Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...
Fuzzy optimization for shortest path problems addresses uncertainty in network weights by representing arc costs with fuzzy numbers rather than crisp values. By extending classical algorithms—such as ...
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