Abstract
Combinatorial optimization is an archaic problem that brings people puzzles until now. This kind of problems are, given the restricted conditions, to consider all risk synthetically, and find the variable that makes the objective function greatest or least. Graph Theory is always used as the mathematical basis for solving this problem. More and more people devote themselves into this area, including many famous genius and amateurs. A classical example is the seven bridges problem [1].
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© 2010 Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg
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Ma, Y., Zhan, K., Wang, Z. (2010). Combinatorial Optimization. In: Applications of Pulse-Coupled Neural Networks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13745-7_8
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DOI: https://doi.org/10.1007/978-3-642-13745-7_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13744-0
Online ISBN: 978-3-642-13745-7
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