Jozef Kratica
Dušan Tošić
Genetic Algorithms (GAs) are inspired mainly from nature and became robust and effective methods for solving combinatorial and global optimization problems. In this paper the basic principles of GAs are presented. Also, the important parts of a GA implementation and its effectiveness illustrated by results on several real-life problems is described. This implementation includes several new methods for the improving of previous genetic algorithm implementation.
Keywords: Genetic algorithms, caching GA, location problems, biconnectivity augmentation, network design.
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