Abstract
In this paper, the asynchronous parallel evolutionary modeling algorithm (APEMA) is used to predict the solutions of a challenging non-linear problem (NLP)-a very high dimensional BUMP problem. Numerical experiments shows that the low order ordinary differential equations (ODE) models give good results.
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Li, Y., Liu, Z. (2003). Predicting the Solutions of a Challenging NLP Problem with Asynchronous Parallel Evolutionary Modeling Algorithm. In: Guo, M., Yang, L.T. (eds) Parallel and Distributed Processing and Applications. ISPA 2003. Lecture Notes in Computer Science, vol 2745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-37619-4_30
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DOI: https://doi.org/10.1007/3-540-37619-4_30
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