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

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

Land-use allocation is of great significance in urban development. This type of allocation is usually considered to be a complex multi-objective spatial optimization problem, whose optimized result is a set of Pareto-optimal solutions (Pareto front) reflecting different tradeoffs in several objectiv...

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Bibliographic Details
Main Authors: Lina Yang, Axing Zhu, Jing Shao, Tianhe Chi
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
land-use allocation
multi-objective
spatial optimization
Pareto
artificial bee colony algorithm
Online Access:http://www.mdpi.com/2220-9964/7/2/63

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