DocumentCode
3422010
Title
The improved genetic algorithm for solving knapsack problem based on Handel-C
Author
Yang, Yi ; Fang, Qian-sheng
Author_Institution
Sch. of Electron. & Inf. Eng., Anhui Univ. of Archit., Hefei, China
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
702
Lastpage
705
Abstract
Knapsack problem is applied broadly to practice in resource allocation, investment decision-making, storage allocation, loading problem and so on. The paper adopts Handel-C language to program for the simple and improved genetic algorithm that solve knapsack problem. The procedures of the two algorithms are provided in detail in the paper. The improved genetic algorithm enhances obviously global search ability and converging velocity through contrasting the experiment results of the two algorithms. Thus the effectiveness of the improved algorithm is demonstrated.
Keywords
C language; genetic algorithms; knapsack problems; Handel-C language; genetic algorithm; investment decision-making; knapsack problem; loading problem; resource allocation; storage allocation; Biological cells; Biological system modeling; Biology computing; Computational modeling; Computer languages; Decision making; Genetic algorithms; Hardware; Investments; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255033
Filename
5255033
Link To Document