Name
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. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/BIBE.2000.889602 | BIBE |
Keywords | Field | DocType |
equivalent issue,evolutionary computation,better result,general view,human tendency,already-existing system,new problem,computer science,faithful copy,different area,nature,evolutionary computing,artificial intelligence,computational modeling,artificial neural networks,computer applications,machine intelligence,statistics,simulation | Computer aided instruction,Human-based evolutionary computation,Computer science,Copying,Evolutionary computation,Theoretical computer science,Computer Applications,Artificial intelligence,Bioinformatics,Artificial neural network,Machine learning | Conference |
ISBN | Citations | PageRank |
0-7695-0862-6 | 0 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Falqueto | 1 | 0 | 0.34 |
| J. M. Barreto | 2 | 0 | 0.34 |
| P. S. da Silva Borges | 3 | 0 | 0.34 |