Design of Robot Controller Based on Improved Genetic Algorithms
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DOI: 10.23977/msmee.2018.72140
Author(s)
Di Wang, Wei Dong
Corresponding Author
Di Wang
ABSTRACT
To simulate robots and their environment, an improved genetic algorithm is implemented in robots controller, and finally succeeding in passing a random maze. Introducing elite individuals into genetic algorithms achieves quadratic inspiration. The experimental results show that the improved algorithm has faster search speed, compared with traditional genetic algorithm.
KEYWORDS
Improved genetic algorithm, robots controller, elite individuals