Title :
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
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;
Conference_Titel :
Computer Systems and Applications, ACS/IEEE International Conference on. 2001
Conference_Location :
Beirut
Print_ISBN :
0-7695-1165-1
DOI :
10.1109/AICCSA.2001.933944