Modified Off-lattice AB Model for Protein Folding Problem Using the Vortex Search Algorithm

Doğan, Berat; Ölmez, Tamer

doi:10.7763/ijmlc.2015.v5.529

Cited by 15 publications

(4 citation statements)

References 10 publications

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“…The Vortex search algorithm is first proposed in [23,24]. Let us consider a two-dimensional optimization problem.…”

Section: Vortex Search Algorithm and Its Application For Designing Hymentioning

confidence: 99%

“…To overcome this disadvantage, in this paper, the Routh's stability standard is used to check the stable condition of the HAPF system. The Vortex search is a new optimization algorithm, that is effecty in solving global optimization [23,24]. Then a new multi-objective optimization design, based on the Vortex Search (VS) algorithm is proposed to determine the best set of parameters for the HAPF.…”

Section: Introductionmentioning

confidence: 99%

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Vortex search algorithm for designing hybrid active power filter

Thuyen¹,

Tung

Phong³

2020

IJEECS

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<p>This paper proposes a new multi-objective optimization design method for Hybrid Active Power Filter based on the Vortex Search algorithm. The Vortex Search algorithm belongs to the Single-Solution Based algorithm class of Metaheuristics algorithm. This design method has the advantage of fast execution time, high convergence speed and prevent local trap problems. The achieved results are multi-objective, such as minimum total harmonic distortion of the supply current and source voltage and satisfy many constraints such as system stability, resonance conditions of branches and limits of the parameters. Compared with the traditional design method, simulation results have proved that: the proposed design method is given with better results in minimizing total harmonic distortion of the supply current and source voltage.</p>

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“…The Vortex search algorithm is first proposed in [23,24]. Let us consider a two-dimensional optimization problem.…”

Section: Vortex Search Algorithm and Its Application For Designing Hymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vortex search algorithm for designing hybrid active power filter

Thuyen¹,

Tung

Phong³

2020

IJEECS

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show abstract

“…Because of the simplicity of the proposed VS algorithm, a significant decrease in the computational time of the 50 benchmark numerical functions was also achieved when compared to the population-based algorithms. In some other studies [17][18][19][20], the VS algorithm has also been successfully used for the solution of some real-world optimization problems.…”

Section: Introductionmentioning

confidence: 99%

A Modified Vortex Search Algorithm for Numerical Function Optimization

Doğan¹

2016

IJAIA

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The Vortex Search (VS) algorithm is one of the recently proposed metaheuristic algorithms which was inspired from the vortical flow of the stirred fluids. Although the VS algorithm is shown to be a good candidate for the solution of certain optimization problems, it also has some drawbacks. In the VS algorithm, candidate solutions are generated around the current best solution by using a Gaussian distribution at each iteration pass. This provides simplicity to the algorithm but it also leads to some problems along. Especially, for the functions those have a number of local minimum points, to select a single point to generate candidate solutions leads the algorithm to being trapped into a local minimum point. Due to the adaptive step-size adjustment scheme used in the VS algorithm, the locality of the created candidate solutions is increased at each iteration pass. Therefore, if the algorithm cannot escape a local point as quickly as possible, it becomes much more difficult for the algorithm to escape from that point in the latter iterations. In this study, a modified Vortex Search algorithm (MVS) is proposed to overcome above mentioned drawback of the existing VS algorithm. In the MVS algorithm, the candidate solutions are generated around a number of points at each iteration pass. Computational results showed that with the help of this modification the global search ability of the existing VS algorithm is improved and the MVS algorithm outperformed the existing VS algorithm, PSO2011 and ABC algorithms for the benchmark numerical function set.Comment: 18 pages, 7 figure

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“…For this purpose, the solutions that exceed the boundaries are transferred into the boundaries [14]. In the selection part, s i in the each iteration compares with global best solution (sbest).…”

Section: International Journal Of Computer and Communication Engineeringmentioning

confidence: 99%

Optimal Rectangular Microstrip Antenna with and without Air Gaps Design by Means of Particle Swarm Optimization and Vortex Search Algorithm

Özkaya¹,

Seyfi²

2017

IJCCE

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Abstract:In this paper, Particle Swarm Optimization and Vortex Search Algorithm are applied to design desired characteristics of rectangular microstrip antenna with and without air gaps. The proposed artificial intelligence algorithms are inspired from natural events or behavior of living things in nature. Resonance frequency and return loss of microstrip antenna are dependence with design parameters. The computed results for dielectric substrate's height is tuned by Particle Swarm Optimization and Vortex Search Algorithm for optimal design.

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Modified Off-lattice AB Model for Protein Folding Problem Using the Vortex Search Algorithm

Cited by 15 publications

References 10 publications

Vortex search algorithm for designing hybrid active power filter

Vortex search algorithm for designing hybrid active power filter

A Modified Vortex Search Algorithm for Numerical Function Optimization

Optimal Rectangular Microstrip Antenna with and without Air Gaps Design by Means of Particle Swarm Optimization and Vortex Search Algorithm

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