Summary
International Symposium on Nonlinear Theory and its Applications
2008
Session Number:A3L-F
Session:
Number:A3L-F3
Meta-Heuristic Algorithms with Chaotic Neuro-Dynamics for Solving Combinatorial Optimization Problems
Tohru Ikeguchi, Kazuyuki Aihara,
pp.-
Publication Date:2008/9/7
Online ISSN:2188-5079
Summary:
In science and engineering, we are often asked to realize optimization: for example, job scheduling, delivery planning, VLSI design, circuit drilling, computer wiring, and so on. To solve these problems, an heuristic algorithm with chaotic neuro-dynamics has already been proposed. In this paper, we first reviewed the algorithm for solving combinatorial optimization problems by the chaotic neuro-dynamics. We also mentioned how the chaotic neuro-dynamics is effective for combinatorial optimization in real-world problems.