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Improving global numerical optimization using a search-space reduction algorithm

Published:07 July 2007Publication History

ABSTRACT

We have developed an algorithm for reduction of search-space, called Domain Optimization Algorithm (DOA), applied to global optimization. This approach can efficiently eliminate search-space regions with low probability of containing a global optimum. DOA basically worksusing simple models for search-space regions to identify and eliminate non-promising regions. The proposed approach has shown relevant results for tests using hard benchmark functions.

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    • Published in

      cover image ACM Conferences
      GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
      July 2007
      2313 pages
      ISBN:9781595936974
      DOI:10.1145/1276958

      Copyright © 2007 ACM

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      Publication History

      • Published: 7 July 2007

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      GECCO '07 Paper Acceptance Rate266of577submissions,46%Overall Acceptance Rate1,669of4,410submissions,38%

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