A hybrid algorithm based on gravitational search algorithm for unimodal optimization

Doraghinejad, Mohammad; Nezamabadi‐pour, Hossein; Sadeghian, Armindokht Hashempour; Maghfoori, Malihe

doi:10.1109/iccke.2012.6395365

Cited by 17 publications

(12 citation statements)

References 8 publications

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“…Also, a detector for video analysis is created inspired by this phenomenon 34 . It is declared that our work is different from other works that used the same name and is an extension of our previous works in this field 30,31 .…”

Section: Introductionmentioning

confidence: 76%

“…It means that the agents obey the law of gravity and receive the guidance from memory and social information. In this paper, we propose a new operator named "Black Hole" to enhance the abilities of exploitation and exploration of GSA which develops our prior works on the multimodal problems 30,31 . The idea behind black hole operator is inspired by the astronomical phenomenon.…”

Section: Introductionmentioning

confidence: 99%

“…Although the first version of the operator 30,31 speeds up the movement of objects toward the best solution and it makes rapid convergence of the unimodal problems, it fails to overcome the stagnation situation in complicated multimodal problems. Therefore, in this paper we extend the operator by reformulating it to be able to effectively handle both unimodal and multimodal problems.…”

Section: Introductionmentioning

confidence: 99%

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Black Hole: A New Operator for Gravitational Search Algorithm

Doraghinejad¹,

Nezamabadi‐pour²

2014

IJCIS

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Inspiring by nature have motivated many researchers in many fields of sciences and engineering. The Gravitational search algorithm (GSA) is a recent created metaheuristic algorithm by using law of gravity and mass interactions. In this paper, a new operator inspired by some of the characteristics of the black hole as an astronomy phenomenon for GSA is presented. When a star is converted to a black hole under situations, it has the extremely strong gravity that prevents anything to escape from, and the objects that are closed to the black hole, experience very strong force called tidal force which it causes to collapse them to the black hole. We propose a new operator using these features and hybridize it with GSA (BH-GSA) in order to prevent facing the premature convergence and to improve the abilities of GSA in exploration and exploitation. The proposed algorithm is applied to two sets of standard benchmark functions. The first set includes 23 standard benchmark functions and in this set the performance of the proposed algorithm is compared with the standard GSA, the disruption GSA, the particle swarm optimization (PSO), and the real genetic algorithm (GA). The second set contains the CEC 2005 benchmark functions. In this set, we compare the BH-GSA with some well-known metaheuristic algorithms. The obtained results and comparing with the competing algorithms prove that the BH-GSA has merit in the field of continuous space optimization.

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Section: Introductionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Black Hole: A New Operator for Gravitational Search Algorithm

Doraghinejad¹,

Nezamabadi‐pour²

2014

IJCIS

Self Cite

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“…The black hole (BH) phenomenon was invented by John Michell and Pierre Laplace (Montgomery, Orchiston and Whittingham, 2009). After the collapse of a massive star in the space, there is always a possibility for the BH to come in the picture (Doraghinejad et al, 2012). A lot of mass is scattered in the BH in such a way that the gravitational power of a BH becomes so high that any object which crosses its boundary will be swallowed by it and that object permanently dies out.…”

Section: Black Hole Phenomenonmentioning

confidence: 99%

Induction motor parameter estimation using disrupted black hole artificial bee colony algorithm

Sharma

Kapoor

2017

IJMHEUR

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The most widespread motors in industries are induction motors nowadays. The design, performance evaluation and control of induction motors are based on circuit parameters. The accurate measurement of electrical parameters, like resistance (or reactance), is a tedious job. So, researchers have found induction motor parameter estimation as a significant optimisation aspect. Though conventional techniques produce good results, the swarm intelligencemotivated techniques produce still better results for real-world optimisation problems nowadays. In this paper, swarm intelligence-motivated artificial bee colony (ABC) algorithm is modified with physics's phenomena. The proposed algorithm is named as disrupted black hole ABC (DBHABC) algorithm. Further, this proposed algorithm is applied for optimising induction motor parameter estimation. The obtained outcomes reveal that DBHABC may be a good choice for induction motor parameter estimation.

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“…Researchers have applied several modifications in order to cope with these issues. Operators like Disruption operator [12] and black hole operator [13] have been introduced in GSA to achieve a better balance of exploration and exploitation to avoid premature convergence. Yu Zhang et al (2012) have proposed immunity based gravitational search algorithm [14].…”

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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A hybrid algorithm based on gravitational search algorithm for unimodal optimization

Cited by 17 publications

References 8 publications

Black Hole: A New Operator for Gravitational Search Algorithm

Black Hole: A New Operator for Gravitational Search Algorithm

Induction motor parameter estimation using disrupted black hole artificial bee colony algorithm

Gravitational Search Algorithms in Data Mining: A Survey

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