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

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

This paper presents an advanced method in urban growth modeling to discover transition rules of cellular automata (CA) using the artificial bee colony (ABC) optimization algorithm. Also, comparisons between the simulation results of CA models optimized by the ABC algorithm and the particle swarm opt...

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Bibliographic Details
Main Authors: Fereydoun Naghibi, Mahmoud Reza Delavar
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:ISPRS International Journal of Geo-Information
Subjects:
land use change detection
urban growth model
cellular automata
artificial bee colony
Online Access:http://www.mdpi.com/2220-9964/5/12/241

Internet

http://www.mdpi.com/2220-9964/5/12/241

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