Title :
Optimizing system requirements with evolutionary computation
Author :
Sutcliffe, Alistair ; Chang, Wei-Chun ; Neville, Richard
Author_Institution :
Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
Abstract :
We introduce evolutionary computation into requirements engineering and propose a process for selecting an optimal set of components to satisfy fitness criteria of system reliability. The system architecture and algorithms are described with a case study of a command and control system. The results of the evolutionary requirements analysis are discussed
Keywords :
command and control systems; evolutionary computation; optimisation; systems analysis; systems engineering; algorithms; command and control system; evolutionary computation; evolutionary requirements analysis; fitness criteria; optimal components; requirements engineering; system architecture; system reliability; system requirements optimization; Artificial intelligence; Command and control systems; Computer architecture; Computerized monitoring; Design engineering; Evolutionary computation; Human computer interaction; Modeling; Reliability engineering; Systems engineering and theory;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006284
