Path planning of free-flying space robot using memetic algorithm

Autor:	Jin Feihu
Rok vydání:	2013
Předmět:	Mathematical optimization business.industry Computer science Min-conflicts algorithm Computer Science::Robotics Genetic algorithm Simulated annealing Obstacle avoidance Memetic algorithm Local search (optimization) Motion planning business Hill climbing Computer Science::Databases
Zdroj:	Ifost.
DOI:	10.1109/ifost.2013.6616889
Popis:	Obstacle avoidance path planning of free-flying space robot is realized by using memetic algorithm. The memetic algorithm in this paper adopts genetic algorithm as global search and simulated annealing algorithm as local search, not only can find an optimal path but also can avoid obstacles safely. This method can find better results quickly and avoid falling into local minima. The algorithm was implemented with computer simulation and achieved good results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dc61881a12c1c18423d8d943d2b26d7d https://doi.org/10.1109/ifost.2013.6616889 Zobrazit plný text záznamu