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Polygene-based evolution: a novel framework for evolutionary algorithms

Published: 29 October 2012 Publication History

Abstract

In this paper, we introduce polygene-based evolution, a novel framework for evolutionary algorithms (EAs) that features distinctive operations in the evolution process. In traditional EAs, the primitive evolution unit is gene, where genes are independent components during evolution. In polygene-based evolutionary algorithms (PGEAs), the evolution unit is polygene, i.e., a set of co-regulated genes. Discovering and maintaining quality polygenes can play an effective role in evolving quality individuals. Polygenes generalize genes, and PGEAs generalize EAs. Implementing the PGEA framework involves three phases: polygene discovery, polygene planting, and polygene-compatible evolution. Extensive experiments on function optimization benchmarks in comparison with the conventional and state-of-the-art EAs demonstrate the potential of the approach in accuracy and efficiency improvement.

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  • (2018)Polygene-based evolutionary algorithms with frequent pattern miningFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-016-6104-312:5(950-965)Online publication date: 1-Oct-2018

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  1. Polygene-based evolution: a novel framework for evolutionary algorithms

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    cover image ACM Conferences
    CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management
    October 2012
    2840 pages
    ISBN:9781450311564
    DOI:10.1145/2396761
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 29 October 2012

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    Author Tags

    1. data mining
    2. evolutionary algorithms
    3. optimization
    4. polygene

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    • (2018)Polygene-based evolutionary algorithms with frequent pattern miningFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-016-6104-312:5(950-965)Online publication date: 1-Oct-2018

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