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- W2155116968 abstract "The quadratic assignment problem (QAP) is one of the nondeterministic polynomial (NP)-hard combinatorial optimization problems. One of the heuristic algorithms for the QAP is the tabu-search. The exponential tabu-search has been implemented on a neural network, and further it has been extended to be driven by chaotic dynamics based on a chaotic neural network for efficient search. Moreover, chaotic dynamics has also been exploited to avoid the local minima problem. We propose a chaos driven tabu-search neural network hardware system with switched-current chaotic neuron ICs. We build a mixed analog/digital system for the size-10 QAP." @default.
- W2155116968 created "2016-06-24" @default.
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- W2155116968 date "2005-01-31" @default.
- W2155116968 modified "2023-09-27" @default.
- W2155116968 title "Exponential chaotic tabu search hardware for quadratic assignment problems using switched-current chaotic neuron IC" @default.
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- W2155116968 doi "https://doi.org/10.1109/ijcnn.2004.1380965" @default.
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