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Pregled bibliografske jedinice broj: 181062

Artificial Immune Systems in Evolutionary Method for Optimal Distribution Network Design


Keko, Hrvoje; Skok, Minea; Škrlec, Davor; Krajcar, Slavko
Artificial Immune Systems in Evolutionary Method for Optimal Distribution Network Design // Proceedings of the Fourth IASTED International Conference on Modelling, Simulation and Optimization / Hamza, M.H. (ur.).
Kauai, Hawaii, SAD: IASTED/ACTA Press, 2004. str. 423-428 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Artificial Immune Systems in Evolutionary Method for Optimal Distribution Network Design

Autori
Keko, Hrvoje ; Skok, Minea ; Škrlec, Davor ; Krajcar, Slavko

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

Izvornik
Proceedings of the Fourth IASTED International Conference on Modelling, Simulation and Optimization / Hamza, M.H. - : IASTED/ACTA Press, 2004, 423-428

Skup
Fourth IASTED International Conference on Modelling, Simulation and Optimization

Mjesto i datum
Kauai, Hawaii, SAD, 17.-19.08.2004

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
artificial immune systems; evolutionary algorithm; distribution network; optimal design

Sažetak
Planning of urban distribution networks is a complex problem. When the problem is being solved, it is commonly translated into combinatorial optimization problems, like single and multiple depot vehicle routing problems (MDVRP). Since such optimization problems are NP-hard, their exact solving is practically impossible. Evolutionary algorithms have been successful in solving those problems. Despite their relatively high efficiency, expected progress is related to obtaining better stability and lesser dependency on parameters. Moreover, there are several opposed criteria that the distribution networks must satisfy. For instance, there are limits on allowable voltage drops and conductor capacities. An algorithm for successful planning of the distribution networks should implement all of these criteria. In this paper a model of the evolutionary algorithm for solving the MDVRP is shown, based on analogy between the MDVRP and the distribution network planning problem. The algorithm includes an improvement inspired by artificial immune systems’ techniques. Some specifics of the distribution network design are implemented in the immune operator which is a part of the evolutionary algorithm, instead of applying them in post-optimization phase. Some practical examples have been used to investigate the performance of the proposed algorithm.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
0036046

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Davor Škrlec (autor)

Avatar Url Slavko Krajcar (autor)

Avatar Url Minea Skok (autor)

Avatar Url Hrvoje Keko (autor)


Citiraj ovu publikaciju:

Keko, Hrvoje; Skok, Minea; Škrlec, Davor; Krajcar, Slavko
Artificial Immune Systems in Evolutionary Method for Optimal Distribution Network Design // Proceedings of the Fourth IASTED International Conference on Modelling, Simulation and Optimization / Hamza, M.H. (ur.).
Kauai, Hawaii, SAD: IASTED/ACTA Press, 2004. str. 423-428 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Keko, H., Skok, M., Škrlec, D. & Krajcar, S. (2004) Artificial Immune Systems in Evolutionary Method for Optimal Distribution Network Design. U: Hamza, M. (ur.)Proceedings of the Fourth IASTED International Conference on Modelling, Simulation and Optimization.
@article{article, editor = {Hamza, M.}, year = {2004}, pages = {423-428}, keywords = {artificial immune systems, evolutionary algorithm, distribution network, optimal design}, title = {Artificial Immune Systems in Evolutionary Method for Optimal Distribution Network Design}, keyword = {artificial immune systems, evolutionary algorithm, distribution network, optimal design}, publisher = {IASTED/ACTA Press}, publisherplace = {Kauai, Hawaii, SAD} }
@article{article, editor = {Hamza, M.}, year = {2004}, pages = {423-428}, keywords = {artificial immune systems, evolutionary algorithm, distribution network, optimal design}, title = {Artificial Immune Systems in Evolutionary Method for Optimal Distribution Network Design}, keyword = {artificial immune systems, evolutionary algorithm, distribution network, optimal design}, publisher = {IASTED/ACTA Press}, publisherplace = {Kauai, Hawaii, SAD} }




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