G. Schütz *
F. M. Pires †
* Escola Superior de Tecnologia, Universidade do Algarve
† Faculdade de Ciências e Tecnologia, Universidade do Algarve
Abstract
In this work we present an algorithm to the unrestricted binary quadratic program. This approach combines genetic operators with greedy and heuristic procedures. We started from a genetic based algorithm and replaced the random mutation by a greedy procedure based on each variable contribution to the objective function. We also introduced in the genetic population an individual obtained by a heuristic that finds a local star minimum point. Computational experience with a set of test-problems, known from literature, is reported and analysed. Our results are quite promising.
Keywords: Quadratic 0-1 programming, Genetic Algorithms, Hybrid Algorithms
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