Incorporating heuristic information into genetic search
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Toward a unified thermodynamic genetic operator
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
A Novel Low-Cost Approach to MCM Interconnect Test
Proceedings of the IEEE International Test Conference on Driving Down the Cost of Test
The traveling salesman: computational solutions for TSP applications
The traveling salesman: computational solutions for TSP applications
IEEE Transactions on Neural Networks
Combinatorial optimization with use of guided evolutionary simulated annealing
IEEE Transactions on Neural Networks
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In this paper we propose an efficient algorithm forscheduling a flying test probe for unpopulated multi-chipmodule (MCM) substrates. Our objective is to reduce thetotal time of MCM substrate testing by optimizing the travelingpath of the probe. This paper first describes twoalgorithms: Lin-Kernighan (LK) and Simulated Annealing(SA). We then discuss our proposed algorithm which is thecombination of SA and LK to optimize scheduling of theflying test probe. The algorithm is based on the single-endedprobe testing method. We applied the algorithms toa real MCM substrate and obtained satisfactory low-costresults.