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- W4366151951 abstract "This paper presents a new approach to solve the Nonlinear Multicommodity Network Flow Problem (NMNFP). We intend to use a multi-algorithm approach to resolve the Convex Multicommodity Network Flow Problem into Multicommodity Flow Quadratic Subproblems (MFQSPs) using the projected Jacobi approach. The proposed methodology combines the well-known Jacobi Method and innovative Dual Projected Pseudo-Quasi-Newton (DPPQN) approach to improve the computational efficiency of the DPPQN problem. A sparse-block-matrix methodology and finite iteration scale technique have been used in the comparative analysis of Frank-Wolfe with PARTAN and the DPPQN approach. We show the efficiency of the purpose algorithm with a numerical example." @default.
- W4366151951 created "2023-04-19" @default.
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- W4366151951 date "2022-12-01" @default.
- W4366151951 modified "2023-10-17" @default.
- W4366151951 title "Combinatorial Optimization of Non-linear Multicommodity Network Flow Using Pseudo Quasi-Newton Method" @default.
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- W4366151951 doi "https://doi.org/10.1109/iccmso58359.2022.00041" @default.
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