Highlights on the evolutionary engineering approach: the EE-method

Author

Lehireche, A. ; Rahmoun, A. ; Gafour, A.

Author_Institution

Dept. of Comput. Sci., Djilali Liabes of Sidi Bel-Abbes Univ., Algeria

fYear

2001

fDate

2001

Firstpage

5

Lastpage

10

Abstract

Recent significant advances in artificial intelligence have led to the emergence of new concepts of soft computing, genetic programming, evolutionary engineering, hybrid intelligent systems, and artificial life. EE design relies on evolutionary algorithms to construct or evolve complex systems. This paper is intended to highlight the concept of evolutionary engineering, the motivations behind the use of EE in building complex systems, and a step by step methodology for designing such systems. Finally, the paper emphasizes a typical example of a “Brain Building” design project using EE: the CAM Brain Machine

Keywords

artificial intelligence; cellular automata; evolutionary computation; Brain Building project; CAM Brain Machine; artificial intelligence; artificial life; cellular automata; evolutionary algorithms; evolutionary engineering approach; genetic programming; hybrid intelligent systems; soft computing; system design; Algorithm design and analysis; Artificial intelligence; Buildings; Design engineering; Design methodology; Evolutionary computation; Genetic engineering; Genetic programming; Hybrid intelligent systems; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Systems and Applications, ACS/IEEE International Conference on. 2001

Conference_Location

Beirut

Print_ISBN

0-7695-1165-1

Type

conf

DOI

10.1109/AICCSA.2001.933944

Filename

933944