SWMM5 EA - Revision history

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2012-12-07T13:25:48Z

How to Use

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 ==How to Use==
 [[file:swmm5ea1.png|thumb|Fig.~1: SWMM5-EA|400px]]
-Figure~1 shows the appearance of SWMM5 EA.
+Figure~1 shows the appearance of SWMM5 EA. The standard workflow is as follows:

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2012-12-07T13:03:33Z

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	===		==How to Use==
			[[file:swmm5ea1.png\|thumb\|Fig.~1: SWMM5-EA\|400px]]
			Figure~1 shows the appearance of SWMM5 EA.

Root: Created page with '===SWMM5-EA a tool for teaching evolutionary algorithms for water professionals=== ==Background== I have been teaching the application of Evolutionary Algorithms (EA) like Genet…'

2012-12-07T12:47:09Z

Created page with '===SWMM5-EA a tool for teaching evolutionary algorithms for water professionals=== ==Background== I have been teaching the application of Evolutionary Algorithms (EA) like Genet…'

New page

===SWMM5-EA a tool for teaching evolutionary algorithms for water professionals===

==Background==
I have been teaching the application of Evolutionary Algorithms (EA) like Genetic Algorithms (GA) since 2006 in two of my courses at [[UNESCO-IHE]] (Urban Drainage and Water Asset Management). I think there is a lot of truth in the quotation commonly attributed to [[wikipedia:Confucius|Confucius]] (551–479 BCE): "What I hear I forget, what I see I remember, what I do I understand.". I try to apply this in teaching as much as possible -- let the learners do something and learn.

For many of my needs I found excellent tools on the net: For example, I use [http://orange.biolab.si/ orange] to teach elementary datamining techniques and use [http://www.ra.cs.uni-tuebingen.de/software/JavaNNS/welcome_e.html JavaNNS) to teach [[wikipedia:Artificial Neural Networks|Artificial Neural Networks]]. But I could not find an acceptable tool to use in my teaching of GA. Once I wrote a [[wikipedia:console application|console application]] using C langauge to try to do this. But, modern day students are not often comfortable with working with an application that needs opening a [[wikipedia:command prompt|command prompt]] to use.

Finally I thought of biting the bullet and write one myself. That is SWMM5-EA.

==What it does==
SWMM5 EA is a simple application to demonstrate how genetic algorithms can be used to solve optimization problems in the field of urban drainage. Typical problems it can solve include:
* Find the optimal pipe/channel sizes for a drainage network to handle a flow of a given magnitude.
* Sizing of [[wikipedia:SuDS|SuDS]] systems for the same purpose.
* Cost-benefit optimization of interventions.

===Limitations===
SWMM5 EA is a teaching tool. It has several limitations, by design.
* The drainage model is only 1-D, there's no inundation (2-D) model. (Things need to be kept simple)
* At the moment it is not designed to do whole-life cost optimization.
* At the moment no multi-objective optimization stuff.

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