Abstract
In this paper, we propose an optimization method which is based on the Lagrangian method. Experimental results show that the search can effectively find the feasible solutions. We also introduce long and short term memories to the Lagrangian method. There are several possible ways of integrating the long and short term memories. We examine some of basic ways of integration in the experiments, and decide the effective one. When we use this effective way of integration, we can improve the efficiency of the Lagrangian method furthermore.
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Nagamatu, M., Weerasinghe, J. (2009). Using Long and Short Term Memories in Solving Optimization Problems. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10684-2_51
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DOI: https://doi.org/10.1007/978-3-642-10684-2_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10682-8
Online ISBN: 978-3-642-10684-2
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