This paper presents an efficient genetic algorithm for solving multiobjective transportation problem, assignment, and transshipment Problems. The proposed approach integrates the merits of both ...

The final outcome is the combination of implementing Kruskal's MST algorithm multiple times with different datasets. There are a total of 74 stations divided into 9 color lines The purpose is to ...

This project began as a personal exploration into the intricate world of algorithms, specifically tailored for efficient embedded IoT solutions. In the age of interconnected devices and systems, the ...

Abstract: How to allocate fuzzy transportation costs that has same ranking value on Fuzzy Transportation Algorithm in solving the problem of Full Fuzzy Transportation is to arbitrarily chosen for ...

ABSTRACT: Industries require planning in transporting their products from production centres to the users end with minimal transporting cost to maximize profit. This process is known as Transportation ...

The transportation and the assignment problems have both been frequently investigated in the field of operations research. For a couple of decades, it has been proven that no greedy algorithm can ...

The traditional A* algorithm suffers from issues such as sharp turning points in the path, weak directional guidance during the search, and a large number of computed nodes. To address these problems, ...