In this paper, the ant colony optimization (ACO) metaheuristic is proposed to solve the
mobile robot path planning (MRPP) problem. In order to demonstrate the effectiveness of …

Ant colony optimization (ACO) technique is proposed to solve the mobile robot path
planning (MRPP) problem. In order to demonstrate the effectiveness of ACO in solving the …

Abstract Currently Mobile Robot has been widely used in examination and navigation
particularly where static and unknown surroundings are involved. Path planning is a crucial …

To realize a fast and efficient path planning for mobile robot in complex environment, an
enhanced heuristic ant colony optimization (EH-ACO) algorithm is proposed. Four strategies …

In the Motion Planning research field, heuristic methods have demonstrated to outperform
classical approaches gaining popularity in the last 35 years. Several ideas have been …

Path planning of mobile robots in complex environments is the most challenging research. A
hybrid approach combining the enhanced ant colony system with the local optimization …

The basic ant colony algorithm for mobile robot path planning exists many problems, such
as lack of stability, algorithm premature convergence, more difficult to find optimal solution …

An improved ant colony algorithm was proposed with the unlimited step length of finding
optimal path. It aims at the shortcomings of the traditional ant colony algorithms such as the …

Robot path planning is a complicated problem which needs to balance many factors. In
pathfinding, the robot has to find the shortest path to the destination and avoid the obstacles …

Mobile robot path planning algorithm based on Ant Colony Optimization and Genetic
algorithm is proposed. The algorithm aims to achieve different kinds of optimization objects …