Modeling hierarchical genetic strategy as a Lindenmayer system

Abstract

A hierarchical genetic strategy is an effective tool in solving ill posed global optimization problems. We use a context-sensitive stochastic Lindenmayer system to describe the structure of HGS. The results of simple numerical experiments are reported. We try to use this strategy in robot motion planning.