A new metaheuristic for numerical function optimization: Vortex Search algorithm

Doğan, Berat; Ölmez, Tamer

doi:10.1016/j.ins.2014.08.053

Cited by 314 publications

(188 citation statements)

References 28 publications

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“…El algoritmo de búsqueda en vórtice (VS) se basa en el comportamiento del flujo vertical de un fluido que se encuentra agitado [15]. El algoritmo básico consta de cuatro pasos, resumidos en la Tabla 2.…”

Section: Método De La Búsqueda En Vórticeunclassified

Algoritmos de optimización en la estimación de propiedades termodinámicas en tiempo real durante el tratamiento térmico de materiales con microondas

García

Amaya

Correa

2017

revuin

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Este artículo puede compartirse bajo la licencia CC BY-ND 4.0 y se referencia usando el siguiente formato: E. García, I. Amaya, R. Correa, "Algoritmos de optimización en la estimación de propiedades termodinámicas en tiempo real durante el tratamiento térmico de materiales con microondas", UIS Ingenierías, vol. RESUMENEste trabajo considera la predicción en tiempo real de parámetros térmicos de una muestra sometida a radiación. Se estimaron la conductividad térmica y la capacidad calorífica. Se modeló el flujo volumétrico interno de calor uniforme y constante en el tiempo. Para resolver el problema inverso se usaron algoritmos de optimización global tales como el método de la espiral, el método de búsqueda en vórtice, el método de pesos ponderados, el método de enjambre de partículas unificado, el método de optimización del campo electromagnético y el método de búsqueda armónica de ancho auto-regulado. Los resultados muestran que todos los algoritmos empleados estiman correctamente estos dos parámetros siempre y cuando, la relación señal a ruido (SNR) de las muestras (simuladas en este trabajo) esté por encima de 30 [dB]. Por ende, para propósitos prácticos, si se dispone de un buen diseño experimental y una buena instrumentación, se podrían estimar con alta precisión estos parámetros en tiempo real. PALABRAS CLAVE:Calentamiento por microondas, Estimación de parámetros, Métodos de optimización global, Problema inverso. ABSTRACTThis work considers the real-time prediction of thermal parameters for a cylindrical sample heated in a uniform electromagnetic field. The thermal conductivity ( ) and the heat capacity ( ) were estimated for the present case. The inner volumetric electromagnetic flux radiation process was modeled as uniform and constant in time. The spiral optimization algorithm (SOA), the vortex search (VS), the weighted attraction method (WAM), the unified particle swarm optimization (UPSO), the electromagnetic field optimization (EFO) and the self-regulated fret-width harmony search algorithm (SFHS) were used to solve the ill-posed inverse problem. Results showed that all employed algorithms correctly estimated these two parameter only if the signal-to-noise-ratio of the measured samples (simulated in this work) were above of 30 [dB]. Therefore, for practical purposes, these parameters can be estimated in real-time if a good experimental design and a correctly specified electronic instrumentation are available.

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Section: Método De La Búsqueda En Vórticeunclassified

Algoritmos de optimización en la estimación de propiedades termodinámicas en tiempo real durante el tratamiento térmico de materiales con microondas

García

Amaya

Correa

2017

revuin

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“…c1 and c2 are positive acceleration constant in order to scale the contribution of cognitive and social components. r1 and r2 are random distributed numbers in range of 0 and 1 for adding stochastic feature to PSO algorithm [12]. The best position "lbest" in minimization problems is updated by following formula:…”

Section: T V T C R Lbest T X T C R Gbest T X Tmentioning

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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“…The Vortex Search (VS) algorithm is a recently proposed metaheuristic approach which is shown to be an effective method to perform numerical function optimization [10]. In order to achieve a good balance between the exploration and the exploitation, the search behavior of the VS algorithm is modeled as a vortex pattern.…”

Section: The Vortex Search Algorithmmentioning

confidence: 99%

“…This process should be performed in such a way that allows the algorithm to behave in an explorative manner in the initial steps and in an exploitative manner in the latter steps. In the VS algorithm, the inverse incomplete gamma function is used to decrease the value of the radius during each iteration pass [10]. The incomplete gamma function used in the VS algorithm is not very successful on the protein folding problem because of the shape of the energy landscape.…”

Section:  mentioning

confidence: 99%

“…Thus, with a small modification on the energy function of the off-lattice AB model, it is shown that, the energy surface of this function can be smoothed and thus, the convergence speed of the algorithms can be significantly improved. In our simulations, a newly proposed metaheuristic, the Vortex Search (VS) algorithm [10], is used. However, any other optimization algorithm could also be used in the experiments.…”

Section: Introductionmentioning

confidence: 99%

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

Doğan¹,

Ölmez²

2015

IJMLC

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Abstract-The energy function of the off-lattice AB model has a number of deep valleys and hills which usually leads the search algorithms to trap into a local minimum point. Existing studies usually performs algorithmic improvements on the well-known search methods to avoid from these local minimum points. However, these algorithmic improvements further increase the computational time which is not desired for the protein folding problem. In this study, it is aimed to smooth the energy landscape of this energy function and thus, to find a near optimal or optimal configuration without performing algorithmic improvements on the search methods. This is achieved by adding an additional term to the original energy function by which a hydrophobic core is formed and a near optimal and optimal configuration is found easily. In the experiments, a newly proposed optimization algorithm, the Vortex Search (VS) algorithm, is used to minimize both the original and modified energy functions. Experimental results showed that, the modified energy function helps the VS algorithm to find the desired configurations much more easier than the original function when the maximum number of iterations is kept equal for both cases.Index Terms-Off-lattice AB model, protein folding, vortex search algorithm.

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A new metaheuristic for numerical function optimization: Vortex Search algorithm

Cited by 314 publications

References 28 publications

Algoritmos de optimización en la estimación de propiedades termodinámicas en tiempo real durante el tratamiento térmico de materiales con microondas

Algoritmos de optimización en la estimación de propiedades termodinámicas en tiempo real durante el tratamiento térmico de materiales con microondas

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

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

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