Spatially-explicit forecasting of cyanobacteria assemblages in freshwater lakes by multi-objective hybrid evolutionary algorithms
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- 作者：Hongqing Caoa ; hongqing.cao@adelaide.edu.au" class="auth_mail" title="E-mail the corresponding author ; Friedrich Recknagela ; friedrich.recknagel@adelaide.edu.au" class="auth_mail" title="E-mail the corresponding author ; Michael Bartkowb ; michael.bartkow@seqwater.com.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Multi-objective optimization ; Genetic programming ; Hill climbing ; Multi-output rule models ; Cyanobacteria blooms
- 刊名：Ecological Modelling
- 出版年：2016
- 出版时间：24 December 2016
- 年：2016
- 卷：342
- 期：Complete
- 页码：97-112
- 全文大小：4492 K
文摘
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A new multi-objective hybrid evolutionary algorithm to forecast toxic cyanobacteria.
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Spacially-explicit forecasting of cyanobacteria assemblages in multiple sites/lakes.
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Highly understandable rules to indicate water conditions favoured by cyanobacteria.
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A decision tool for water managers to give early warning of cyanobacteria blooms.