Highlights on the evolutionary engineering approach: the EE-method

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...

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Bibliographic Details
Main Authors: Lehireche, A., Rahmoun, A., Gafour, A.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Artificial intelligence
Buildings
Design engineering
Design methodology
Evolutionary computation
Genetic engineering
Genetic programming
Hybrid intelligent systems
Systems engineering and theory
Online Access:Request full text
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Summary: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.
DOI:10.1109/AICCSA.2001.933944