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Collectively intelligent prediction in evolutionary multi-agent system

Kijak J., Martyna P., Byrski A., Faber Ł., Piętak K., Kisiel-Dorohinicki M.

International Journal of Microelectronics and Computer Science

2017

Vol. 8, nr 3

85--96

In the paper a summary of our previously realized and published work connected with constructing collective intelligent evolutionary multi-agent systems for time series prediction, based on multi-layered perceptrons is shown. Besides recalling our past papers, we describe the whole concept, present an implementation in a contemporary, componentoriented software framework AgE 3.0 and we conduct a number of experiments, finding different optimal parametrization for the considered instances of the problems (popular Mackey-Glass chaotic time series). The paper may be useful for a practitioner willing to use our meatheuristic algorithm (EMAS) along with the idea of collective agent-based system in order to realize prediction tasks.

Prospects for Scrutiny of Pulsars with Polish Part of LOFAR

Błaszkiewicz L., Lewandowski W., Krankowski A., Kijak J., Koralewska O., Dąbrowski B. P.

Acta Geophysica

2016

Vol. 64, no. 1

293--315

LOFAR (LOw Frequency ARray) is a new generation digitally controlled radio telescope consisting of phased array antenna stations with sensitivity, bandwidth, range of frequency, and digital processing power that makes it an excellent tool for observations of pulsars. This interferometric instrument is able to work in a single-station mode as well as in group-of-selected-stations mode. This article discusses the great opportunity for conducting unique and independent research of pulsar sources with the three LOFAR stations located in Poland and maintained by the POLFAR consortium.