A review on hybrid optimization algorithms to coalesce computational morphogenesis with interactive energy consumption forecasting

Mavromatidis, Lazaros Elias

doi:10.1016/j.enbuild.2015.07.003

Cited by 23 publications

(17 citation statements)

References 73 publications

(110 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Diversely, there are very few researches that aimed to provide more general conclusions in order to apply the research output at early design stages [30][31][32][33][34][35][36][37][38][39][40][41]. These researches managed to provide insights regarding the main parameters that influence the thermal identity of a building form in relation to its thermal and lighting comfort and enriched the literature with a variety of statistical models.…”

Section: Methodsmentioning

confidence: 99%

Constructal Macroscale Thermodynamic Model of Spherical Urban Greenhouse Form with Double Thermal Envelope within Heat Currents

Mavromatidis

2019

Sustainability

View full text Add to dashboard Cite

Urban agriculture is becoming a timely environmental friendly practice to strengthen cities’ resilience to climate change. However, there is a lack of academic literature regarding the thermodynamic potential of interior urban agriculture. Furthermore, there is always a need to develop, from scratch, an updated methodological approach that aims to assist architects of conceiving such specific thermodynamically complex interior environments. In this paper, urban space is identified as a ‘flow system’, and Bejan’s constructal law of generation of flow structure is used to morph and discover the system flow architecture that offers greater global performance (greater access to what flows). More precisely, a macroscale thermodynamic model of spherical urban greenhouse form with double thermal envelope has been developed while the methodological approach resulted in the definition of a decisional flowchart that can be reproduced by other researchers. On the basis of this macroscale constructal model, the present paper proposes reduced models that link thermodynamic and geometric parameters in an accurate manner and can be used at early design stages for pedagogic and qualitative optimization purposes, integrating urban farming to architectural programming.

show abstract

Section: Methodsmentioning

confidence: 99%

Constructal Macroscale Thermodynamic Model of Spherical Urban Greenhouse Form with Double Thermal Envelope within Heat Currents

Mavromatidis

2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…The use of multi-path airspace control information systems [16][17][18][19] allows to improve the quality of information support. However, the cited works also provide for staged data processing, which eliminates joint optimization of data processing and, as a result, reduces the quality of information support for decision makers.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Secondary Surveillance Radar Data Processing

Стрельницький¹,

Свид²,

Обод³

et al. 2019

IJISA

View full text Add to dashboard Cite

Secondary surveillance radar (SSR) performs one of the main functions of information service for consumers of the airspace control system. To improve the quality the SSR information is processed using modern information technology. The use of a consistent procedure for processing surveillance system data, due to the functionally completed stages of processing, made it possible to formalize the data processing procedure. However, this significantly limited, and in some cases excluded, the opportunities for inter-stage optimization of data processing. The SSR data processing structure synthesis and analysis are considered in this paper making it possible to perform a joint optimization of signal processing and primary processing of data, as well as to improve the quality of data processing.

show abstract

“…Many previous optimal design research works have been published and proposed [16]. This research demonstrates how the application of numerical optimal simulation techniques can be used to search for an effective and robust optimization of an effective micro multi-channel heat sink.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Micro Channel Heat Sink by Combing Genetic Algorithm with the Finite Element Method

2018

View full text Add to dashboard Cite

Abstract:The design of a micro multi-channel heat sink to achieve the minimum thermal resistance is the purpose of this study. The numerical package is employed by using the genetic algorithm to process the heat dissipation optimization of the micro multi-channel heat sink (the genetic algorithm employs the numerical package). The variables of this optimal design include channel number, channel aspect ratio and the ratio of channel width to pitch, as well as considering the weight of this micro channel heat sink in the optimal design process. Therefore, this optimization is a multi-objective function design. The results show that the thermal resistance is decreased as 0.144 W/K, and the weight of this micro channel heat sink can be decreased, individually or simultaneously.

show abstract

A review on hybrid optimization algorithms to coalesce computational morphogenesis with interactive energy consumption forecasting

Cited by 23 publications

References 73 publications

Constructal Macroscale Thermodynamic Model of Spherical Urban Greenhouse Form with Double Thermal Envelope within Heat Currents

Constructal Macroscale Thermodynamic Model of Spherical Urban Greenhouse Form with Double Thermal Envelope within Heat Currents

Optimization of Secondary Surveillance Radar Data Processing

Optimization of the Micro Channel Heat Sink by Combing Genetic Algorithm with the Finite Element Method

Contact Info

Product

Resources

About