The Optimization Estimation of the Yield Per Area Based on Intelligent Computing

Author

Deng, Chang-jian

Author_Institution

Dept. of Control Eng., Chengdu Univ. of Inf. Technol., Chengdu

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

4

Abstract

Estimation of the yield per area is useful to increase farmer´s income.In the paper, models of the yield per area based on special 0-1 knapsack problem and multidimensional knapsack problem are presented.In order to slove the problem based on these models, genetic algorithm and ant colony algorithm are designed in the paper. And a special coding graph is designed to slove the knapsack problem.The results of simulation are presented in the paper.lt proves that the model of special 0-1 knapsack problem can slove the problem of optimization estimation of the yield per area based on intelligent computing.

Keywords

agriculture; genetic algorithms; graph theory; knapsack problems; agricultural yield per area estimation; ant colony algorithm; coding graph; farmer income; genetic algorithm; intelligent computing; multidimensional 0-1 knapsack problem; optimization; Algorithm design and analysis; Computational modeling; Control engineering; Design optimization; Genetic algorithms; Multidimensional systems; Numerical models; Optimization methods; Production; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5073196

Filename

5073196