DocumentCode :
2567540
Title :
Simulated Annealing with Iterative Improvement
Author :
Dirakkhunakon, Sipang ; Suansook, Yoothana
Author_Institution :
Sripatum Univ., Bangkok, Thailand
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
302
Lastpage :
306
Abstract :
In this paper, we have compare the results from the classical simulated annealing algorithm (SA) with iterative improvement simulated annealing algorithm (IISA) as initial solution. The benchmark test is performing on three different combinatorial optimization problem traveling salesman problem, N-queen problem and cell placement problem. The characteristic of the cost function of different problem instance are presented. The numerical results are show that the modified scheme provide better results than the classical algorithm.
Keywords :
iterative methods; simulated annealing; travelling salesman problems; N-queen problem; cell placement problem; cost function; iterative improvement; simulated annealing; traveling salesman problem; Computational modeling; Cooling; Cost function; Iterative algorithms; Processor scheduling; Scheduling algorithm; Signal processing algorithms; Simulated annealing; Temperature; Traveling salesman problems; Cell Placement Problem; Combinatorial Optimization; Simulated Annealing; Traveling Salesman Problem; component;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
Type :
conf
DOI :
10.1109/ICSPS.2009.61
Filename :
5166796
Link To Document :
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