Discovery of Transition Rules for Cellular Automata Using Artificial Bee Colony and Particle Swarm Optimization Algorithms in Urban Growth Modeling

Author： Naghibi Fereydoun Delavar Mahmoud Reza

Publisher： MDPI

E-ISSN： 2220-9964|5|12|241-241

ISSN： 2220-9964

Source： ISPRS International Journal of Geo-Information, Vol.5, Iss.12, 2016-12, pp. : 241-241

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Simulating Urban Growth Using a Random Forest-Cellular Automata (RF-CA) Model

By Kamusoko Courage Gamba Jonah

ISPRS International Journal of Geo-Information, Vol. 4, Iss. 2, 2015-04 ,pp. : 447-470

MDPI

Access to resources Recommend Favorite

3-Dimensional Modeling and Simulation of the Cloud Based on Cellular Automata and Particle System

By Bi Shuoben Bi Shengjie Zeng Xiaowen Lu Yuan Zhou Hao

ISPRS International Journal of Geo-Information, Vol. 5, Iss. 6, 2016-06 ,pp. : 86-86

MDPI

Access to resources Recommend Favorite

A Knowledge-Informed and Pareto-Based Artificial Bee Colony Optimization Algorithm for Multi-Objective Land-Use Allocation

By Yang Lina Zhu Axing Shao Jing Chi Tianhe

ISPRS International Journal of Geo-Information, Vol. 7, Iss. 2, 2018-02 ,pp. : 63-63

MDPI

Access to resources Recommend Favorite

Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment

By Feng Yongjiu Liu Miaolong Chen Lijun Liu Yu

ISPRS International Journal of Geo-Information, Vol. 5, Iss. 12, 2016-12 ,pp. : 243-243

MDPI

Access to resources Recommend Favorite

Modeling Urban Land Cover Growth Dynamics Using Multi‑Temporal Satellite Images: A Case Study of Dhaka, Bangladesh

By Ahmed Bayes Ahmed Raquib

ISPRS International Journal of Geo-Information, Vol. 1, Iss. 1, 2012-02 ,pp. : 3-31

MDPI

Access to resources Recommend Favorite