Investigation on Evolutionary Synthesis of Movement Commands
This paper deals with usage of an alternative tool for symbolic regression—analytic programming which is able to solve various problems from the symbolic domain, as well as genetic programming and grammatical evolution. This paper describes a setting of an optimal trajectory for a robot (originally...
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| Format: | Article |
| Language: | English |
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Wiley
2009-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2009/845080 |
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| _version_ | 1832554416537862144 |
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| author | Zuzana Oplatková Ivan Zelinka |
| author_facet | Zuzana Oplatková Ivan Zelinka |
| author_sort | Zuzana Oplatková |
| collection | DOAJ |
| description | This paper deals with usage of an alternative tool for symbolic regression—analytic programming which is able to solve various problems from the symbolic domain, as well as genetic programming and grammatical evolution. This paper describes a setting of an optimal trajectory for a robot (originally designed as an artificial ant on Santa Fe trail) solved by means of analytic programming. Firstly, main principles of analytic programming are described and explained. The second part shows how analytic programming was used for the application of finding a suitable trajectory step by step. Because analytic programming needs evolutionary algorithms for its run, three evolutionary algorithms were used—self-organizing migrating algorithm, differential evolution, and simulated annealing—to show that anyone can be used. The total number of simulations was 150 and results show that the first two used algorithms were more successful than not so robust simulated annealing. |
| format | Article |
| id | doaj-art-4dfbd1e683294c7cb7c5cba927b85432 |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-4dfbd1e683294c7cb7c5cba927b854322025-02-03T05:51:31ZengWileyModelling and Simulation in Engineering1687-55911687-56052009-01-01200910.1155/2009/845080845080Investigation on Evolutionary Synthesis of Movement CommandsZuzana Oplatková0Ivan Zelinka1Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stranemi 4511, 762 72 Zlín, Czech RepublicFaculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stranemi 4511, 762 72 Zlín, Czech RepublicThis paper deals with usage of an alternative tool for symbolic regression—analytic programming which is able to solve various problems from the symbolic domain, as well as genetic programming and grammatical evolution. This paper describes a setting of an optimal trajectory for a robot (originally designed as an artificial ant on Santa Fe trail) solved by means of analytic programming. Firstly, main principles of analytic programming are described and explained. The second part shows how analytic programming was used for the application of finding a suitable trajectory step by step. Because analytic programming needs evolutionary algorithms for its run, three evolutionary algorithms were used—self-organizing migrating algorithm, differential evolution, and simulated annealing—to show that anyone can be used. The total number of simulations was 150 and results show that the first two used algorithms were more successful than not so robust simulated annealing.http://dx.doi.org/10.1155/2009/845080 |
| spellingShingle | Zuzana Oplatková Ivan Zelinka Investigation on Evolutionary Synthesis of Movement Commands Modelling and Simulation in Engineering |
| title | Investigation on Evolutionary Synthesis of Movement Commands |
| title_full | Investigation on Evolutionary Synthesis of Movement Commands |
| title_fullStr | Investigation on Evolutionary Synthesis of Movement Commands |
| title_full_unstemmed | Investigation on Evolutionary Synthesis of Movement Commands |
| title_short | Investigation on Evolutionary Synthesis of Movement Commands |
| title_sort | investigation on evolutionary synthesis of movement commands |
| url | http://dx.doi.org/10.1155/2009/845080 |
| work_keys_str_mv | AT zuzanaoplatkova investigationonevolutionarysynthesisofmovementcommands AT ivanzelinka investigationonevolutionarysynthesisofmovementcommands |