An improved version of Inverse Distance Weighting metamodel assisted Harmony Search algorithm for truss design optimization

Shahbazi, Mohammad M.; Gholipour, Yaghob; Behnia, Arash

doi:10.1590/s1679-78252013000200004

Cited by 17 publications

(4 citation statements)

References 24 publications

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“…Inverse distance weighted (IDW) is a multi-variable interpolation method in processing irregularly spaced data (Gholipour et al, 2013). The interpolation value appears more accurate for close distances between the sample data.…”

Section: Inverse Distance Weighted (Idw)mentioning

confidence: 99%

Measurement of Thermal Comfort in Urban Public Spaces Semarang, Indonesia

Kurniati¹,

Kurniawati²,

Dewi³

et al. 2021

JST

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Indonesia reported a maximum annual temperature rise of 0.3°C in urban regions. Semarang, the largest metropolitan city in the province of Central Java, is also experiencing an increase in temperature due to climate change therefore activities in urban public spaces are disrupted due to the absence of a comfortable temperature. Urban design elements, including land cover materials, road geometry, vegetation and traffic frequency expressed significant effects on micro-climate. Measurement of Thermal Comfort in Urban Public Spaces Semarang was carried out s at the micro level as an old historical district The Old Town and Chinatown. This increment indeed influences thermal comfort level in its outdoor environments which are important for comfortability of outdoor activity. This study aims to analyse surface temperature through Thermal Comfort Measurement. Data was obtained by measuring air temperature, wind speed and humidity in the morning, afternoon, and evening. Inverse distance weighted (IDW), thermal comfort calculations and micro-climate model were employed to evaluate existing physical conditions of these settlements. The results showed both Old Town and Chinatown observed thermal comfort value above 27°C and are categorized as uncomfortable for outdoor activities. This research is contributing to the need to further develop public spaces to potentially adapt to environmental changes.

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Section: Inverse Distance Weighted (Idw)mentioning

confidence: 99%

Measurement of Thermal Comfort in Urban Public Spaces Semarang, Indonesia

Kurniati¹,

Kurniawati²,

Dewi³

et al. 2021

JST

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“…The inverse distance weighted (IDW) method as an interpolation method 1 . Widely used in, image interpolation 2 , spatial data interpolation 3 , 4 , and algorithm optimization 5 , 6 . The IDW method is considered to be a highly adaptable resource estimation method 7 .…”

Section: Introductionmentioning

confidence: 99%

The influence of distance weight on the inverse distance weighted method for ore-grade estimation

Liu

Xin

Jia

et al. 2021

Sci Rep

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In order to study the influence of distance weight on ore-grade estimation, the inverse distance weighted (IDW) is used to estimate the Ni grade and MgO grade of serpentinite ore based on a three-dimensional ore body model and related block models. Manhattan distance, Euclidean distance, Chebyshev distance, and multiple forms of the Minkowski distance are used to calculate distance weight of IDW. Results show that using the Minkowski distance for the distance weight calculation is feasible. The law of the estimated results along with the distance weight is given. The study expands the distance weight calculation method in the IDW method, and a new method for improving estimation accuracy is given. Researchers can choose different weight calculation methods according to their needs. In this study, the estimated effect is best when the power of the Minkowski distance is 3 for a 10 m × 10 m × 10 m block model. For a 20 m × 20 m × 20 m block model, the estimated effect is best when the power of the Minkowski distance is 9.

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“…As an example, in the realm of structural engineering, it is very important to determine the external loading under real service conditions, aiming at evaluating the level of security of the structure, to verify the design configurations that were adopted at the design stage, or for redesigning structural elements for new operating conditions (Rojas et al, 2004). Various strategies have been developed for the solution of such problems (Rojas et al, 2004, Cardozo et al, 2011, Gholipour et al, 2013.…”

Section: Introductionmentioning

confidence: 99%

Fish swarm optimization algorithm applied to engineering system design

Lobato

Steffen

2014

Lat. Am. j. solids struct.

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Nowadays, optimization techniques based on the analogy with swarming principles and collective activities of social species in nature have been used in the development of methodologies for solving a variety of real-world optimization problems. In this context, the social behavior of fish colonies has been recently explored to develop a novel algorithm, the so-called Fish Swarm Optimization Algorithm (FSOA), based on the behavior of fish swarm in search for food. In this paper, the FSOA is applied to four engineering systems, involving typical structural design and distillation column design. The results obtained are then compared with those obtained from other classical evolutionary approaches.

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An improved version of Inverse Distance Weighting metamodel assisted Harmony Search algorithm for truss design optimization

Cited by 17 publications

References 24 publications

Measurement of Thermal Comfort in Urban Public Spaces Semarang, Indonesia

Measurement of Thermal Comfort in Urban Public Spaces Semarang, Indonesia

The influence of distance weight on the inverse distance weighted method for ore-grade estimation

Fish swarm optimization algorithm applied to engineering system design

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