Genetic Algorithms for Solving Shortest Path Problem in Maze-Type Network with Precedence Constraints
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s11277-018-5740-3.pdf
Reference26 articles.
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3. Kim, J. W., & Kim, S. K. (2016). Fitness switching genetic algorithm for solving combinatorial optimization problems with rare feasible solutions. Journal of Supercomputing, 72(9), 3549–3571.
4. Zhang, L., Li, J., Yang, S., & Wang, B. (2017). Privacy preserving in cloud environment for obstructed shortest path query. Wireless Personal Communications, 96(2), 2305–2322.
5. Ahuja, R. K., Mehlhorn, K., Orlin, J., & Tarjan, R. E. (1990). Faster algorithms for the shortest path problem. Journal of the ACM, 37(2), 213–223.
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