Applications of Gravitational Search Algorithm in Engineering

Siddiquea, Nazmul; Adelib, Hojjat

doi:10.3846/13923730.2016.1232306

Cited by 20 publications

(12 citation statements)

References 105 publications

(96 reference statements)

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“…Optimizations "inspired by nature" based on chemistry [1], physics [2] and other natural sciences [3] were described. Applications of gravitational search algorithms [4], simulated annealing [5] and central force metaheuristic optimization [6] as nature-inspired conceptual frameworks in engineering are presented. Much attention is being paid to vibration control and the health monitoring of buildings and engineering structures [7][8][9][10][11], including bridges [12,13] and high-rise buildings [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

et al. 2017

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Sustainable decision-making in civil engineering, construction and building technology can be supported by fundamental scientific achievements and multiple-criteria decision-making (MCDM) theories. The current paper aims at overviewing the state of the art in terms of published papers related to theoretical methods that are applied to support sustainable evaluation and selection processes in civil engineering. The review is limited solely to papers referred to in the Clarivate Analytic Web of Science core collection database. As the focus is on multiple-criteria decision-making, it aims at reviewing how the papers on MCDM developments and applications have been distributed by period of publishing, by author countries and institutions, and by journals. Detailed analysis of 2015-2017 journal articles from two Web of Science categories (engineering civil and construction building technology) is presented. The articles are grouped by research domains, problems analyzed and the decision-making approaches used. The findings of the current review paper show that MCDM applications have been constantly growing and particularly increased in the last three years, confirming the great potential and prospects of applying MCDM methods for sustainable decision-making in civil engineering, construction and building technology.

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Section: Introductionmentioning

confidence: 99%

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

et al. 2017

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“…The gravitational search algorithm (GSA), applied in this research, is a nature-inspired metaheuristic optimization tool grounded on the gravitational law and mass interactions [35] and, similarly, the mathematical formulations of the firefly algorithm (FFA) are constituted on the flashing behavior of fireflies [36]. Both of these algorithms have demonstrated their capability to search for the global optimum solution [37,38]. The weather information, including wet bulb temperature, relative humidity, and vapor pressure, are used as model inputs to estimate daily DPT.…”

Section: Introductionmentioning

confidence: 99%

Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms

Naganna

Deka

Ghorbani

et al. 2019

Water

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Dew point temperature (DPT) is known to fluctuate in space and time regardless of the climatic zone considered. The accurate estimation of the DPT is highly significant for various applications of hydro and agro–climatological researches. The current research investigated the hybridization of a multilayer perceptron (MLP) neural network with nature-inspired optimization algorithms (i.e., gravitational search (GSA) and firefly (FFA)) to model the DPT of two climatically contrasted (humid and semi-arid) regions in India. Daily time scale measured weather information, such as wet bulb temperature (WBT), vapor pressure (VP), relative humidity (RH), and dew point temperature, was used to build the proposed predictive models. The efficiencies of the proposed hybrid MLP networks (MLP–FFA and MLP–GSA) were authenticated against standard MLP tuned by a Levenberg–Marquardt back-propagation algorithm, extreme learning machine (ELM), and support vector machine (SVM) models. Statistical evaluation metrics such as Nash Sutcliffe efficiency (NSE), root mean square error (RMSE), and mean absolute error (MAE) were used to validate the model efficiency. The proposed hybrid MLP models exhibited excellent estimation accuracy. The hybridization of MLP with nature-inspired optimization algorithms boosted the estimation accuracy that is clearly owing to the tuning robustness. In general, the applied methodology showed very convincing results for both inspected climate zones.

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“…Designs with a general sim N and var N that are supposed to fill the hypercube uniformly are usually sought for via heuristic optimization (Morris, Mitchell 1995;Mortazavi et al 2017;Siddiquea, Adelib 2016;Vořechovský, Novák 2009). There are many different criteria that are designed to measure this uniformity and are subject to minimization during such optimization.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Pairwise Distances Among Points Forming a Regular Orthogonal Grid in a Hypercube

Sadílek

Vořechovský

2018

Journal of Civil Engineering and Management

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Cartesian grid is a basic arrangement of points that form a regular orthogonal grid (ROG). In some applications, it is needed to evaluate all pairwise distances among ROG points. This paper focuses on ROG discretization of a unit hypercube of arbitrary dimension. A method for the fast enumeration of all pairwise distances and their counts for a high number of points arranged into high-dimensional ROG is presented. The proposed method exploits the regular and collapsible pattern of ROG to reduce the number of evaluated distances. The number of unique distances is identified and frequencies are determined using combinatorial rules. The measured computational speed-up compared to a naïve approach corresponds to the presented theoretical analysis. The proposed method and algorithm may find applications in various fields. The paper shows application focused on the behaviour of various distance measures with the motivation to find the lower bounds on the criteria of point distribution uniformity in Monte Carlo integration.

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Applications of Gravitational Search Algorithm in Engineering

Cited by 20 publications

References 105 publications

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

Sustainable Decision-Making in Civil Engineering, Construction and Building Technology

Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms

Evaluation of Pairwise Distances Among Points Forming a Regular Orthogonal Grid in a Hypercube

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