DocumentCode
2700735
Title
Amplification of perspectives in the use of evolutionary computation
Author
Falqueto, Jovelino ; Barreto, Jorge Muniz ; Da Silva Borges, Paulo Sérgio
Author_Institution
Dept. of Comput. Sci. & Stat., Univ. Fed. de Santa Catarina, Florianapolis, Brazil
fYear
2000
fDate
2000
Firstpage
150
Lastpage
157
Abstract
Initially, different areas of research in computer science based on models inspired by nature are approached. The area entitled “evolutionary computation” is discussed in a general view. After this, emphasis is placed on the human tendency to copy and to find answers to new problems by adopting similar solutions from other equivalent issues that have already been resolved by nature. Finally, we demonstrate that, in the case of evolutionary computation, even if success is achieved in many cases, most of what nature has attained was either severely simplified or truncated in the simulation process. Also, in several cases, a more detailed and more faithful copy could have yielded better results for already-existing systems or for new ones
Keywords
computer science; evolutionary computation; problem solving; simulation; computer science; copying; evolutionary computation; nature; perspective amplification; problem solving; simulation process; Artificial intelligence; Artificial neural networks; Computational modeling; Computer aided instruction; Computer applications; Computer science; Evolutionary computation; Humans; Machine intelligence; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Informatics and Biomedical Engineering, 2000. Proceedings. IEEE International Symposium on
Conference_Location
Arlington, VA
Print_ISBN
0-7695-0862-6
Type
conf
DOI
10.1109/BIBE.2000.889602
Filename
889602
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