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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lazarowska, A. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Ship Autom., Gdynia Maritime Univ., Gdynia, Poland (Lazarowska, A.) |
| Abstract | The paper presents the results of parameters influence evaluation on the performance of the safe ship trajectory planning algorithm utilizing Ant Colony Optimization (ACO). A brief description of the developed ACO based safe ship control algorithm is presented and results of simulation tests in three different environments are shown and summarized with regard to the influence of parameters settings on the algorithm convergence and computational time. |
| Starting Page | 140 |
| Ending Page | 145 |
| File Size | 3994595 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479983223 |
| DOI | 10.1109/CYBConf.2015.7175921 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-24 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ant Colony Optimization Navigation Autonomous systems Computational modeling Heuristic algorithms Safe ship control Swarm intelligence Trajectory Planning Marine vehicles |
| Content Type | Text |
| Resource Type | Article |
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