Abstract
A hardware description of Genetic Algorithms is presented to handle optimization problems. Genetic Algorithm Processor (GAP) is a reliable and fast processor for emulating genetic algorithms in hardware. Following that the multiple genetic algorithm processor configurations have been described based on the GAP. The simulation results show that multiple genetic algorithm processor configurations work better than single configuration with lesser complexity. It is possible to apply multiple configurations to more complex problems.
The work was done by the author when he was a Ph.D. student in the Electrical Engineering Department — Victoria University of Technology — Melbourne — Australia
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© 1997 Springer-Verlag Berlin Heidelberg
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Salami, M. (1997). Multiple genetic algorithm processor for hardware optimization. In: Higuchi, T., Iwata, M., Liu, W. (eds) Evolvable Systems: From Biology to Hardware. ICES 1996. Lecture Notes in Computer Science, vol 1259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63173-9_51
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DOI: https://doi.org/10.1007/3-540-63173-9_51
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