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- W4296982012 abstract "The transportation problem is generally intended to minimize the transportation cost while distributing products from sources to destinations. When there is urgent need, like in pandemic situation, of delivery of products to destinations, the time minimization transportation problem is indispensable. In such urgent situations, there may certain destinations whose demands need to be satisfied earlier than the others. This situation is dealt by prioritizing the destinations to minimize the transportation time. This article proposes two new algorithms to be blended within a particle swarm optimization algorithm for solving priority-based time minimization transportation problem. Being a metaheuristic method, PSO has empowered with exploration-exploitation trade-off expertise and converging competence leading toward global optima. The proposed method is examined over different test problems, and it performed well with respect to its efficiency and efficacy. Some statistical measures like mean and standard deviation are also calculated to evaluate the proposed method." @default.
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- W4296982012 date "2022-09-25" @default.
- W4296982012 modified "2023-09-27" @default.
- W4296982012 title "Extension of Particle Swarm Optimization Algorithm for Solving Priority-Based Time Minimization Transportation Problem" @default.
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- W4296982012 doi "https://doi.org/10.1007/978-981-19-3938-9_45" @default.
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