Title :
Theoretical comparison of mappings of combinatorial optimization problems to Hopfield networks
Author :
Matsuda, Satoshi
Author_Institution :
Comput. & Commun. Res. Center, Tokyo Electr. Power Co. Inc., Japan
Abstract :
In solving combinatorial optimization problems by Hopfield networks, mappings of the problems to the networks are not made so carefully. Though many mappings of, for example, the traveling salesman problems (TSP) have been proposed, their theoretical comparisons are not made yet. In this paper, taking two typical mappings of TSP as examples, their theoretical comparisons are made to prove one´s superiority to the other by the asymptotical stability and unstability conditions of the solutions previously shown by the author (1994). This theoretical comparison could be applicable to mappings of many other combinatorial optimization problems
Keywords :
Hopfield neural nets; combinatorial mathematics; convergence; optimisation; Hopfield networks; TSP; asymptotical instability conditions; asymptotical stability conditions; combinatorial optimization; traveling salesman problems; Asymptotic stability; Cities and towns; Constraint optimization; Coordinate measuring machines; Erbium; Hypercubes; Neurons; Traveling salesman problems;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488870