Abstract
This paper presents a SBGA based path planning method for mobile robot. Its main idea is that the population is divided into several subpopulations. are evolved using our genetic algorithm. The excellent individuals of the subpopulations comprise of new generation of population that will continue to be evolved. Our method voids premature convergence problem of simple genetic algorithm, enlarges the domain of searching, and improves the efficiency of searching, solves the question of one population genetic algorithm in path planning. Experimental results show the feasibility and validity using the subpopulation based genetic algorithm in path planning for mobile robot.
| Original language | English |
|---|---|
| Pages (from-to) | 246-248 |
| Number of pages | 3 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 42 |
| Issue number | SUPPL. 2 |
| State | Published - May 2010 |
| Externally published | Yes |
Keywords
- Genetic algorithm
- Mobile robot, path planning
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