Multi-objective optimization at the conceptual design phase of an office room through evolutionary Computation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014703" target="_blank" >RIV/62690094:18450/18:50014703 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-319-92058-0_65" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-92058-0_65</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-92058-0_65" target="_blank" >10.1007/978-3-319-92058-0_65</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-objective optimization at the conceptual design phase of an office room through evolutionary Computation

Popis výsledku v původním jazyce

An implementation of multi-objective optimization for design of an office room is presented through maximizing illuminance value and minimizing cooling energy consumption on a summer extreme day in a Mediterranean hot climate region. Existing literature shows different examples of multi-objective optimization problems in the field of performance-based building design. Principally, performance criteria such as energy and daylight should be integrated in the early stage of the conceptual design phase to provide energy-efficient solutions in buildings. Since most of the architectural design problems are difficult to solve, multi-objective optimization methods provide many design solutions to the decision makers. We used Non-Dominated Sorting Genetic Algorithm II namely NSGA-II to present many design alternatives by satisfying two conflicting objectives at the same time in the presented office room problem.

Název v anglickém jazyce

Multi-objective optimization at the conceptual design phase of an office room through evolutionary Computation

Popis výsledku anglicky

An implementation of multi-objective optimization for design of an office room is presented through maximizing illuminance value and minimizing cooling energy consumption on a summer extreme day in a Mediterranean hot climate region. Existing literature shows different examples of multi-objective optimization problems in the field of performance-based building design. Principally, performance criteria such as energy and daylight should be integrated in the early stage of the conceptual design phase to provide energy-efficient solutions in buildings. Since most of the architectural design problems are difficult to solve, multi-objective optimization methods provide many design solutions to the decision makers. We used Non-Dominated Sorting Genetic Algorithm II namely NSGA-II to present many design alternatives by satisfying two conflicting objectives at the same time in the presented office room problem.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture notes in computer science

ISBN

978-3-319-92057-3

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

679-684

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Montreal

Datum konání akce

25. 6. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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