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Evolutionary computation: challenges for the 21st century

Published: 11 June 2010 Publication History

Abstract

The field of Evolutionary Computation has experienced tremendous growth over the past 40 years, resulting in a wide variety of evolutionary algorithms and applications. This poses two interesting challenges: to provide a unified view of the field and to identify important open issues.
This talk addresses these challenges by giving an overview of a general EC framework that can help compare and contrast approaches, encourages crossbreeding, and facilitates intelligent design choices. The use of this framework is then illustrated by showing how traditional EAs can be compared and contrasted with it, and how new EAs can be effectively designed using it.
Finally, the framework is used to identify some important open issues that need further research

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cover image ACM Conferences
BADS '10: Proceedings of the 2nd workshop on Bio-inspired algorithms for distributed systems
June 2010
66 pages
ISBN:9781450300865
DOI:10.1145/1809018

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  • IEEE
  • University of Arizona: University of Arizona

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 June 2010

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  1. evolutionary computation

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