BGSA: binary gravitational search algorithm

Rashedi, Esmat; Nezamabadi‐pour, Hossein; Saryazdi, Saeı̈d

doi:10.1007/s11047-009-9175-3

Cited by 649 publications

(342 citation statements)

References 20 publications

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“…(12) calculates gravitational constant G(t) in time t. T is number of iterations, G(t 0 ) initial value of gravitational constant, t also refers to the moment of iteration [20][21][22][23][24]. (13) where, m pi (t), m aj (t) active and passive masses respectively, at iteration tR ij (t) is the Euclidian distance between two masses i th and j th at iteration t. ε is a small constant [20 ÷ 24].…”

Section: Gravitational Search Algorithmmentioning

confidence: 99%

An approach for designing passive power filters for industrial power systems by using gravitational search algorithm

et al. 2015

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Original scientific paper Harmonics are one of the important factors in determining the energy quality in power systems. Hence, eliminating or damping undesired harmonics is crucial in electrical power systems. Due to their low costs, Passive Power Filters (PPF) are widely used in industrial power systems to limit harmonics' undesired affects. In this study, a new approach to design a PPF for power systems using heuristic Gravitational Search Algorithms (GSA) is proposed. Traditional Try and Error (TAE) method is, first, utilized to eliminate harmonics in our model power system. Then, GSA is adopted to minimize the effective current value of Point of Common Coupling (PCC) in the same model system. Our results yield that our proposed method with GSA eliminates the harmonics effectively. Keywords: GSA; Passive Power Filters; power systems harmonicsPristup projektiranju pasivnih energetskih filtara za industrijske energetske sustave primjenom algoritama za istraživanje gravitacije Izvorni znanstveni članak Harmonike su jedan od najvažnijih čimbenika pri određivanju kvalitete energije u energetskim sustavima. Stoga je odstranjivanje ili prigušivanje nepoželjnih harmonika od bitne važnosti u elektroenergetskim sustavima. Zahvaljujući niskoj cijeni, pasivni energetski filtri -Passive Power Filters (PPF) uvelike se koriste u industrijskim energetskim sustavima u svrhu ograničenja neželjenih učinaka harmonika. U ovom se radu predlaže novi pristup projektiranju PPF-a za energetske sustave koji primjenjuju heurističke algoritme za istraživanje gravitacije -Gravitational Search Algorithms (GSA). Najprije se, u svrhu eliminiranja harmonika u našem modelu energetskog sustava, primijenila tradicionalna metoda pokušaja i greške -Try and Error (TAE) method. Zatim su se primijenili GSA da bi se smanjila efektivna vrijednost struje u Point of Common Coupling (PCC) u sustavu istog modela. Rezultati pokazuju da naša predložena metoda s GSA učinkovito odstranjuje harmonike.

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Section: Gravitational Search Algorithmmentioning

confidence: 99%

An approach for designing passive power filters for industrial power systems by using gravitational search algorithm

et al. 2015

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“…On the other hand, it can be observed that EOFA has the best performance for most of the test functions except for F2 and F11 where GSA outperforms EOFA. It is known from the reviews that, different algorithms may perform better than others for different problems (Elbeltagi et al 2005;Rashedi et al 2010). Performances in terms of convergence between FA, GSA and EOFA for randomly chosen functions are illustrated from Figure 3 to Figure 6.…”

Section: Resultsmentioning

confidence: 99%

An Enhanced Opposition-based Firefl y Algorithm for Solving Complex Optimization Problems

Wong¹,

Shareef²,

Mohamed³

et al. 2014

JKUKM

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“…Researchers have applied fuzzy logic to control the effectiveness of the parameters of GSA [5] [6] [7]. Initially, a GSA was devised for function optimization but later it has been redesigned for other optimization problems like binary optimization problem [8], multi-objective problems [9], discrete optimization problem [10] and multi-modal problems [11].…”

Section: ) Computing Accelerationmentioning

confidence: 99%

Gravitational Search Algorithms in Data Mining: A Survey

Patil¹,

Ratnoo²

2017

International Journal of Advanced Research in Computer and Comm

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A Gravitational Search Algorithm is a meta-heuristic search algorithm inspired by Newton"s laws of motion and gravitation force. Gravitational search based algorithms have attracted the attention of data mining community due to their ability to effectively search large and complex search spaces as is the case with the domain of data mining and knowledge discovery. Gravitational search algorithms have been applied to the data mining tasks like classification, clustering objects and mining association rules etc. This paper presents a survey on the applications of Gravitational Search based algorithms in data mining and indicates the scope of further research on using GSAs in the field of data mining.

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BGSA: binary gravitational search algorithm

Cited by 649 publications

References 20 publications

An approach for designing passive power filters for industrial power systems by using gravitational search algorithm

An approach for designing passive power filters for industrial power systems by using gravitational search algorithm

An Enhanced Opposition-based Firefl y Algorithm for Solving Complex Optimization Problems

Gravitational Search Algorithms in Data Mining: A Survey

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