Newsgroups: comp.ai.genetic
Path: cantaloupe.srv.cs.cmu.edu!rochester!udel!news.sprintlink.net!cs.utexas.edu!swrinde!elroy.jpl.nasa.gov!usc!nic-nac.CSU.net!csulb.edu!info.ucla.edu!news.bc.net!unixg.ubc.ca!vanbc.wimsey.com!scipio.cyberstore.ca!skypoint.com!umn.edu!news
From: "James Albert Larson" <larso171@maroon.tc.umn.edu>
Subject: Re: Request: Genetic Algorithm
To: mgwatu@aix1.uottawa.ca
Message-ID: <21963.larso171@maroon.tc.umn.edu>
X-Minuet-Version: Minuet1.0_Beta_16
Sender: news@news.cis.umn.edu (Usenet News Administration)
Nntp-Posting-Host: dialup-1-47.gw.umn.edu
X-Popmail-Charset: English
Organization: University of Minnesota, Twin Cities
Date: Wed, 24 May 1995 07:36:44 GMT
Lines: 21

On 19 May 1995 00:35:36 GMT, 
mgwatu@aix1.uottawa.ca  <mgwatu@aix1.uottawa.ca> wrote:
>
>I have a nonlinear optimization problem which has nonlinear objective 
>function and several nonlinear consntraints. I want to solve it 
>using Genetic Algorithm. I don't have any idea about Genetic 
>Algorithm, so I need some help.

Zbigniew Michalewicz's "Genetic Algorithms + Data Structures = Evolution 
Programs" book (1994) has a lot on using GA to solve optimization problems 
involving nonlinear objective functions with linear and nonlinear 
constraints.  This book describes Genocop and Genocop II, two GA programs 
that handle linear and nonlinear constraints respectively. (Both handle 
nonlinear objective functions).  (Decision variables must be real, i.e. 
can't be integer).

I'm real familiar with Genocop, but haven't yet looked at Genocop II (both 
available at ftp.uncc.edu directory coe/evol).

Jim Larson

