Difference between revisions of "Evoptool: Evolutionary Optimization Tool"

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(Installation)
(Installation)
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<code>make exe</code>
 
<code>make exe</code>
  
Binary files will be copied in the <code>bin</code> directory in the root
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Binary files will be copied in the <code>bin</code> directory in the root as well as the <code>bin</code> directory of the <code>core</code> module
  
 
'''Required packages'''
 
'''Required packages'''

Revision as of 20:49, 21 October 2011

Evoptool Team

  • Cucci Davide - cucci [AT] elet.polimi.it

Formerly involved

  • Emanuele Corsano

Description

Evolutionary Optimization Tool (Evoptool) is an open source optimization tool, distributed under GNU General Public License, implementing meta-heuristics based on the Evolutionary Algorithms paradigm, that aims to provide a common platform for the development and test of new algorithms, in order to facilitate the performance comparison activity. Evoptool offers a wide set of benchmark problems, from classical toy samples to more complex tasks, and a collection of algorithm implementations from Genetic Algorithms and Estimation of Distribution Algorithms paradigms. Evoptool is flexible, easy to extend, also with algorithms based on other approaches other from EAs.

Mailing List

http://groups.google.com/group/evoptool

Download

svn checkout https://svn.ws.dei.polimi.it/evoptool/

Installation

Follow these steps in order to compile evoptool

1. Download source code from svn https://svn.ws.dei.polimi.it/evoptool/

User:
Password:

Refer to trunk for the lastest (instable) version of evoptool

2. First you need to manually compile the l1_logreg-0.8.2 package, http://www.stanford.edu/~boyd/l1_logreg/ whose source are already included in the evoptool repository. In order to do that follow the instrunctions in README.evoptool in the l1_logreg-0.8.2 directory

Next, compile <id_dist/code> following the instructions in <code>README.evoptool<code> in the <code><id_dist/code> folder

3. Then you need to compile a module at a time. Each module is included in a different folder. To compile a module, from go to the module source folder and do make lib. For instance, for the module named <code>common

cd common/src
make lib
cd ..

Compile modules in the following order

common
functions
ga
eda
stochastic

To clean a module, do

make clean

from the module source directory

4. Go to core module and type

make exe

Binary files will be copied in the bin directory in the root as well as the bin directory of the core module

Required packages

  • Libraries
  • Software
    • gnuplot

Running