Predicting Vertical Urban Growth Using Genetic Evolutionary Algorithms in Tokyo’s Minato Ward-Reference-Cited by-同舟云学术

Predicting Vertical Urban Growth Using Genetic Evolutionary Algorithms in Tokyo’s Minato Ward

Published:2018-03 Issue:1 Volume:144 Page:04017024
ISSN:0733-9488
Container-title:Journal of Urban Planning and Development
language:en
Short-container-title:J. Urban Plann. Dev.

Author:

Pazos Perez Rafael Ivan¹,Carballal Adrian²,Rabuñal Juan R.³,Mures Omar A.⁴,García-Vidaurrázaga María D.⁵

Affiliation:

1. Senior Architect, Nihon Sekkei, Inc., Mitsui Bldg., 2-1-1 Nishi-Shinjuku, Tokyo 163-0430, Japan (corresponding author).

2. Associate Professor, Faculty of Computer Science, Dept. of Information and Communications Technologies, Univ. of A Coruña, 15071 A Coruña, Spain.

3. Associate Professor, Centre of Technological Innovation in Construction and Civil Engineering, Univ. of A Coruña, 15071 A Coruña, Spain.

4. Ph.D. Candidate, Faculty of Computer Science, Dept. of Information and Communications Technologies, Univ. of A Coruña, 15071 A Coruña, Spain.

5. Associate Professor, Dept. of Construction Technology, Univ. College of Technical Architecture, Univ. of A Coruña, 15071 A Coruña, Spain.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Urban Studies,Development,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29UP.1943-5444.0000413

Reference41 articles.

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3. Baker J. (1987). “Reducing bias and inefficiency in the selection algorithm.” Proc. 2nd Int. Conf. on Genetic Algorithms and Their Application L. Erlbaum Associates Hillsdale NJ 14–21.

4. Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore

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