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Abstract: In this paper we provide an introduction to genetic algorithms and how they are used to solve combinatorial optimization problems. We describe LibGA, a genetic algorithm development library. LibGA is used to solve three simple combinatorial optimization problems: bin packing, the traveling salesman problem, and multiprocessor scheduling. Sufficient details of LibGA are provided to enable the reader to easily use LibGA as a tool for solving additional combinatorial optimization problems. 1 (Update)
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BibTeX entry: (Update)
A.L. Corcoran and R.L. Wainwright. Using LibGA to develop genetic algorithms for solving combinatorial optimization problems. In Lance Chambers, editor, The Application Handbook of Genetic Algorithms, pages 143--172. CRC Press, 1995. http://citeseer.ist.psu.edu/corcoran95using.html More
@misc{ corcoran95using,
author = "A. Corcoran and R. Wainwright",
title = "Using LibGA to develop genetic algorithms for solving combinatorial optimization
problems",
text = "A.L. Corcoran and R.L. Wainwright. Using LibGA to develop genetic algorithms
for solving combinatorial optimization problems. In Lance Chambers, editor,
The Application Handbook of Genetic Algorithms, pages 143--172. CRC Press,
1995.",
year = "1995",
url = "citeseer.ist.psu.edu/corcoran95using.html" }
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