Improved Harmony Search from Ensemble of Music Players

Geem, Zong Woo

doi:10.1007/11892960_11

Cited by 63 publications

(27 citation statements)

References 17 publications

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“…This algorithm also considers several solution vectors simultaneously in a manner similar to a genetic algorithm (Goldberg, 1989). However, the major difference between the Genetic Algorithm (GA) and the HS algorithm is that the latter generates a new vector from all the existing vectors, whereas the former generates a new vector from only two of the existing vectors (Geem, 2006). In addition, the HS algorithm can consider each component variable in a vector independently when it generates a new vector; the GA cannot, because it has to maintain the gene structure.…”

Section: Prediction Of Fatigue Model Parameters Using the Hs Algorithmmentioning

confidence: 98%

Fatigue life prediction of asphalt concrete pavement using a harmony search algorithm

Suh

Mun²,

Yeo

2010

KSCE Journal of Civil Engineering

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This paper proposes an efficient Harmony Search (HS) algorithm for determining the material parameters of a fatigue cracking model based on Accelerated Pavement Testing (APT). APT is preferred over typical laboratory experiments and testing because APT can simulate field pavement performance. The main advantage of the HS heuristic algorithm is its ability to find the best global solution of a nonlinear complex function based on a stochastic random search instead of a gradient search that requires derivative information. Finally, this paper develops a fatigue cracking model according to the hypothesis of cumulative damage for the asphalt concrete layer and compares APT to existing models. In comparison with existing models, the APT model is found to have the capability of simulating the field performance because it considers the wandering effect, resulting in longer fatigue cracking life than those life computed by the models from existing lab experiments.

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Section: Prediction Of Fatigue Model Parameters Using the Hs Algorithmmentioning

confidence: 98%

Fatigue life prediction of asphalt concrete pavement using a harmony search algorithm

Suh

Mun²,

Yeo

2010

KSCE Journal of Civil Engineering

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“…The basic goal of GA is to optimize functions called fitness functions and evaluate by this function [10]. However, the melody developed by GA could not be evaluated because there was no appropriate fitness function.The HS was superior to the GA in most cases because it overcame the drawback of the building block theory of GA [12]. This paper is organized as follows.…”

Section: Fig1: the 6-degree Of Freedom Of Auvmentioning

confidence: 99%

Robust Steering Control of Autonomous Underwater Vehicle: based on PID Tuning Evolutionary Optimization Technique

Rathore¹,

Kumar²

2015

IJCA

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This paper is devoted to a robust steering control of Autonomous Underwater Vehicle (AUV) based on tuning of PID controller using Genetic Algorithm (GA) and Harmonic Search Algorithm (HSA). Tuning of PID parameters is important because, these parameters have a great effect on the stability and performance of the control system. A harmonic Search Algorithm (HSA) technique uses to tune the PID parameters in AUV system. The HS algorithm mimics behaviors of music players in an improvisation process, in order to find a better state of harmony which can be translated into a solution vector in the optimization process.Numerical solutions based on the proposed PID control of an AUV system for nominal system parameters. In control strategies, like PID controller are succesfully designed to control the autonomous underwater vehicle. The elementary focus is to simulate the controller response.

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“…HS has also considered various theoretical factors such as correlation among decision variables, theoretical background of best fret width (FW) (i.e. the amount of maximum change in pitch adjustment), global searching by suppressing local prematureness, global searching by managing multiple harmony memories, adaptive parameter setting along the iteration, and so forth [3][4][5]. The algorithm has been also hybridized with other techniques such as genetic algorithm, simulated annealing, ant colony optimization, particle swarm optimization, chaos theory, fuzzy theory, artificial neural network, simplex method, Taguchi method, sequential quadratic programming, and commercial optimization module [6].…”

Section: Introductionmentioning

confidence: 99%

Adaptive probabilistic harmony search for binary optimization problems

2015

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Harmony search (HS) is an optimization technique that uses several operators such as pitch adjustments to provide local improvement to candidate solutions during the optimization process. A standard pitch adjustment operator is known to be inefficient for binary domain optimization problems. A novel adaptive probabilistic harmony search (APHS) algorithm for binary optimization problems is proposed in this paper. APHS combines the power of the standard harmony search with the modelling capability of probabilistic search algorithms, with almost no extra user-tuned parameters. In APHS, the expected value of the search probability distribution is adapted using a sample of "good" vectors among the population to minimize the cross entropy between the actual distribution and the measured one. Moreover, Bernoulli probability distribution was used to enhance the pitch adjustment operator to fit the binary optimization domain. The effectiveness and the robustness of the proposed algorithm are shown by a thorough comparison with state-of-the-art existing techniques in a number of binary space optimization problems with variant complexities and sizes. The set of binary space optimization problems investigated in this paper include: Max-One problem, Order-3 deceptive problem, Bipolar Order-6 deceptive problem, Muehlenbein's Order-5 problem, Knapsack problem, MultiKnapsack problem, and finally a real-world problem of the satellite broadcast scheduling. Experimental results show that our proposed algorithm is indeed very effective and outperforms the existing algorithms by finding optimal solutions for almost all tested benchmarks.

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Improved Harmony Search from Ensemble of Music Players

Cited by 63 publications

References 17 publications

Fatigue life prediction of asphalt concrete pavement using a harmony search algorithm

Fatigue life prediction of asphalt concrete pavement using a harmony search algorithm

Robust Steering Control of Autonomous Underwater Vehicle: based on PID Tuning Evolutionary Optimization Technique

Adaptive probabilistic harmony search for binary optimization problems

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