189933

Genetic Algorithms Application in Urban Morphology Generation

Article

Last updated: 04 Jan 2025

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Tags

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Abstract

Cities are described as living organisms. Cities have to change, transform and adapt to our daily life. Urban morphology is the most accurate definition to describe the changing process of cities, which occurred and will be occurred in our cities. The continuous changing process required a changeable generation system. The research introduces an Evolutionary design system (Genetic Algorithm) as the most suitable generation system dealing with this continuous changing process because it targets several design generations. Accordingly, the research aims to introduce and analysis several studies used genetic algorithm in urban Morphology application. Besides, reviewing the theoretical base of genetic algorithm and several computerized generation systems used in cities generation. This paper introduces fourteen highly cited studies to analyse the generation process and strategy. These studies will be compared to highlight the common and different aspects of the generation process. Finally, the research focuses on five studies to highlight the different applications of genetic algorithms in urban morphology generation.

DOI

10.21608/pserj.2021.87367.1129

Keywords

Genetic Algorithm, generation systems, Urban morphology, Optimization

Authors

First Name

mostafa

Last Name

elzeni

MiddleName

-

Affiliation

teaching assistant, Architecture and urban planning department, faculty of engineering, Port-said University

Email

mma.elzeni@eng.psu.edu.eg

City

41523

Orcid

0000-0002-4889-466X

First Name

ashraf

Last Name

elmokadem

MiddleName

-

Affiliation

Professor, Architecture and urban planning department faculty of engineering Portsaid university

Email

elmokadem1@gmail.com

City

cairo

Orcid

0000-0002-5751-5561

First Name

nancy

Last Name

badawy

MiddleName

mahmoud

Affiliation

Assistant professor, Architecture, and urban planning, faculty of engineering, portsaid university

Email

n.badawy@eng.psu.edu.eg

City

cairo

Orcid

0000-0001-9967-5670

Volume

26

Article Issue

1

Related Issue

32372

Issue Date

2022-03-01

Receive Date

2021-07-28

Publish Date

2022-03-01

Page Start

21

Page End

34

Print ISSN

1110-6603

Online ISSN

2536-9377

Link

https://pserj.journals.ekb.eg/article_189933.html

Detail API

https://pserj.journals.ekb.eg/service?article_code=189933

Order

3

Type

Original Article

Type Code

813

Publication Type

Journal

Publication Title

Port-Said Engineering Research Journal

Publication Link

https://pserj.journals.ekb.eg/

MainTitle

Genetic Algorithms Application in Urban Morphology Generation

Details

Type

Article

Created At

22 Jan 2023