Abstract
An approach to combine a genetic algorithm with traditional linear programming based branch and bound for integer programming is described in this paper. Branch and bound provides a systematic search procedure for pure integer programming problems and a genetic approach offers the possibility of rapid movement towards a useful solution. Hence the two approaches look worthy of combination as a way to solve certain {0,1} integer programming problems. The approach has been tested out on satisfiability problems and computational results look promising in certain aspects of speed and solution quality.
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© 1998 Springer-Verlag Wien
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French, A.P., Robinson, A.C., Wilson, J.M. (1998). A Hybrid Genetic / Branch and Bound Algorithm for Integer Programming. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_52
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DOI: https://doi.org/10.1007/978-3-7091-6492-1_52
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83087-1
Online ISBN: 978-3-7091-6492-1
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