Evolutionary Computation for the Development of Smart Floating Cities
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017066" target="_blank" >RIV/62690094:18450/20:50017066 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/ICIT45562.2020.9067105" target="_blank" >http://dx.doi.org/10.1109/ICIT45562.2020.9067105</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICIT45562.2020.9067105" target="_blank" >10.1109/ICIT45562.2020.9067105</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Evolutionary Computation for the Development of Smart Floating Cities
Popis výsledku v původním jazyce
Prior to the emergence of both terms "smart city" and "floating cities", the human population has already increased and land scarcity has begun to be grasped by the humanity across the world. Therefore, as a first challenge, the concept of smart city has been extended to the scientific era as a novel solution by researchers. Thereafter, the floating city concept has been introduced in the literature by a couple of scientists in order to make provision against rising sea levels. On the other hand, designing a city is known as a complex design problem among engineers, architects and designers, thus evolutionary algorithms could be used to solve this complicated problem by optimizing inhabitants' demands. We, in this research, compare the results of two different evolutionary algorithms namely as Self-adaptive Differential Evolution (DE) and Self Adaptive Continuous Genetic Algorithm with Differential Evolution (DE) by optimizing two conflicted objective functions visual comfort and accessibility between the nodes in the proposed smart floating city.
Název v anglickém jazyce
Evolutionary Computation for the Development of Smart Floating Cities
Popis výsledku anglicky
Prior to the emergence of both terms "smart city" and "floating cities", the human population has already increased and land scarcity has begun to be grasped by the humanity across the world. Therefore, as a first challenge, the concept of smart city has been extended to the scientific era as a novel solution by researchers. Thereafter, the floating city concept has been introduced in the literature by a couple of scientists in order to make provision against rising sea levels. On the other hand, designing a city is known as a complex design problem among engineers, architects and designers, thus evolutionary algorithms could be used to solve this complicated problem by optimizing inhabitants' demands. We, in this research, compare the results of two different evolutionary algorithms namely as Self-adaptive Differential Evolution (DE) and Self Adaptive Continuous Genetic Algorithm with Differential Evolution (DE) by optimizing two conflicted objective functions visual comfort and accessibility between the nodes in the proposed smart floating city.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2020 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT)
ISBN
978-1-72815-754-2
ISSN
2643-2978
e-ISSN
—
Počet stran výsledku
7
Strana od-do
822-828
Název nakladatele
IEEE
Místo vydání
NEW YORK
Místo konání akce
Buenos Aires
Datum konání akce
26. 2. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000560681600125