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
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;
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
DOI :
10.1109/GRC.2009.5255033