An Immunity Algorithm-based Motive Robot Path-planning System

摘要

This paper introduces a framework of simulation system for robot path-planning based on biological immunity algorithm. The system can acquire and optimize rules via machine learning, and has strong ability in domain searching, self-adapting and learning. Therefore, the system can rapidly generate the path plan that can fully accustom to the environment.