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Multitask evolution with cartesian genetic programming

Published: 15 July 2017 Publication History

Abstract

We introduce a genetic programming method for solving multiple Boolean circuit synthesis tasks simultaneously. This allows us to solve a set of elementary logic functions twice as easily as with a direct, single-task approach.

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Marco Dorigo and Marco Colombetti. 1998. Robot Shaping: An Experiment in Behavior Engineering. MIT Press, Cambridge, MA, USA.
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Chrisantha Fernando, Dylan Banarse, Charles Blundell, Yori Zwols, David Ha, Andrei A Rusu, Alexander Pritzel, and Daan Wierstra. 2017. PathNet: Evolution Channels Gradient Descent in Super Neural Networks. arXiv preprint arXiv:1701.08734 (2017).
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Abhishek Gupta, Yew-Soon Ong, and Liang Feng. 2016. Multi-factorial Evolution. IEEE Transactions on Evolutionary Computation 20, 3 (2016), 343--357.
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Richard E. Lenski, Charles Ofria, Robert T. Pennock, and Christoph Adami. 2003. The evolutionary origin of complex features. Nature 423 (May 2003), 139--144.
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Julian F Miller. 2011. Cartesian genetic programming. In Cartesian Genetic Programming. Springer, 17--34.
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A Nguyen, J Yosinski, and J Clune. 2016. Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. Evolutionary Computation (2016).

Cited By

View all
  • (2023)What makes evolutionary multi-task optimization betterApplied Soft Computing10.1016/j.asoc.2023.110545145:COnline publication date: 1-Sep-2023
  • (2022)Evolutionary Multitasking for Multiobjective Optimization With Subspace Alignment and Adaptive Differential EvolutionIEEE Transactions on Cybernetics10.1109/TCYB.2020.298088852:4(2096-2109)Online publication date: Apr-2022
  • (2022)Half a Dozen Real-World Applications of Evolutionary Multitasking, and MoreIEEE Computational Intelligence Magazine10.1109/MCI.2022.315533217:2(49-66)Online publication date: May-2022
  • Show More Cited By

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    Published In

    cover image ACM Conferences
    GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion
    July 2017
    1934 pages
    ISBN:9781450349390
    DOI:10.1145/3067695
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 15 July 2017

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    Author Tags

    1. cartesian genetic programming
    2. multitask learning

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    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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    Cited By

    View all
    • (2023)What makes evolutionary multi-task optimization betterApplied Soft Computing10.1016/j.asoc.2023.110545145:COnline publication date: 1-Sep-2023
    • (2022)Evolutionary Multitasking for Multiobjective Optimization With Subspace Alignment and Adaptive Differential EvolutionIEEE Transactions on Cybernetics10.1109/TCYB.2020.298088852:4(2096-2109)Online publication date: Apr-2022
    • (2022)Half a Dozen Real-World Applications of Evolutionary Multitasking, and MoreIEEE Computational Intelligence Magazine10.1109/MCI.2022.315533217:2(49-66)Online publication date: May-2022
    • (2022)Overview and Application-Driven Motivations of Evolutionary MultitaskingEvolutionary Multi-Task Optimization10.1007/978-981-19-5650-8_2(11-27)Online publication date: 10-Aug-2022
    • (2020)Genetic Programming Multitasking2020 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI47803.2020.9308600(1004-1012)Online publication date: 1-Dec-2020
    • (2019)Automating Knowledge Transfer with Multi-Task Optimization2019 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2019.8790224(2252-2259)Online publication date: Jun-2019
    • (2018)Insights on Transfer Optimization: Because Experience is the Best TeacherIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2017.27691042:1(51-64)Online publication date: Feb-2018

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