A binary variant of lightning search algorithm: BLSA

Islam, Md. Mainul; Shareef, Hussain; Mohamed, Azah; Wahyudie, Addy

doi:10.1007/s00500-016-2171-5

Cited by 21 publications

(19 citation statements)

References 20 publications

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“…The following describes the binary variant of LSA -binary lightning search algorithm (BLSA). The BLSA was proposed by Islam et al in 2016 to optimize the binary combinational problems [10]. In the BLSA, each projectile position vector is a binary one that represents the material type and thickness of each layer of the absorber, and the position update is to flip the bits from "0" to "1" and vice versa.…”

Section: Binary Lightning Search Algorithmmentioning

confidence: 99%

“…The hybrid algorithm transforms the optimization problem of the absorber parameters into solving the binary problem, which obtains a more accurate solution. Among them, binary lightning search algorithm (BLSA) [10] is a binary variable of the standard lightning search algorithm (LSA) [11], which is mainly used to solve binary problems directly, and has proved its search accuracy is high. Moreover, the purpose of introducing simulated annealing (SA) [12] is to avoid the BLSA falling into the local optimal solution.…”

Section: Introductionmentioning

confidence: 99%

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Design of Multilayer Microwave Absorbers Using Hybrid Binary Lightning Search Algorithm and Simulated Annealing

Lu¹,

Zhou²

2017

PIER B

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Abstract-In this paper, a hybrid algorithm of binary lightning search algorithm and simulated annealing (BLSA-SA) is proposed to optimize the design of multilayer microwave absorbers for normal incidence. The multilayer absorber is designed to find a set of coatings that minimize the reflection coefficient over the desired frequency. The design problem is translated into solving the binary problem. Three different design examples are presented to verify the performance of the BLSA-SA. The results show that the reflection coefficient and thickness of BLSA-SA are better than those of other heuristic algorithms for multilayer absorber design. In the five-layer design, the standard deviation of BLSA-SA is the smallest among the 20 independent test results of the algorithms, which indicates that the BLSA-SA algorithm, has a strong stability.

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Section: Binary Lightning Search Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of Multilayer Microwave Absorbers Using Hybrid Binary Lightning Search Algorithm and Simulated Annealing

Lu¹,

Zhou²

2017

PIER B

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“…The lightening search algorithm (LSA) is a powerful and flexible optimization technique without many initial parameters that has been applied for many engineering problems. It is a fast, reliable, and simple method and can be updated to binary or discrete versions [31].…”

Section: Problem Formulationmentioning

confidence: 99%

“…The probability function ( ) should be used as represented in Equation (19) to map a discrete search space. Therefore, equation (16) is modified to Equation (20) for the space projectile position at step + 1, which shows a decreasing probability of changing the position of the projectile for increasingly small spaces [31].…”

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confidence: 99%

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Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm

Sirjani¹

2017

Sustainability

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Currently, many wind farms exist throughout the world and, in some cases, supply a significant portion of energy to networks. However, numerous uncertainties remain with respect to the amount of energy generated by wind turbines and other sophisticated operational aspects, such as voltage and reactive power management, which requires further development and consideration. To fix the problem of poor reactive power compensation in wind farms, optimal capacitor placement has been proposed in existing wind farms as a simple and relatively inexpensive method. However, the use of induction generators, transformers, and additional capacitors represent potential problems for the harmonics of a system and therefore must be taken into account at wind farms. The optimal location and size of capacitors at buses of an 80-MW wind farm were determined according to modelled wind speed, system equivalent circuits, and harmonics in order to minimize energy losses, optimize reactive power and reduce the management costs. The discrete version of the lightning search algorithm (DLSA) is a powerful and flexible nature-inspired optimization technique that was developed and implemented herein for optimal capacitor placement in wind farms. The obtained results are compared with the results of the genetic algorithm (GA) and the discrete harmony search algorithm (DHSA).

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Multi‐objectivequantum atom search optimization algorithm for electric vehicle charging station planning

Asna

Shareef

Muhammad

et al. 2022

Intl J of Energy Research

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This paper presents an effective planning methodology for electric vehicle (EV) fast-charging stations (CS) using a multi-objective binary version of the atom search optimization (ASO) algorithm. The proposed method uses quantum operations to binarize the algorithm and achieve a higher convergence rate than the existing binary ASO algorithm. Additionally, a modified atom selection function is used to improve the searching capability of the ASO algorithm. Furthermore, the nondominated sorting procedure and pareto concepts are infused to solve the CS location problem (CSLP) considering the EV travel time, CS costs, and grid power loss as independent multi-objectives. The efficacy of the proposed multi-objective quantum ASO (MO-QASO) algorithm is evaluated using performance metrics namely, inverted generational distance (IGD), spacing (SP), and maximum spread (MS). The MO-QASO simulation results are compared with the results of other heuristic algorithms. MO-QASO achieves the best IGD (0.0021), SP (0.0002), and MS (0.9982) values, verifying the convergence and diversity of the algorithm. Importantly, the best CS planning solution obtained from MO-QASO is similar to the true solution obtained from the exhaustive search method. The MO-QASO efficiency is further validated by solving a CSLP from literature. Thus, the MO-QASO algorithm is a promising optimization tool for solving CSLP.

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A binary variant of lightning search algorithm: BLSA

Cited by 21 publications

References 20 publications

Design of Multilayer Microwave Absorbers Using Hybrid Binary Lightning Search Algorithm and Simulated Annealing

Design of Multilayer Microwave Absorbers Using Hybrid Binary Lightning Search Algorithm and Simulated Annealing

Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm

Multi‐objectivequantum atom search optimization algorithm for electric vehicle charging station planning

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