DocumentCode
526909
Title
A novel method for solving knapsack problem base on Hybrid Genetic Algorithm
Author
Wng Jianliang ; Sun Qiuyun ; Jia Haipeng
Author_Institution
Dept. of Manage. & Inf., Shandong Jiaotong Vocational Coll., Weifang, China
Volume
1
fYear
2010
fDate
10-11 July 2010
Firstpage
34
Lastpage
36
Abstract
Knapsack problem is a typical computer algorithm of NP complete (Nondeterministic Polynomial Completeness) problem. The research of solving this problem has great significance not only in theory, but also in application, for example, resource management, investment decisions and so on. For solving this problem, scholars have developed a number of algorithms, however, they are all have some drawbacks. This paper represents a greedy Genetic Algorithm based on Hybrid Algorithm through the study of Genetic Algorithm and Hybrid Algorithm to solve the knapsack problem, and also demonstrate its feasibility and effectiveness throng an example.
Keywords
computational complexity; genetic algorithms; greedy algorithms; knapsack problems; NP complete; genetic algorithm; greedy algorithm; hybrid algorithm; knapsack problem; nondeterministic polynomial completeness; Algorithm design and analysis; Educational institutions; Sun; Genetic Algorithm; Hybrid Algorithm; genetic operator;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7860-6
Type
conf
DOI
10.1109/INDUSIS.2010.5565919
Filename
5565919
Link To Document