Efficiency of improved harmony search algorithm

efficiency of improved harmony search algorithm Harmony search algorithm is one of the most suitable meta-heuristics for solving these problems this article proposes a new energy-efficient clustering and routing algorithm based on harmony search algorithm to improve the energy efficiency of wireless sensor networks  a local search scheme is utilized to improve the best harmony in the hm.

Parametric optimization of shell and tube heat exchanger by harmony search algorithm ashish k patel1 krunal patel2 1post graduate student 2assistant professor 1,2mechanical department 1,2ldrp-itr, gandhinagar abstract— shell and tube heat exchanger is one of the most. (sa), improved harmony search algorithm (ihsa) and cuckoo search algorithm (csa) these meta-heuristic algorithms are applied to searching for optimal combinations of different machining parameters for five case studies taken from the literature. This paper develops an improved novel global harmony search (inghs) algorithm for solving optimization problems inghs employs a novel method for generating new solution vectors that enhances accuracy and convergence rate of novel global harmony search (nghs) algorithm. Through computer simulations, improved harmony search algorithm is shown to find better solutions (ie maximum covered area and lower energy consumption) than the original hs algorithm and their genetically-inspired counterparts.

In computer science, algorithmic efficiency is a property of an algorithm which relates to the number of computational resources used by the algorithm an algorithm must be analyzed to determine its resource usage, and the efficiency of an algorithm can be measured based on usage of different resources. Then, an improved harmony search algorithm is proposed, which includes an effective discrete encoding scheme of harmony, a new initialization method for harmony memory based on opposition-based. 11th international conference on hydroinformatics hic 2014, new york city, usa improving exploration and exploitation capability of harmony search algorithm joong hoon kim (1), do guen yoo (1), ho min lee (1), sung soo im (2.

Harmony search (hs), a musical inspired metaheuristic, is a recently introduced population based algorithm that has been successfully applied to global optimization problems in the present paper, the. Furthermore an improved harmony search (ihs) method for generating new solution vectors that enhances accuracy and convergence rate of hs has been employed the numerical results obtained show that the efficiency of the brushless dc wheel motor is more for ihs algorithm when compared to hs algorithm and ga. Abstract —in this paper, a pso-based update memory for improved harmony search (psoum-ihs) algorithm is proposed to learn the parameters of flexible beta basis function neural tree (fbbfnt) model.

Multi-objective optimization algorithm based on improved harmony search for wireless sensor network zhengqiu lu, linge wang, guangjun he, chunliang zhou sensor network protocol based on improved harmony search algorithm can increase the node energy-efficiency and prolong the network survival lifetime. Harmony memory (hm) for its stronger local search ability to improve the search efficiency and the solution quality of hs 2 the mathematical model of independent task scheduling. The classical harmony search algorithm (hsa) can only be used to solve the unconstrained optimization problems with continuous decision variables therefore, the classical hsa is not suitable for solving an engineering optimization problem with mixed discrete variables in order to improve the classical hsa, an engineering method for dealing with mixed discrete decision variables is introduced.

A survey of harmony search algorithm osama abdel-raouf parameters is often required to improve the efficiency of an algorithm for a particular problem there is no free lunch in improved harmony search(ihs), the global-best harmony search (ghs, global-best harmony search) [7]) and the. Final year projects | an improved clustering algorithm based on kmeans and harmony search optimization more details: visit . Efficiency of improved harmony search algorithm for 103 4 numerical examples as numerical examples, three well-known benchmark optimization problems as well as optimum topology design of a latticed geodesic dome and a optimum design of a steel rigid frame are used to demonstrate the performance effectiveness of the ihso algorithm.

Efficiency of improved harmony search algorithm

efficiency of improved harmony search algorithm Harmony search algorithm is one of the most suitable meta-heuristics for solving these problems this article proposes a new energy-efficient clustering and routing algorithm based on harmony search algorithm to improve the energy efficiency of wireless sensor networks  a local search scheme is utilized to improve the best harmony in the hm.

Efficiency as objective function, to ensure the required water pressure, under the reliable condition for the optimal economic in the optimization of network to solve the model is relatively difficult, improved harmony search algorithm (ihs) in the prophase, harmony memory size of m is larger. This paper develops an opposition-based improved harmony search algorithm (oihs) for solving global continuous optimization problems the proposed method is different from the classical harmony search (hs) in three aspects. Improved harmony search based energy-efficient routing algorithm when optimizing the continuous problems using hs algorithm, the pitch adjusting bandwidth is bw, which is different from the case in discrete optimization problem. Abstract to overcome the drawbacks of the harmony search (hs) algorithm and further enhance its effectiveness and efficiency, an improved differential hs (idhs) is proposed to solve numerical function optimization problems.

  • The improved harmony search algorithms differ from the original harmony search algorithm in that: (1) the harmonies are rearranged into sev- eral pairs and the better pairs are used to develop several new harmonies (2) different prob.
  • Abstract considering the low efficiency and instability of traditional genetic algorithm optimized pid controller, an improved algorithm named harmony search genetic algorithm to optimize pid controller’s parameters of mechanical arm is proposed in this paper.
  • Harmony search (hs) algorithm is a metaheuristic algorithm for solving optimization problems [5] it has been used to solve different types of problems in the past few years producing very effective results compared to other meta-heuristic algorithms and traditional techniques that computationally.

Assesses the efficiency of the proposed approach based on four and details the proposed subspace harmony search algorithm and the improved constraint-handling technique harmony search algorithm the hs algorithm, initially proposed by geem et al (2001), is a. Phase is using the improved harmony search algorithm to select feature gene voice search algorithm (harmony search, hs) is a new intelligent optimization algorithm, which simulates the process of the musicians to generate a. This site introduces music-inspired harmony search algorithm and its applications for any paper request, contact prof zong woo geem (. Then, an improved harmony search algorithm is proposed, which includes an effective discrete encoding scheme of harmony, a new initialization method for harmony memory based on opposition-based learning strategy, a dynamic harmony memory considering rate parameter and a local search strategy.

efficiency of improved harmony search algorithm Harmony search algorithm is one of the most suitable meta-heuristics for solving these problems this article proposes a new energy-efficient clustering and routing algorithm based on harmony search algorithm to improve the energy efficiency of wireless sensor networks  a local search scheme is utilized to improve the best harmony in the hm. efficiency of improved harmony search algorithm Harmony search algorithm is one of the most suitable meta-heuristics for solving these problems this article proposes a new energy-efficient clustering and routing algorithm based on harmony search algorithm to improve the energy efficiency of wireless sensor networks  a local search scheme is utilized to improve the best harmony in the hm. efficiency of improved harmony search algorithm Harmony search algorithm is one of the most suitable meta-heuristics for solving these problems this article proposes a new energy-efficient clustering and routing algorithm based on harmony search algorithm to improve the energy efficiency of wireless sensor networks  a local search scheme is utilized to improve the best harmony in the hm. efficiency of improved harmony search algorithm Harmony search algorithm is one of the most suitable meta-heuristics for solving these problems this article proposes a new energy-efficient clustering and routing algorithm based on harmony search algorithm to improve the energy efficiency of wireless sensor networks  a local search scheme is utilized to improve the best harmony in the hm.
Efficiency of improved harmony search algorithm
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2018.