Robot Path Integration in Manufacturing Processes: Genetic Algorithm Versus Ant Colony Optimization

Applying swarm intelligence to a library system

“…A novel hybrid optimization algorithm based on ant colony optimization has been developed and applied to target motion analysis, pap-smear cell classification, and tool path problems. Its effectiveness is comparable to those of standard estimators (Nolle, 2008 [32], Marinakis and Dounias, 2008 [33], and Tewolde and Sheng, 2008 [34]). …”

Research on the ant colony algorithm in robot path planning

“…According to the group behavior of ants "in search of food", the famous Italian scholars Dorrigo M in 1991, putted forward the basic model of ant colony algorithm [3]. The ants do not know the location of food, while in the process of ants searching for food will be on the path to release a secretion (pheromones), one of the ants find food, other ants will according to the pheromone along this path to find the same food, some ants will not like other ants along the same path but will find other paths, the pheromone concentration size according to distance, Pheromones at the same time will disappear with time and volatilization, when one path from food recently (pheromone biggest), the more the ants will choose this path, finally, after a period of time will be most ants moving form an optimal path [4].…”

Toolpath Generation for CNC Milled Parts Using Genetic Algorithms

“…Heuristics have been used for path planning in several applications one of them being spray forming [7]. A study was done comparing the use of genetic algorithms and ant colony optimisation on path planning in spray forming.…”

“…A study was done comparing the use of genetic algorithms and ant colony optimisation on path planning in spray forming. It was found that genetic algorithms produced faster results at the cost of lower quality solutions [7].…”