Extended Hopfield models of neural networks for combinatorial multiobjective optimization problems

Balicki, Jerzy; Kitowski, Zygmunt; Stateczny, Andrzej

doi:10.1109/ijcnn.1998.686025

Cited by 20 publications

(6 citation statements)

References 7 publications

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“…Navigation on inland waterways is much more difficult because of depth and vertical clearance limits, where draft and air draft should be compared with local water level conditions. Radar data processing especially for target tracking but not only was presented in several articles [36][37][38][39][40][41][42][43][44][45].…”

Section: Design Of Microwave Water Level Gauges Networkmentioning

confidence: 99%

Radar water level sensors for full implementation of the river information services of border and lower section of the Oder in Poland

Stateczny¹

2016

2016 17th International Radar Symposium (IRS)

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Marine Technology Ltd. developed in 2015 functional-utility program of full implementation of River Information Services (RIS) of border and lower section of the Oder in Poland. The full implementation of the RIS is designed to introduce River Information Services in a wider area compared with the pilot implementation and to develop the scope of provided services. The works are to be based on the base of technologies checked in the pilot implementation, including conclusions which will allow in particular to increase the ergonomics of the system. The provision of information services that will make it possible to increase safety on inland waterways and will significantly increase the level of access and harmonization of navigation information. In the article aspects of microwave sensors -radar water level sensors implementation are described.

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Section: Design Of Microwave Water Level Gauges Networkmentioning

confidence: 99%

Radar water level sensors for full implementation of the river information services of border and lower section of the Oder in Poland

Stateczny¹

2016

2016 17th International Radar Symposium (IRS)

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“…Finding allocations of program modules may decrease the total time of a program execution by taking a benefit of the particular properties of some workstations or an advantage of the computer load [1].…”

Section: Optimization Of Comcute Grid Systemmentioning

confidence: 99%

Genetic programming with negative selection for volunteer computing system optimization

Balicki

Korłub

Krawczyk

et al. 2013

2013 6th International Conference on Human System Interactions (HSI)

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Volunteer computing systems like BOINC or Comcute are strongly supported by a great number of volunteers who contribute resources of their computers via the Web. So, the high efficiency of such grid system is required, and that is why we have formulated a multi-criterion optimization problem for a volunteer grid system design. In that dilemma, both the cost of the host system and workload of a bottleneck host are minimized. On the other hand, a reliability of this grid structure is maximized. Moreover, genetic programming has been applied to determine the Pareto solutions. Finally, a negative selection procedure to handle constraints has been discussed.

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“…SOM is part of a large group of techniques known as artificial neural network (ANN). ANN is very often used in the process of navigation data processing [1][2][3][4][5][6][7][8][9][10][11]. SOM is also called the Kohonen network -an unsupervised neural network algorithm developed by Teuvo Kohonen.…”

Section: Introductionmentioning

confidence: 99%

Selection of SOM parameters for the needs of clusterization of data obtained by interferometric methods

Wlodarczyk–Sielicka

Stateczny²

2015

2015 16th International Radar Symposium (IRS)

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The article presents a detailed analysis of parameter settings of self-organizing map (SOM) for the clusterization of bathymetric data obtained using interferometric techniques. Clusterization using SOM is one of the stages of a new a geodata reduction method being currently researched by the authors for the purpose of a bathymetric map construction. In the research authors used data obtained by GeoSwath+.-interferometric sonar system. Test data gathered from the area of 100m² included 3760 data points. During the tests the authors focused primarily on setting individual network parameters in the course of network training and also on their importance in the clustering of bathymetric data. A total of forty-eight different scenarios of SOM parameter settings were tested. In the article detailed analysis of the obtained results is presented with an emphasis on the use of SOM in future studies related to new geodata reduction method.

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Extended Hopfield models of neural networks for combinatorial multiobjective optimization problems

Cited by 20 publications

References 7 publications

Radar water level sensors for full implementation of the river information services of border and lower section of the Oder in Poland

Radar water level sensors for full implementation of the river information services of border and lower section of the Oder in Poland

Genetic programming with negative selection for volunteer computing system optimization

Selection of SOM parameters for the needs of clusterization of data obtained by interferometric methods

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