor Network (WSN) has found an extensive variety of applications, which include battlefield surveillance, monitoring of environment and traffic, modern agriculture due to their effectiveness in communication. Clustering is one of the significant mechanisms for enhancing the lifespan of the network in WSN. This clustering scheme is exploited to improve the sensor network's lifespan by decreasing the network's energy consumption and increasing the stability of the network. The existing cluster head selection algorithm suffers from the inconsistent tradeoffs between exploration exploitation and global search constraints. Therefore, in this research, the hybridization of two popular optimization algorithms, namely, harmony search algorithm (HSA) and Squirrel searchalgorithm (SSA) is executed for optimal selection of cluster heads in WSN with respect to distance and energy. The proposed Hybrid Squirrel harmony search algorithm (HSHSA) is found to be energy efficient when compared with first node death (FND) and last node death (LND) of existing Cluster Head Selection (CHS) techniques. In addition to this, the proposed HSHSA shows enhancements in overall throughput and residual energy of the wireless sensor network by 31.02% and 85.69%, respectively than the existing algorithms.
Allpass group delay equalizer design using harmony search algorithm is presented. Chebyshev IIR lowpass and bandpass digital filters are first designed to meet given passband and stopband(s) magnitude response specifi...
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ISBN:
(纸本)9781538668122;9781538668115
Allpass group delay equalizer design using harmony search algorithm is presented. Chebyshev IIR lowpass and bandpass digital filters are first designed to meet given passband and stopband(s) magnitude response specifications. For each of the lowpass and bandpass digital filters, a cascaded allpass digital filter is then designed to equalize the BR passband group delay such that the normalized group delay error of the combined passband group delay is minimized The allpass equalizer design results indicate that the approach using harmony search algorithm is effective.
This paper presents a study on harmony search algorithm with application. A disadvantage of HAS is trapped into the local optimum easily, so many improved algorithms about the HAS have been presented by research schol...
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ISBN:
(纸本)9781538612446
This paper presents a study on harmony search algorithm with application. A disadvantage of HAS is trapped into the local optimum easily, so many improved algorithms about the HAS have been presented by research scholars. We, in this paper, reviewed many methods published in the journals, which have been valued in some aspects, such as dynamic parameters adjustment, self-adaptive adjustment, global search and local search strategy, even the HS combined with other intelligent algorithms.
Allpass group delay equalizer design using harmony search algorithm is presented. Elliptic IIR lowpass and bandpass digital filters are first designed to meet given passband and stopband(s) magnitude response specific...
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ISBN:
(纸本)9781538673928
Allpass group delay equalizer design using harmony search algorithm is presented. Elliptic IIR lowpass and bandpass digital filters are first designed to meet given passband and stopband(s) magnitude response specifications. For each of the lowpass and bandpass digital filters, a cascaded allpass digital filter is then designed to equalize the IIR passband group delay such that the normalized group delay error of the combined passband group delay is minimized The allpass equalizer design results indicate that the approach using harmony search algorithm can achieve slightly improved results as compared to other methods.
Recently the development of optimization algorithm is rapidly increased. Among several optimization algorithms, harmonysearch(HS) has been recently proposed for solving engineering optimization problems. The HS has s...
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Recently the development of optimization algorithm is rapidly increased. Among several optimization algorithms, harmonysearch(HS) has been recently proposed for solving engineering optimization problems. The HS has some weaknesses such as parameters selection and falling in local optima. Many variants proposed to solve these problems. This paper presents successful hybrid algorithms with high performance to solve the pressure vessel design simulation. The hybrid algorithms consist of wellknown variants of HS and an opposition-based learning technique. The hybrid algorithm improved the HS exploration and avoiding falling in local optima, which lead the algorithm to provide significant results.
A fuzzy harmony search algorithm (FHS) is presented in this paper. This method uses a fuzzy system for dynamic adaptation of the harmony memory accepting (HMR) parameter along the iterations, and in this way achieving...
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ISBN:
(纸本)9783030044916;9783030044909
A fuzzy harmony search algorithm (FHS) is presented in this paper. This method uses a fuzzy system for dynamic adaptation of the harmony memory accepting (HMR) parameter along the iterations, and in this way achieving control of the intensification and diversification of the search space. This method was previously applied to classic benchmark mathematical functions with different number of dimensions. However, in this case we decided to apply the proposed FHS to benchmark mathematical problems provided by the CEC 2015 competition, which are unimodal, multimodal, hybrid and composite functions to check the efficiency for the proposed method. A comparison is presented to verify the results obtained with respect to the original harmony search algorithm and fuzzy harmony search algorithm.
This paper presents a harmony search algorithm with opposition-based teaming techniques (HS-OBL) to solve power system. To prevent the HS-OBL algorithm from being trapped into the local optimum effectively, an improve...
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ISBN:
(纸本)9781538612446
This paper presents a harmony search algorithm with opposition-based teaming techniques (HS-OBL) to solve power system. To prevent the HS-OBL algorithm from being trapped into the local optimum effectively, an improved algorithm in this paper integrates the opposition-based learning operation with the improvisation process. After that, pitch adjusting rate (PAR) and harmony memory consideration rate (HMCR) are adjusted by a new adjusting strategy that is designed for dynamic adjustment to further improve the performance of algorithm. The HS-OBL is employed to solve 7units and 14units power system, the numerical results show that the HS-OBL has performed much better than harmonysearch (HS) algorithm and other improved algorithms that have been reported in recent literature. And the data has shown in table 4.
Rapidly increasing population leads to increased electricity demand which ultimately requires Demand Side Management (DSM) to balance the electricity demand and supply in smart grid. Various techniques have been propo...
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ISBN:
(纸本)9781538653951
Rapidly increasing population leads to increased electricity demand which ultimately requires Demand Side Management (DSM) to balance the electricity demand and supply in smart grid. Various techniques have been proposed by research community for Home Energy Management (HEM). In this study, we have used harmony search algorithm (HSA) as an optimization technique to achieve four objectives: cost, PAR and waiting time minimization with user comfort maximization. HSA has been implemented in three different scenarios on the basis of varying Operation Time Intervals (OTIs) i.e., 05, 30 and 60 minutes. Simulation results showed that HSA performed much better as compared to un-schedule case and shorter OTI produced better results as compared to longer OTIs.
harmonysearch (HS) algorithm, applied in many fields, is a new population algorithm, which imitates magically the phenomenon of musical improvisation process. However, it has a potential shortage, which is easily tra...
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ISBN:
(纸本)9781538612446
harmonysearch (HS) algorithm, applied in many fields, is a new population algorithm, which imitates magically the phenomenon of musical improvisation process. However, it has a potential shortage, which is easily trapped into local optima when searching for global optima. To solve this problem, a hybrid harmony search algorithm (HHS) is promoted, which is based on the conception of swarm intelligence HHS employed a local search method to replace the pitch adjusting operation, and designed an elitist preservation strategy to modify the selection operation. Expeliment results demonstrated that the proposed method performs much better than the HS and its improved algorithms (IHS, GHS and NGIIS).
harmonysearch (HS) algorithm is widely applied in high-dimensional complex optimization problems. However, there are several drawbacks with HS algorithm for which HS algorithm is unable to find global optimumsolution...
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ISBN:
(纸本)9781538643624
harmonysearch (HS) algorithm is widely applied in high-dimensional complex optimization problems. However, there are several drawbacks with HS algorithm for which HS algorithm is unable to find global optimumsolution efficiently and effectively sometimes. In this paper, a random distribution harmonysearch (RDHS) algorithm which subjoins a random distribution operation to HS was proposed. The random distribution operation can increase convergence speed effectively as well as optimum ability. The effectiveness and advantages are demonstrated through several simulationexperiments of conventional test functionscompared with HS and improved harmonysearch (IHS).
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