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Titel: Implementation of Genetic Algorithms in FPGA-based Systems: Approaches in a high-level language
Verlag: VDM Verlag Dr. M�ller
Erscheinungsjahr: 2009
Sprache: Englisch
ISBN-10: 3639209958
ISBN-13: 9783639209952
Einband: Softcover
Zustand: Like New

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Genetic Algorithms (GAs) are used to solve many optimization problems in science and engineering. GA is a heuristics approach which relies largely on random numbers to determine the approximate solution of an optimization problem. We use the Mersenne Twister Algorithm (MTA) to generate a non-overlapping sequence of random numbers. The random numbers are generated from a state vector that consists of 624 elements. Our work on state vector generation and the GA implementation targets the solution of a flow-line scheduling problem where the flow-lines have jobs to process and the goal is to find a suitable completion time for all the jobs using a GA. To the best of our knowledge, all the FPGA implementations of GA use HDL. Our approach uses High-Level Language (HLL) to implement a GA in FPGA-based reconfigurable computing system, analyzes the performance and limitations of our design and suggests solution for future improvements.

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