| Sexual Recombination in Self-Organizing Interaction Networks. | |
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MedLine Citation:
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PMID: 20664708 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We build on recent advances in the design of self-organizing interaction networks by introducing a sexual variant of an existing asexual, mutation-limited algorithm. Both the asexual and sexual variants are tested on benchmark optimization problems with varying levels of problem difficulty, deception, and epistasis. Specifically, we investigate algorithm performance on Massively Multimodal Deceptive Problems and NK Landscapes. In the former case, we find that sexual recombination improves solution quality for all problem instances considered; in the latter case, sexual recombination is not found to offer any significant improvement. We conclude that sexual recombination in self-organizing interaction networks may improve solution quality in problem domains with deception, and discuss directions for future research. |
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Authors:
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Joshua L Payne; Jason H Moore |
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Publication Detail:
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Type: JOURNAL ARTICLE |
Journal Detail:
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Title: Lecture notes in computer science Volume: 6024 ISSN: 0302-9743 ISO Abbreviation: - Publication Date: 2010 |
Date Detail:
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Created Date: 2010-8-11 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101302926 Medline TA: Lect Notes Comput Sci Country: - |
Other Details:
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Languages: ENG Pagination: 41-50 Citation Subset: - |
Affiliation:
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Computational Genetics Laboratory, Dartmouth Medical School, Lebanon, NH 03756, USA. |
Export Citation:
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Descriptor/Qualifier:
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| Grant Support | |
ID/Acronym/Agency:
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R01 AI059694-05//NIAID NIH HHS; R01 LM009012-04//NLM NIH HHS; R01 LM010098-01//NLM NIH HHS; R01 AI059694-05//NIAID NIH HHS; R01 LM009012-04//NLM NIH HHS; R01 LM010098-01//NLM NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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