Promoting Machine-Code Program Evolution in Asynchronous Genetic Programming
Author:
Affiliation:
1. Department of Human and Computer Intelligence, College of Information Science and Engineering, Ritsumeikan University
2. Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.9746/jcmsi.9.93
Reference22 articles.
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2. [2] A. Carlisle and G. Dozier: An off-the-shelf PSO, PSO Workshop, pp. 1-6, Indianapolis, IN, 2001.
3. [3] A. Lewis, S. Mostaghim, and I. Scriven: Asynchronous multi-objective optimisation in unreliable distributed environments, A. Lewis, S. Mostaghim, and M. Randall, (Eds.), Biologically-Inspired Optimisation Methods, Studies in Computational Intelligence, Vol. 210, pp. 51-78, Springer, 2009.
4. [4] T. Glasmachers: A natural evolution strategy with asynchronous strategy updates, Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, GECCO '13, pp. 431-438, New York, NY, 2013.
5. [5] V.G. Asouti and K.C. Giannakoglou: Aerodynamic optimization using a parallel asynchronous evolutionary algorithm controlled by strongly interacting demes, Engineering Optimization, Vol. 41, No. 3, pp. 241-257, March 2009.
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1. Machine-Code Program Evolution by Genetic Programming Using Asynchronous Reference-Based Evaluation Through Single-Event Upset in On-Board Computer;Journal of Robotics and Mechatronics;2017-10-20
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