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 :
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