Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Competition-based neural network for the multiple travelling salesmen problem with minmax objective
Computers and Operations Research - Special issue on the traveling salesman problem
Dynamic Motion Planning for Mobile Robots Using Potential Field Method
Autonomous Robots
Design Issues of a Semi-Autonomous Robotic Assistant for the Health Care Environment
Journal of Intelligent and Robotic Systems
Mobile Robot Path Planning Using Genetic Algorithms
IWANN '99 Proceedings of the International Work-Conference on Artificial and Natural Neural Networks: Foundations and Tools for Neural Modeling
Real-time collision-free motion planning of a mobile robot using a Neural Dynamics-based approach
IEEE Transactions on Neural Networks
Dynamic path planning of mobile robots based on ABC algorithm
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part II
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Mobile robots are increasingly used in many areas. An optimum trajectory increases the effectiveness of a mobile robot. However, the environment may change dynamically which may require a real-time tour construction for the mobile robot. In this study, a heuristic-based TSP approach is applied to real-time dynamic tour construction problem for a mobile robot. Savings algorithm together with Dijsktra's algorithm is used to determine a feasible tour for the mobile robot. The proposed method is applicable when the network is complete or sparse, directed or undirected. Experiments are conducted to show the effectiveness of the proposed algorithm.