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Development / Components & Libraries / Libga 1.0
Libga 1.0
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Libga 1.0 Description
Libga is a fast binary genetic algorithm library written in Java. Library optimizes single objective functions using classical genetic operations such as crossing-over, mutation and selection.
Libga is a fast binary genetic algorithm library written in Java. Library optimizes single objective functions using classical genetic operations such as crossing-over, mutation and selection. Crossing-over type is optional, user can select one of one point crossover, two points cross over and uniform cross over options for different situations. Only tournament selection was included which has seen the best performance by some authors. (Have look Deb's book, Multi-Objective Optimization using Evolutionary Algorithms, Kalyanmoy Deb). The Chromosome class extends java.util.Bitset and Population class extends java.util.Arraylist classes. Algorithm is really fast, so one can use it in real valued problems using 31 bit encodings.
In libga, all of the optimization problems are maximization, so if the problem is a minimization problem, negative values of fitness functions can be used.
OS: Windows 7, WinXP, Windows Vista
Tags: Genetic Algorithm - Java Library - Function Optimization - Genetics - Algorithm - Optimization