Effective Search with Hopping Chaos for Hopfield Neural Networks Solving QAP

Many people propose the method adding chaos noise to Hopfield neural network for solving combinatorial optimization problems. In our past study, we solved quadratic assignment problem by Hopfield neural network with various chaotic noises. However, the solution of the network is sometimes trapped in a certain area and can not find a good solution, especially for relatively larger problems. In this study, we propose a method changing the amplitude of the chaos noise. We investigate the performance of Hopfield neural network with the hopping chaos for quadratic assignment problem.