Optimization Planning based on Improved Ant Colony Algorithm for Robot
نویسندگان
چکیده
As the ant colony algorithm has the defects in robot optimization path planning such as that low convergence cause local optimum, an improved ant colony algorithm is proposed to apply to the planning of path finding for robot. This algorithm uses the search way of exhumation ant to realize the complementation of advantages and accelerate the convergence of algorithm. The experimental result shows that the algorithm of this paper make the optimization planning of robot more reasonable.
منابع مشابه
An Improved Ant Colony Optimization for the Multi-Robot Path Planning with Timeliness
To achieve efficient search performance for the multi-robot system which carries out the goal search task with consideration of timeliness, a multi-robot collaborative path planning system is designed to guide the robots during the search process. In the system, a planning method based on an Improved Ant Colony Optimization (IACO) algorithm is proposed. In the solution procedure, the path cost ...
متن کاملRobot Global Path Planning Based on an Improved Ant Colony Algorithm
Aiming at the disadvantages of the basic ant colony algorithm, this paper proposes an improved ant colony algorithm for robot global path planning. First, adjust the pheromone evaporation rate dynamically to enhance the global search ability and convergence speed, and then modify the heuristic function to improve the state transition probabilities in order to find the optimal solution as quickl...
متن کاملMobile Robot Path Planning Based on Multi-parameters Optimization Ant Colony Algorithm
The basic ant colony algorithm for mobile robot path planning has many problems, such as lack of stability,algorithm premature convergence, more difficult to find optimal solution for complex problems and so on. This paper proposes four improvement measures. 1. Apply genetic algorithm to optimization and configuration parameters of the basic ant colony algorithm; 2. Apply max min ant method to ...
متن کاملWelding Path Planning of welding Robot Based on Improved Ant Colony Algorithm
The basic ant colony algorithm in the welding robot path planning, in the search process, prone to search for too long, low efficiency, easy to fall into the local optimal and other issues. In this paper, the basic ant colony algorithm is improved, and the Adadelta algorithm is introduced. By combining the basic ant colony algorithm and Adadelta algorithm, the probability of selecting the next ...
متن کاملAnt-Q agent System Based Path Optimization Service for a Multi- Objective Mobile Robot and Real World
A multi-objective mobile robot path planning algorithm based on improved Ant-Q agent system algorithm is proposed. The most Driver has Navigation system. It is convenient if him use the Navigation system. But, Navigation systems are not able to determine optimized driving routes considering that each driver has specific driving habits and propensities and many circumstantial changes are present...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- JNW
دوره 9 شماره
صفحات -
تاریخ انتشار 2014