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Image Registration of Printed Circuit Boards using Hybrid Genetic Algorithm

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3 Author(s)
Mashohor, S. ; Univ. of Edinburgh, Edinburgh ; Evans, J.R. ; Arslan, T.

In this paper, hybridization of hill-climbing (HC) and elitism (E) with a specially tailored genetic algorithm (GA) for image registration of printed circuit boards (PCBs) placed arbitrarily on a conveyor belt during inspection is proposed to maximize the robustness of the existing framework. These hybrid methods are investigated individually and in combination for accuracy, reliability and performance. Experimental results highlight the potential of the hybrid GA (HGA) that consists of all methods in combination because of the most accurate findings and significantly more reliable than GA alone. However, there is a compensation on performance, though it converges efficiently in terms of number of generations.

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Evolutionary Computation, 2006. CEC 2006. IEEE Congress on

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