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pro vyhledávání: '"洪誠鋒"'
Autor:
Cheng-Feng Hung, 洪誠鋒
102
This thesis proposes the concept of Self-Learning Ant Colony Optimization (SLACO), and applies it to the optimal robot path planning. Therein, SLACO includes Partial Pheromone Updating, Ant Homing Method and Self-Learning Pheromone Updating
This thesis proposes the concept of Self-Learning Ant Colony Optimization (SLACO), and applies it to the optimal robot path planning. Therein, SLACO includes Partial Pheromone Updating, Ant Homing Method and Self-Learning Pheromone Updating
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/95466980305026956683
