| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6964524 | Environmental Modelling & Software | 2013 | 9 Pages |
Abstract
⺠The study integrates a genetic algorithm with a multi-criteria evaluation based fuzzy inference system. ⺠The criteria for land evaluation are encoded into chromosomes of the GA. ⺠The subsets in chromosomes are used as basic units in crossover and mutation. ⺠The GA-optimized model calibrates the original evaluation criteria by self-learning from land samples. ⺠3 CV shows that the model is effective and robust.
Related Topics
Physical Sciences and Engineering
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Authors
Yaolin Liu, Limin Jiao, Yanfang Liu, Jianhua He,