Elastic Adjusting Method and its Application to Solve Static TSP

Enlightened by the synapse intensifying and adjusting mechanisms in biological neural network (BNN), this paper presents a multi-patterns elastic adjusting method, which dynamically modulates the encoded gene patterns in chromosomes, guides genetic algorithm (GA) to coordinate exploration and exploitation, therefore tries to probe and evaluate the optimizing trends of static problem from its own dynamic change. A general model of genetic optimization is investigated by combining this method with GA, and the results of the experiments for TSP problems show that the method has good optimizing performance.