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What is FPGA-Based Compact Genetic Algorithm Design about?

This document describes a compact genetic algorithm (cGA) implemented on an FPGA with minimal resources. The cGA represents populations as probability vectors which are iteratively updated based on selection and crossover. The authors present a modular VHDL design for the cGA that uses basic synchronized components like a random number generator, individual generator, fitness evaluator, and probability vector updater. This efficient hardware implementation of the cGA on an FPGA aims to solve complex optimiz

Author

alejandro-leon-2176

Language

EN