Metadata-Version: 1.1
Name: SWMM5_EA
Version: 0.8.4.0
Summary: SWMM5-EA
Home-page: http://assela.pathirana.net/SWMM5_EA
Author: Assela Pathirana
Author-email: assela@pathirana.net
License: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Download-URL: http://swmm5-ea.googlecode.com/files/SWMM5_EA-0.8.4.0.zip
Description: Optimizing Urban Drainage Networks 
        with EPA-SWMM 5.0 and Evolutionary Methods"
        
        -------------------------------------
        
        Python 2.7 version. 
        
        
        --------
        README.txt
        -------
        SWMM5 EA by Assela Pathirana
        ----------------------------
        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 SuDS systems for the same purpose. Cost-benefit optimization of interventions.
        
        Dependancies:
        -------------
        SWMM5 EA has been tested only on python 2.7 (2.7.3). I noticed that python 2.7.2 multiprocessing module has a bug. If you use 2.7.2, either upgrade to 2.7.3 or use the program with  num_cpus (Number of CPUs in the Graphical interface) set to 1. 
        SWMM5 EA has following dependancies. 
        guidata>=1.5.1
        guiqwt>=2.2.1
        inspyred>=1.0
        numpy>=1.6.2
        PyQT>=4.8.1 
        yaml>=3.10
        sip>=4.11.2 
        swmm5>=0.3
        diff_match_patch>=20121119
        
        Installation: 
        -------------
        The package can be installed in variety of ways. 
        In Linux: 
        a) Source distribution: SWMM5_EA-X.Y.Z.K.zip -- can be installed to the python tree with 'python setup.py install'
        b) Sources:  SWMM5_EA-X.Y.Z.K.tar.gz -- includes the whole development material in addition to the distribution
        c) or chcekout the project (same as b, but could be the latest version.) hg clone https://code.google.com/p/swmm5-ea/ (need Mercurial)
        In Windows:
        a) Install as a stand-alone software: Use the installer SWMM5_EA-X.Y.Z.K.exe
        b) Install as a python package: Use SWMM5_EA-X.Y.Z.K.win32.exe
        c) Source distribution: SWMM5_EA-X.Y.Z.K.zip -- can be installed to the python tree with 'python setup.py install'
        d) Sources:  SWMM5_EA-X.Y.Z.K.tar.gz -- includes the whole development material in addition to the distribution
        e) or chcekout the project (same as d, but could be the latest version.) hg clone https://code.google.com/p/swmm5-ea/ (need Mercurial)
        
        Usage:
        -----
        If you installed swmm5ea as a stand-alone program (windows) use the start menu. 
        If installed as a python package you can:
        1. Double click on swmm_ea_controller.py (in Python27\Lib\site-packages\swmm5ea directory for windows)
        2. Use within python as follows:
        >>> from swmm5ea import swmm_ea_controller
        >>> sc=swmm_ea_controller.swmmeacontroller()
        >>> sc.show()
        
        
        
        
        
Keywords: EPA-SWMM,GA,Urban Drainage
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Development Status :: 4 - Beta
Classifier: Natural Language :: English
