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
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;
Conference_Titel :
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7860-6
DOI :
10.1109/INDUSIS.2010.5565919