DocumentCode
3781746
Title
Research on Tasks Satisfaction Type of Intelligent Planning Algorithm
Author
Tong Wang;Yiming Bi;Ping Yang;Shimei Zhai
Author_Institution
Xi´an Res. Inst. of High-Technol., Xi´an, China
fYear
2015
Firstpage
710
Lastpage
713
Abstract
To a certain degree of risk planning problem, this paper adopts intelligent planning algorithm based on the idea of tasks satisfaction to study. After the idea of tasks satisfaction and the traditional immune genetic algorithm are given, the immune genetic algorithm is improved, and the algorithm process is given. Taking an industrial sector to test six products for example, under the condition of resources and time constraints, tasks are planned by using the improved immune genetic algorithm based on the idea of tasks satisfaction, and the planning result is satisfying, which proves that the improved immune genetic algorithm based on the idea of tasks satisfaction is scientific and feasible.
Keywords
"Genetic algorithms","Planning","Vaccines","Optimization","Sociology","Statistics","Genetics"
Publisher
ieee
Conference_Titel
Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015 IEEE 12th Intl Conf on
Type
conf
DOI
10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.143
Filename
7518322
Link To Document