Abstract
The traditional evolution algorithm usually traps into local optimization easily. Aiming to the drawback of evolution algorithm, we propose a novel mobile robot path planning approach of immune evolutionary algorithm in irregular environment. The advantages of this method lie in two aspects. The diversity of antibodies can be maintained. Meanwhile immunity operation and optimizing operator can be used to improve the global search ability. The results of simulation experiment show that immune evolution algorithm is feasible and efficient, because it enhances the performance and quality of mobile robot path planning.
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