Abstract
Based on FPTA-2, an adaptive binary particle swarm optimization (ABPSO) is proposed to overcome the shortcomings of binary particle swarm optimization (BPSO). Two circuits, an amplifier and an integrator, are evolved to compare ABPSO with genetic algorithm (GA) and Hereboy. Simulation results show ABPSO is a simple and powerful algorithm, well suited for evolvable hardware. It not only has satisfying precision, but also can find better solutions at a greater probability.
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