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Pregled bibliografske jedinice broj: 395402

Managing Electromagnetic Field Pollution Using Genetic Algorithm


Rolich, Tomislav; Grundler, Darko
Managing Electromagnetic Field Pollution Using Genetic Algorithm // Computer in Technical Systems & Intelligent Systems / Bogunović, Nikola ; Ribarić, Slobodan (ur.).
Opatija, Croatia: Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2009. str. 227-232 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 395402 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Managing Electromagnetic Field Pollution Using Genetic Algorithm

Autori
Rolich, Tomislav ; Grundler, Darko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Computer in Technical Systems & Intelligent Systems / Bogunović, Nikola ; Ribarić, Slobodan - Opatija, Croatia : Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2009, 227-232

ISBN
978-953-233-045-8

Skup
32nd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2009

Mjesto i datum
Opatija, Hrvatska, 25-29.05.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
electromagnetic field; genetic algorithm; MATLAB; optimization; transmitter

Sažetak
Paper describe method for finding transmitters parameters (locations and powers) for optimal electromagnetic radiation distribution in observed area. Constraints are protected areas inside observed area where strength of electric field is limited because of permanent people presence. In observed area one wish to obtain strength of electric field which is higher than lower limit value to cover the area with enough reception signal strength. On the other side electric field inside protected areas has to be lower than prescribed upper limit. Those two conditions are contradictory. In here described investigation genetic algorithm is used for finding transmitters parameters (locations and powers) constrained by above mentioned conditions. Investigation is limited to rectangular planar observing area with one, two and three transmitters and with different formation and size of protected areas. Procedure has been repeated and results statistically analyzed. Based on those results it can be concluded that procedure is applicable and it is justified to continue investigations for more complex and more realistic situations e.g. transmitters with directed radiations and for three dimensional spaces.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
117-0000000-3254 - Evolucijski algoritmi za optimiranje elektromagnetskog opterećenja okoliša (Grundler, Darko, MZOS ) ( POIROT)

Ustanove:
Tekstilno-tehnološki fakultet, Zagreb

Profili:

Avatar Url Darko Grundler (autor)

Avatar Url Tomislav Rolich (autor)


Citiraj ovu publikaciju:

Rolich, Tomislav; Grundler, Darko
Managing Electromagnetic Field Pollution Using Genetic Algorithm // Computer in Technical Systems & Intelligent Systems / Bogunović, Nikola ; Ribarić, Slobodan (ur.).
Opatija, Croatia: Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2009. str. 227-232 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Rolich, T. & Grundler, D. (2009) Managing Electromagnetic Field Pollution Using Genetic Algorithm. U: Bogunović, N. & Ribarić, S. (ur.)Computer in Technical Systems & Intelligent Systems.
@article{article, year = {2009}, pages = {227-232}, keywords = {electromagnetic field, genetic algorithm, MATLAB, optimization, transmitter}, isbn = {978-953-233-045-8}, title = {Managing Electromagnetic Field Pollution Using Genetic Algorithm}, keyword = {electromagnetic field, genetic algorithm, MATLAB, optimization, transmitter}, publisher = {Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, year = {2009}, pages = {227-232}, keywords = {electromagnetic field, genetic algorithm, MATLAB, optimization, transmitter}, isbn = {978-953-233-045-8}, title = {Managing Electromagnetic Field Pollution Using Genetic Algorithm}, keyword = {electromagnetic field, genetic algorithm, MATLAB, optimization, transmitter}, publisher = {Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO}, publisherplace = {Opatija, Hrvatska} }




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