DocumentCode :
2445231
Title :
Near optimal solutions to the grid connection problem
Author :
Vedantham, Sundararajan ; Das, Sanjoy ; Iyengar, S. Sitharama
Author_Institution :
Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
Volume :
7
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
4623
Abstract :
Stochastic optimization using simulated annealing has found wide applications in combinatorial optimization of NP-complete problems in recent years, especially in VLSI related problems. The grid connection problem is a combinatorial optimization problem that is proven to be NP-complete. In this paper the simulated annealing algorithm has been applied to the grid connection problem. The authors also propose an algorithm for the grid connection problem based on certain heuristics. Results of the authors´ simulations show that while both algorithms do yield good solutions, those of the simulated annealing are superior to those of the heuristic algorithm, with rare exceptions
Keywords :
combinatorial mathematics; computational complexity; simulated annealing; combinatorial optimization; grid connection problem; heuristic algorithm; near optimal solutions; simulated annealing; stochastic optimization; Application software; Computational modeling; Computer science; Heuristic algorithms; Joining processes; NP-complete problem; Routing; Simulated annealing; Stochastic processes; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.375021
Filename :
375021
Link To Document :
بازگشت