Optimal Robot Path Planning using Enhanced Particle Swarm Optimization algorithm
نویسندگان
چکیده
منابع مشابه
Robot Path Planning Based on Random Coding Particle Swarm Optimization
Mobile robot navigation is to find an optimal path to guide the movement of the robot, so path planning is guaranteed to find a feasible optimal path. However, the path planning problem must be solve two problems, i.e., the path must be kept away from obstacles or avoid the collision with obstacles and the length of path should be minimized. In this paper, a path planning algorithm based on ran...
متن کاملProduction Planning Optimization Using Genetic Algorithm and Particle Swarm Optimization (Case Study: Soofi Tea Factory)
Production planning includes complex topics of production and operation management that according to expansion of decision-making methods, have been considerably developed. Nowadays, Managers use innovative approaches to solving problems of production planning. Given that the production plan is a type of prediction, models should be such that the slightest deviation from their reality. In this ...
متن کاملRobot Path Planning Using Cellular Automata and Genetic Algorithm
In path planning Problems, a complete description of robot geometry, environments and obstacle are presented; the main goal is routing, moving from source to destination, without dealing with obstacles. Also, the existing route should be optimal. The definition of optimality in routing is the same as minimizing the route, in other words, the best possible route to reach the destination. In most...
متن کاملRobotic path planning using hybrid genetic algorithm particle swarm optimisation
The problem of robotic path planning has always attracted the interests of a significantly large number of researchers due to the various constraints and issues related to it. The optimization in terms of time and path length and validity of the non-holonomic constraints, especially in large sized maps of high resolution, pose serious challenges for the researchers. In this paper we propose Hyb...
متن کاملSmooth Path Planning for Mobile Robot Using Particle Swarm Optimization and Radial Basis Functions
One of the most important tasks to be performed by a mobile robot is to find a collision-free and smooth path to follow. Given a set of initial control points and using a Radial Basis Function (RBF), a method is proposed, in which is used the RBF’s property to approximate smooth functions to define a collision-free and short path. In this paper we formulate the training technique of an RBF as a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Iraqi Journal of Science
سال: 2020
ISSN: 2312-1637,0067-2904
DOI: 10.24996/ijs.2020.61.1.20