Summary
the 2014 International Symposium on Nonlinear Theory and its Applications
2014
Session Number:B2L-C
Session:
Number:B2L-C1
Method for Solving Optimization Problems Using Algorithm Switching by Chaotic Neural Networks
Toshihiro Tachibana, Masaharu Adachi,
pp.329-332
Publication Date:2014/9/14
Online ISSN:2188-5079
Summary:
We have proposed method for solving optimization problems using algorithm switching by chaotic neural networks. In this paper, we focus on asymmetric traveling salesman problems and multi-objective optimization problems. These problems have complex solution space to explore. For such problems, we assume that one can explore better solution by switching algorithms adaptively. To determine the switching, the proposed method utilizes tabu effects with exponential decays that are main feature of chaotic neurons in the network. The proposed method finds the same or better solutions than that by the previous method.