Enhancing the Harmony Search Algorithm Performance on Constrained Numerical Optimization

Portilla-Flores, Edgar Alfredo; Sánchez-Márquez, Álvaro; Flores-Pulido, Leticia; Vega-Alvarado, Eduardo; Yanez, Maria Barbara Calva; Aponte-Rodriguez, Jorge Alexander; Niño-Suárez, Paola Andrea

doi:10.1109/access.2017.2771741

Cited by 27 publications

(25 citation statements)

References 48 publications

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“…Por ello es necesario implementar el método conocido como flujo óptimo de potencia el cual nos permite identificar si los valores de las variables son los adecuados. Hecho esto, se ve la necesidad de ejecutar el algoritmo de Búsqueda Harmónica, mediante el cual se elige aleatoriamente una barra o bus del sistema, para implementar en él un sistema fotovoltaico a modo de Generación Distribuida para compensar si su funcionamiento no es el óptimo, luego de esto, el resultado obtenido debe ser archivado en la memoria harmónica para posteriormente analizar si es o no la barra adecuada, este proceso se debe repetir para las n barras que componen el sistema [27], [28], [29].…”

Section: Ubicación De Sistemas Fotovoltaicos En La Red De Distribución De Corriente Continua De Medio Voltajeunclassified

Location of solar panels to the medium voltage direct current distribution network considering DC loads

Minchala¹,

Valenzuela²

2021

ITECKNE

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The penetration of renewable energies of Direct Current (DC) to the Distribution Network of Direct Current of Medium Voltage (MVDC) is already a reality. Therefore, extensive planning is required for its location in the electrical network. The implementation of this energy brings great advantages to the system since it contributes to the reduction of losses, improvement of the voltage profile, greater reliability in the system since there is generation of the photovoltaic system installed and of the distribution company. This article was carried out through a bibliographic review of the bases IEEE Xplore, Science Direct, Taylor & Francis and related academic knowledge, identifying several positive and negative aspects of this new reality of renewable energy, in the same way it was analyzed the Energy Storage System (BESS) and the impact of Electric Vehicles (EV) on distribution networks.

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Section: Ubicación De Sistemas Fotovoltaicos En La Red De Distribución De Corriente Continua De Medio Voltajeunclassified

Location of solar panels to the medium voltage direct current distribution network considering DC loads

Minchala¹,

Valenzuela²

2021

ITECKNE

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“…In the final optimized design, the goal is to minimize the beam's own weight. This problem can be expressed analytically as follows: Using the improved DSM-ABC algorithm to automate the design of the cantilever beam, we set a five-dimensional variable(x 1 , x 2 , x 3 , x 4 , x 5 ) that corresponds to the five square members (1,2,3,4,5) in the cantilever beam structure. The bound constraints are set as 0.01 ≤ x j ≤ 100.…”

Section: A the Design Of Cantilever Beammentioning

confidence: 99%

“…Most of the structural design optimization problems in engineering are proved to be NP-hard problems, which means we cannot find an optimal approach to solve the problems in polynomial computation time. However, swarm intelligent algorithms (SI) [1] such as Particle Swarm Optimization (PSO) [2], Firefly Algorithm (FA) [3], Artificial Bee Colony Algorithm (ABC) [4] and other algorithms proposed in recent years [5]- [8] have become a superior tool for solving the constrained optimization problems.…”

Section: Introductionmentioning

confidence: 99%

Dual-Search Artificial Bee Colony Algorithm for Engineering Optimization

et al. 2019

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With the development of science and technology, the accuracy requirements for solving engineering problems are getting stricter than before. Most structural design optimization problems in civil and mechanical engineering have proven to be the non-deterministic polynomial hard problems. The artificial bee colony (ABC) algorithm has been proven to be an effective method of design optimization problems. This paper proposes an improved ABC algorithm (DSM-ABC) combined with dual-search mechanism containing Lévy flight and differential self-perturbation and applies it to three classical structural design problems, including cantilever beam design, gear train design, and three-bar truss design. The experimental results of benchmark functions from CEC2005 reveal that the proposed DSM-ABC algorithm accelerates the convergence and improves the performance. Eventually, the obtained results of optimization structural design problems prove that the DSM-ABC algorithm has a strong superiority compared with the state-ofthe-art algorithms in solving optimization engineering design problems.INDEX TERMS Artificial bee colony algorithm, dual search mechanism, Lévy flight, differential selfdisturbance mechanism, engineering optimization.

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“…Amaya et al in [25] provided a variant with self-regulated fretwidth for the optimum solution with less iteration. In [26], a new dynamic change on bw parameter has been presented, but the attached static parameters reduce the applicability and the performance of the algorithm. Kong et al in [27] proposed a new simplified binary harmony search algorithm, where the harmony memory considering rate is dynamically adjusted in terms of the dimension size for improvement of the algorithm convergence.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Cultural Harmony Search Algorithm for Constrained Optimization Problem of Diesel Blending

et al. 2020

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This paper studies the constrained optimization problem for nonlinear diesel blending. A new hybrid algorithm called cultural harmony search algorithm is presented to solve the proposed optimization problem, which uses cultural knowledge in the belief space of the cultural algorithm to guide the evolving and searching process of the harmony search algorithm. Then, an improved harmony improvisation in the population space of cultural algorithm is developed for new harmony generation to enrich the population diversity. Moreover, in order to accelerate convergence, the domain of decision variables is scaled down by a simplex method at the beginning of the algorithm, and a simplex improved cultural harmony search algorithm is provided. Finally, benchmark functions and the results of application in nonlinear diesel blending of a realworld refinery show the feasibility and effectiveness of the proposed algorithms. The contrasted experiments show that our proposed hybrid algorithm is better than other hybrid algorithms, especially in diesel blending optimization problem.INDEX TERMS Nonlinear diesel blending, variable domain reduction, simplex improved cultural harmony search algorithm, constrained optimization.

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Enhancing the Harmony Search Algorithm Performance on Constrained Numerical Optimization

Cited by 27 publications

References 48 publications

Location of solar panels to the medium voltage direct current distribution network considering DC loads

Location of solar panels to the medium voltage direct current distribution network considering DC loads

Dual-Search Artificial Bee Colony Algorithm for Engineering Optimization

A Hybrid Cultural Harmony Search Algorithm for Constrained Optimization Problem of Diesel Blending

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