Wyniki wyszukiwania - BazTech

1

Optimal EEG channels selection for alcoholism screening using EMD domain statistical features and harmony search algorithm

Bavkar Sandeep, Iyer Brijesh, Deosarkar Shankar

Biocybernetics and Biomedical Engineering

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2021

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Vol. 41, no. 1

83--96

EN

Alcoholism can be analyzed by Electroencephalogram (EEG) data. Finding an optimal subset of EEG channels for alcoholism detection is a challenging task. The paper reports a new methodology for the detection of optimal channels for alcoholism analysis using EEG data. The proposed technique employs the Empirical Mode Decomposition (EMD) technique to extract the amplitude and frequency modulated bandwidth features from the Intrinsic Mode Function (IMF) and ensemble subspace K-NN as a classifier to classify alcoholics and normal. The optimum channels are selected, using a harmony search algorithm. The fitness value of discrete binary harmony search (DBHS) optimization algorithms is calculated using accuracy and sensitivity achieved by the ensemble subspace K-Nearest Neighbor classifier. Experimental outcomes indicate that the optimal channel selected by the harmony search algorithm has biological inference related to the alcoholic subject. The proposed approach reports a classification accuracy of 93.87%, with only 12 detected EEG channels.

2

Optimal point to point path planning of flexible manipulator under large deformation by using harmony search method

Esfandiar H., Korayem M. H.

Journal of Theoretical and Applied Mechanics

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2016

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Vol. 54 nr 1

179--193

EN

This paper aims at planning an optimal point to point path for a flexible manipulator under large deformation. For this purpose, the researchers use a direct method and meta-heuristic optimization process. In this paper, the maximum load carried by the manipulator and the minimum transmission time are taken as objective functions of the optimization process to get optimal path profiles. Kinematic constraints, the maximum velocity and acceleration, the dynamic constraint of the maximum torque applied to the arms and also the constraint of final point accuracy are discussed. For the optimization process, the Harmony Search (HS) method is used. To evaluate the effectiveness of the approach proposed, simulation studies are reviewed by considering a two-link flexible manipulator with the fixed base. The findings indicate that the proposed method is in power of dealing with nonlinear dynamics of the system. Furthermore, the results obtained by rigid, small and large deformation models are compared with each other.

3

Application of the Harmony Search algorithm in solving the inverse heat conduction problem

Hetmaniok E., Jama D., Słota D., Zielonka A.

Zeszyty Naukowe. Matematyka Stosowana / Politechnika Śląska

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2011

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z. 1

99--108

EN

In this paper the inverse heat conduction problem with boundary condition of the third kind is solved by applying the recently invented Harmony Search algorithm belonging to the group of optimization algorithms inspired by the natural behaviors or processes. In this case the applied algorithm imitates the process of searching for the harmony in jazz music composition.In this paper the inverse heat conduction problem with boundary condition of the third kind is solved by applying the recently invented Harmony Search algorithm belonging to the group of optimization algorithms inspired by the natural behaviors or processes. In this case the applied algorithm imitates the process of searching for the harmony in jazz music composition.

PL

Celem niniejszego artykułu jest rozwiązanie odwrotnego zagadnienia przewodnictwa ciepła z warunkiem brzegowym trzeciego rodza- ju przy użyciu niedawno zaproponowanego algorytmu „Harmony Search” (poszukiwania harmonii). Zastosowany algorytm należy do grupy algoryt- mów optymalizacyjnych inspirowanych zachowaniami bądź procesami za- chodzącymi w rzeczywistym świecie, w szczególności imituje proces poszu- kiwania harmonii dźwięków podczas improwizacji jazzowej.

4

A Fast Harmony Search Algorithm for solving Economic Dispatch problem

Belmadani A., Benasal L., Rachli M.

Przegląd Elektrotechniczny

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2010

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R. 86, nr 3

274-278

EN

The Harmony Search Algorithm (HSA) is a newly developed meta-heuristic that uses a stochastic random search. The HSA is simple in concept, few in parameters and easy in implementation. Moreover, it does not require any derivative information. These features increase the applicability of the HSA, particularly in power system applications, where the problems have a large amount of variables and constraints. In this paper, a Fast method based on Harmony Search Algorithm (FHSA) for solving Economic Dispatch (ED) problem is proposed. The performance of FHSA is investigated and compared with HSA, Improved HSA (IHSA), Global HSA (GHSA) and Matpower method. Numerical results reveal that FHSA can find optimum solutions with reduced number of “improvisations” when compared to the other methods.

PL

Harmony Search Algorithm jest metodą meta-heurystyczną wykorzystującą poszukiwanie stochastyczne. Jest prosty w użyciu i nie wymaga informacji cząstkowej. Dlatego jest obecnie stosowany w optymalizacji systemów zasilania, gdzie problem składa się z wielu danych. A artykule przestawiono możliwość wykorzystania algorytmu do rozwiązania problemu ekonomicznego rozsyłu energii. Porównano różne metody. Wyniki wskazują, że szybki algorytm HSA pozwala znaleźć optymalne rozwiązanie z ograniczoną liczbą "improwizacji".

5

Optymalizacja kosztów struktury systemu energetycznego przy założonej niezawodności określona metodą poszukiwania równowagi

Rami A., Zeblah A., Massim Y.

Przegląd Elektrotechniczny

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2009

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R. 85, nr 4

169-172

PL

W pracy zaprezentowano meta-heurystyczny algorytm poszukiwania równowagi zastosowany do rozwiązania problemu optymalizacji wielostanowego szeregowo-równoległego systemu zasilania energią. Założono że krzywa wahań obciążenia jest wokół wartości zerowej. Określono minimalne koszty inwestycyjne konfiguracji systemu do otrzymania satysfakcjonującej niezawodności. Rezultaty poszukiwania równowagi porównano z wynikami metody wykorzystującej algorytmy genetyczne.

EN

In this study, the meta-heuristic harmony search algorithm was introduced and applied to solve a redundant optimization problem presented by multi-state series-parallel systems. We supposed variation of the load cumulative demand curve null. The proposed meta-heuristic determines the minimal investment-costs system configuration to satisfy reliability constraints. A universal generating function technique is applied to evaluate system availability. The results obtained by HS are compared to those obtained by genetic algorithm.

6

An Improved Harmony Search Algorithm with Differential Mutation Operator

Chakraborty P., Roy G.G., Das S., Jain D., Abraham A.

Fundamenta Informaticae

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2009

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Vol. 95, nr 4

401-426

EN

Harmony Search (HS) is a recently developed stochastic algorithm which imitates the music improvisation process. In this process, the musicians improvise their instrument pitches searching for the perfect state of harmony. Practical experiences, however, suggest that the algorithm suffers from the problems of slow and/or premature convergence over multimodal and rough fitness landscapes. This paper presents an attempt to improve the search performance of HS by hybridizing it with Differential Evolution (DE) algorithm. The performance of the resulting hybrid algorithm has been compared with classical HS, the global best HS, and a very popular variant of DE over a test-suite of six well known benchmark functions and one interesting practical optimization problem. The comparison is based on the following performance indices - (i) accuracy of final result, (ii) computational speed, and (iii) frequency of hitting the optima.