Theoretical insights into the augmented-neural-network approach for combinatorial optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
http://link.springer.com/content/pdf/10.1007/s10479-008-0364-8.pdf
Reference27 articles.
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3. Birbil, S. I., & Fang, S. C. (2003). An electromagnetism-like mechanism for global optimization. Journal of Global Optimization, 25(3), 263–282.
4. Cheng, R. W., & Gen, M. (1997). Parallel machine scheduling problems using memetic algorithms. Computers & Industrial Engineering, 33(3–4), 761–764.
5. Chu, P., & Beasley, J. (1998). A genetic algorithm for the multidimensional knapsack problem. Journal of Heuristics, 4(1), 63–86.
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