An Efficient, Scalable, and Robust Neuro-Processor-Based Concept for Solving Single-Cycle Traveling Salesman Problems in Complex and Dynamically Reconfigurable Graph Networks

An Efficient, Scalable, and Robust Neuro-Processor-Based Concept for Solving Single-Cycle Traveling Salesman Problems in Complex and Dynamically Reconfigurable Graph Networks

We develop, for the first time, and validate through some illustrative examples a new neuro-processor based concept for solving (single-vehicle) traveling salesman problems (TSP) in complex and dynamically reconfigurable graph networks. Compared to existing/competing methods for solving TSP, the new...

Full description

Bibliographic Details
Main Authors: Jean Chamberlain Chedjou, Kyandoghere Kyamakya, Nkiediel Alain Akwir
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Basic differential multiplier method
bifurcation analysis
constrained optimization
convergence to a single-cycle TSP tour/solution
dynamically externally reconfigurable TSP
local stability
Online Access:https://ieeexplore.ieee.org/document/8995468/

Internet

https://ieeexplore.ieee.org/document/8995468/

Similar Items