| 2981 |
Creator |
03d5fecfafde0654fe3259b85bdc30c6 |
| 2981 |
Date |
2003 |
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Is Part Of |
repository |
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abstract |
The term evolutionary computing (EC) refers to the study of the foundations and applications
of certain heuristic techniques based on the principles of natural evolution, and
thus the aim when designing evolutionary algorithms (EAs) is to mimic some of the
processes taking place in natural evolution. Many researchers around the world have
been developing EC methodologies for designing intelligent decision-making systems
for a variety of real-world problems. This book provides a collection of 40 articles,
written by leading experts in the field, containing new material on both the theoretical
aspects of EC and demonstrating its usefulness in various kinds of large-scale real-world
problems. Of the articles contributed, 23 articles deal with various theoretical aspects
of EC and 17 demonstrate successful applications of EC methodologies. |
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authorList |
authors |
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editorList |
editors |
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status |
peerReviewed |
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type |
Article |
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type |
BookSection |
| 2981 |
label |
Collins, Trevor (2003). Visualizing evolutionary computation. In: Ghosh, A. and
Tsutsui, S. eds. Advances in evolutionary computing. Springer Verlag, pp.
95–116. |
| 2981 |
label |
Collins, Trevor (2003). Visualizing evolutionary computation. In: Ghosh, A. and Tsutsui,
S. eds. Advances in evolutionary computing. Springer Verlag, pp. 95–116. |
| 2981 |
Publisher |
ext-0edd8791b6b9cdbf07ab4d5a2b318215 |
| 2981 |
Title |
Visualizing evolutionary computation |
| 2981 |
in dataset |
oro |