A self-organizing neural network approach for the single AGV routing problem

2000-02-15
Soylu, M
Özdemirel, Nur Evin
Kayaligil, S
In this research, a special form of Automated Guided Vehicle (AGV) routing problem is investigated. The objective is to find the shortest tour for a single, free-ranging AGV that has to carry out multiple pick and deliver (P&D) requests. This problem is an incidence of the asymmetric traveling salesman problem which is known to be NP-complete. An artificial neural network algorithm based on Kohonen's self-organizing feature maps is developed to solve the problem, and several improvements on the basic features of self-organizing maps are proposed. Performance of the algorithm is rested under various parameter settings for different P&D request patterns and problem sizes, and compared with the optimal solution and the nearest neighbor rule. Promising results are obtained in terms of solution quality and computation time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Suggestions

A computation-implementation parallelization approach to the vehicle loading and routing problem
Çavdar, Bahar; Sokol, Joel (Wiley, 2019-01-01)
In this article, we address a version of the capacitated vehicle routing problem where there is a constraint on the total time that can be spent on computing delivery routes and loading the vehicles. This problem, which we call the vehicle loading and routing problem (VLRP), can arise, for example, in the delivery of small, quick-turnaround orders from a warehouse. We propose a computation-implementation parallelization (CIP) approach to solving large VLRP instances, and present computational results showin...
An algorithm for multiscale license plate detection and rule-based character segmentation
Karalı, Ali Onur; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2011)
License plate recognition (LPR) technology has great importance for the development of Intelligent Transportation Systems by automatically identifying the vehicles using image processing and pattern recognition techniques. Conventional LPR systems consist of license plate detection (LPD), character segmentation (CS) and character recognition (CR) steps. Successful detection of license plate and character locations have vital role for proper LPR. Most LPD and CS techniques in the literature assume fixed dist...
An Approach for System Identification in Unmanned Surface Vehicles
Erunsal, Izzet Kagan; Ahiska, Kenan; Kumru, Murat; Leblebicioğlu, Mehmet Kemal (2017-10-21)
In this study, a system identification methodology is introduced to determine the model parameters of unmanned surface vehicles. The proposed identification scheme is based on sequencing the experiments according to their capabilities to identify the model parameters. In each experiment, the parameters to be found are updated and the results are validated before ascertaining the final value. A procedure to complete the identification work in an experiment, namely the required post-processing, the optimizati...
An accelerated life test approach for aerospace structural components
Özsoy, Serhan; Çelik, Mehmet; Kadıoğlu, Fevzi Suat (Elsevier BV, 2008-10-01)
In this article, analysis and testing processes of the prototype of a helicopter’s mission system sensor (MSS)-cowling assembly is described. MSS is an add-on unit which is mounted on the helicopter body. In order to ensure that the attached unit functions for a specified life without structural failure, a careful analysis and testing program had been implemented. The approach described here which involves accelerated life testing (ALT) establishes an appropriate methodology for such “integration” projects....
Evaluation of Haptic Feedback Cues on Vehicle Teleoperation Performance in an Obstacle Avoidance Scenario
HACINECİPOĞLU, AKİF; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (2013-04-18)
Teleoperation of an unmanned vehicle is a challenging task for human operators especially when the vehicle is not within line of sight. Lack of situational awareness and increased workload due to limited perception channels result in degraded task performance. If these teleoperation missions are human-critical then it becomes more important to improve the operator performance by decreasing workload and improving situational awareness. In this paper, a new teleoperation interface which provides force feedbac...
Citation Formats
M. Soylu, N. E. Özdemirel, and S. Kayaligil, “A self-organizing neural network approach for the single AGV routing problem,” EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, pp. 124–137, 2000, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37761.