Zobrazeno 1 - 10
of 69
pro vyhledávání: '"R. Geetha Ramani"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 6, Iss 2 (2009)
This paper presents the evolved soccer player strategies with ant-intelligence through genetic programming. To evolve the code for players we used the Evolutionary Computation tool (ECJ simulatorEvolutionary Compuation in Java). We tested the evolved
Externí odkaz:
https://doaj.org/article/796a9c1463b9428ca77ce5ce6215553c
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 6 (2009)
This paper presents the evolved soccer player strategies with ant-intelligence through genetic programming. To evolve the code for players we used the Evolutionary Computation tool (ECJ simulator-Evolutionary Compuation in Java). We tested the evolve
Externí odkaz:
https://doaj.org/article/930d2f78e7224d17900c8437369020cc
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 5, Iss 1 (2008)
Robotic Soccer is a multi-agent test bed, which requires the designer to address most of the issues of multi-agent research. Social insect behaviors observed in nature when adopted to solve problems they are giving promissing results. The domains lik
Externí odkaz:
https://doaj.org/article/c7f694a8f1b04cacaa30516e7423fcd7
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 5 (2008)
TeamBots was designed and developed by Tucker Balch at Carnegie Mellon University, as development and testing environment for studying collaborative robot behaviour. This paper presents the strategies behind all the robot soccer teams available in th
Externí odkaz:
https://doaj.org/article/9cce36d0a9a6485d82195d9e60b3fd9b
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 5, Iss 4 (2008)
TeamBots was designed and developed by Tucker Balch at Carnegie Mellon University, as development and testing environment for studying collaborative robot behaviour. This paper presents the strategies behind all the robot soccer teams available in th
Externí odkaz:
https://doaj.org/article/f5894579cded40f39141001a02077c9d
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811946752
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c44ee2d3f40da968322f270acd0b0fe8
https://doi.org/10.1007/978-981-19-4676-9_45
https://doi.org/10.1007/978-981-19-4676-9_45
Publikováno v:
International Journal of Computing and Digital Systems. 10:675-688
Publikováno v:
Proceedings of International Conference on Computational Intelligence and Data Engineering ISBN: 9789811671814
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f4ca8e682d78a367088d7d7bddbda17
https://doi.org/10.1007/978-981-16-7182-1_27
https://doi.org/10.1007/978-981-16-7182-1_27
Publikováno v:
Applied Computational Technologies ISBN: 9789811927188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3879065972508d9acac0ccb3cbb2d929
https://doi.org/10.1007/978-981-19-2719-5_27
https://doi.org/10.1007/978-981-19-2719-5_27
Publikováno v:
International journal of computer assisted radiology and surgery. 17(7)
Automatic retinal fundus image quality analysis is one of the most essential preliminary stages in automatic computer-aided retinal disease diagnosis system, which allows good-quality fundus images for accurate disease prediction through localization