چکیده مقاله
In this Research using four important metaheuristic methods of optimization including Ant colony, particle swarm, genetic and metal cooling simulation, robot’s motion route has been investigated Metaheuristic optimization methods are smart and considerably are very powerful in finding high quality answers in complicated problems Here in, four methods such as ant colony, particle swarm and genetic algorithm are used for robot’s movement routing instead of other old methods First the problem is examined, the current location origin and robot’s destination are studied, as well as location of the obstacles in the robot Afterwards, in order to explain the machanisms of the four aforementioned algorithms and to understand the differences and similarities and also to develop them, optimizing the robot's movement routing is taken into consideration
کلیدواژهها
نویسندگان
Zahra Abdoli
Masters student, Faculty of Mechanical Engineering, Iran University of Science and Technology, Tehran,IRAN
Ehsan Anbarzadeh
PhD student, Faculty of Mechanical Engineering, Iran University of Science and Technology, Tehran, IRAN
شیوه ارجاع
Abdoli, Zahra and Anbarzadeh, Ehsan,1399,A review on metaheuristic algorithms of Ant colony, Genetic and Particle swarm in robot’s routing,Third International Conference on Interdisciplinary Research in Electrical, Computer, Mechanics and Mechatronics Engineering in Iran and Islamic World,Karaj
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی تحقیقات بین رشته ای در مهندسی برق، کامپیوتر، مکانیک و مکاترونیک در ایران و جهان اسلام30 شهریور 1399 · کرج