jnsga2-1.1-src

所属分类:数值算法/人工智能
开发工具:Java
文件大小:55KB
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说明:  粒子群多目标优化,遗传多目标,作者jmetal,我想下载粒子群多目标啊,为什么非要打这么多字啊,难受啊.......................................
(Particle group multi-objective optimization, genetic multi-objective, author jmetal, I want to download particle group multi-objective ah, why do I have to hit so many words, ah, uncomfortable ah .................... ......................)

文件列表:
license-LGPL.txt (26940, 2006-11-27)
src (0, 2006-11-20)
src\.svn (0, 2007-09-11)
src\.svn\prop-base (0, 2006-11-20)
src\.svn\props (0, 2006-11-20)
src\.svn\text-base (0, 2006-11-20)
src\.svn\tmp (0, 2007-09-10)
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src\.svn\tmp\wcprops (0, 2006-11-20)
src\.svn\wcprops (0, 2006-11-20)
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******************************* * JNSGA2: Version 1.1 * ******************************* 11 September 2007 (C)opyright 2006-2007, by Joachim Melcher, Institut AIFB, Universitaet Karlsruhe (TH), Germany e-mail: melcher@users.sourceforge.net ----------------- 1. INTRODUCTION ----------------- JNSGA2 is a free library for the Java platform with an abstract implementation of the NSGA-II multi-objective genetic algorithm published in (Deb et al. 2002). It runs on the Java 5 Platform (JDK 1.5 or later). JNSGA2 is licensed under the terms of the GNU Lesser General Public Licence (LGPL) version 2.1 (or any later version). A copy of the licence is included in the distribution. This ZIP file contains the library's source code. If you only want to use the library in your own project without any modifications, you can download the file jnsga2-1.1-bin.zip containing the library's runtime JAR file from the project's SourceForge page. Please note that JNSGA2 is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Please refer to the licence for details. (Deb et al. 2002) DEB, Kalyanmoy ; PRATAP, Amrit ; AGARWAL, Sameer A. ; MEYARIVAN, T.: "A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II". In: IEEE Transactions on Evolutionary Computation, vol. 6, no. 2, April 2002, pp. 182-197. ------------------- 2. LATEST VERSION ------------------- The latest version of this class library can be obtained from http://sourceforge.net/projects/jnsga2/ If you have any comments, suggestions or bugs to report, please post a message on this site. ------------------------------ 3. FURTHER PROJECT RESOURCES ------------------------------ You can download the library's runtime JAR file, its Javadoc API documentation, further documentation and a small demo application using the JNSGA2 library from the project page on SourceForge. ----------------- 4. DEPENDENCIES ----------------- JNSGA2 has the following dependencies: (a) JDK 1.5 or higher - JNSGA2 uses generics which is offered by Java starting with this version. (b) JUnit - a unit testing framework. JUnit is licensed under the terms of the Common Public License. The JUnit runtime JAR file is not part of this distribution because it is not necessary for just using the JNSGA2 library. You only need it if you want to run the JUnit tests included in source code form in this distribution. You can find out more about JUnit and/or download the latest version from http://www.junit.org The JUnit tests included with JNSGA2 have been created using JUnit 3.8.1. (c) JUnit-addons - version 1.4 or later. JUnit-addons adds some additional features to the JUnit testing framework. JUnit-addons is licensed under the terms of the JUnit-addons Software License, a license based on the Apache Software License. The JUnit-addons runtime JAR file is not part of this distribution because it is not necessary for just using the JNSGA2 library. You only need it if you want to run the JUnit tests included in source code form in this distribution. You can find out more about JUnit-addons and/or download the latest version from http://sourceforge.net/projects/junit-addons/ --------------- 5. HISTORY --------------- A list of changes in recent versions: 1.0 : (27-Nov-2006) - first version released 1.1 : (11-Sep-2007) - Individual: method 'dominates': special cases for individuals with fitness value 'NaN' (not a number) - NSGA2: method 'crowdingDistanceAssignment': special case for equal minimal and maximal fitness values - test cases adjusted

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