A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths
(2014)
Journal Article
Zhang, X., Wang, Q., Adamatzky, A., Chan, F. T., Mahadevan, S., & Deng, Y. (2014). A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths. Journal of Optimization Theory and Applications, 163(3), 1049-1056. https://doi.org/10.1007/s10957-014-0542-6
© 2014, Springer Science+Business Media New York. The shortest path problem is among fundamental problems of network optimization. Majority of the optimization algorithms assume that weights of data graph’s edges are pre-determined real numbers. Howe... Read More about A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths.