Page 90 - Fister jr., Iztok, Andrej Brodnik, Matjaž Krnc and Iztok Fister (eds.). StuCoSReC. Proceedings of the 2019 6th Student Computer Science Research Conference. Koper: University of Primorska Press, 2019
P. 90
ka 1: Primerjava optimizacije testne funkcije Ackley glede na D in N p.
umetnega ˇsportnega trenerja. PhD thesis, University of optimization. Journal of Applied Mathematics, 2013,
Maribor, Slovenia, 2017. 2013.
[5] I. Fister Jr., D. Fister, and X.-S. Yang. A hybrid bat [16] X.-S. Yang. A new metaheuristic bat-inspired
algorithm. Elektrotehniˇski vestnik, 80(1-2):1–7, 2013. algorithm. In Nature inspired cooperative strategies for
optimization (NICSO 2010), pages 65–74. Springer,
[6] Zˇ. Grajfoner. Primerjava razliˇcnih algoritmov po 2010.
vzoru obnaˇsanja netopirjev. University of Maribor,
Slovenia, 2019. [17] X.-S. Yang and M. Karamanoglu. Swarm intelligence
and bio-inspired computation: An overview. In X.-S.
[7] D. Karaboga. An idea based on honey bee swarm for Yang, Z. Cui, R. Xiao, A. H. Gandomi, and
numerical optimization. Technical report, TR06, M. Karamanoglu, editors, Swarm Intelligence and
Department of Computer Engineering, Engineering Bio-Inspired Computation, pages 3 – 23. Elsevier,
Faculty, Erciyes University, 2005. Oxford, 2013.
[8] K. Ljubiˇc and I. Fister Jr. Narava kot navdih
raˇcunalniˇstvu. Zˇivlj. teh., 65(15):14–17, 2014.
[9] K. Ljubiˇc and I. Fister Jr. Algoritem na osnovi
obnaˇsanja netopirjev. Presek, 42(3):26–28, 2015.
[10] S. Mirjalili, S. M. Mirjalili, and X.-S. Yang. Binary
bat algorithm. Neural Computing and Applications,
25(3-4):663–681, 2014.
[11] J.-S. Pan, T.-K. Dao, M.-Y. Kuo, M.-F. Horng, et al.
Hybrid bat algorithm with artificial bee colony. In
Intelligent Data analysis and its Applications, Volume
II, pages 45–55. Springer, 2014.
[12] A. K. Qin, V. L. Huang, and P. N. Suganthan.
Differential evolution algorithm with strategy
adaptation for global numerical optimization. IEEE
transactions on Evolutionary Computation,
13(2):398–417, 2008.
[13] T. Sureshkumar, M. Lingaraj, B. Anand, and
T. Premkumar. Hybrid firefly bat algorithm
(hfba)–based network security policy enforcement for
psa. International Journal of Communication Systems,
31(14):e3740, 2018.
[14] G. Vrbanˇciˇc, L. Brezoˇcnik, U. Mlakar, D. Fister, and
I. Fister Jr. Niapy: Python microframework for
building nature-inspired algorithms. J. Open Source
Softw., 3:613, 2018.
[15] G. Wang and L. Guo. A novel hybrid bat algorithm
with harmony search for global numerical
StuCoSReC Proceedings of the 2019 6th Student Computer Science Research Conference 90
Koper, Slovenia, 10 October
umetnega ˇsportnega trenerja. PhD thesis, University of optimization. Journal of Applied Mathematics, 2013,
Maribor, Slovenia, 2017. 2013.
[5] I. Fister Jr., D. Fister, and X.-S. Yang. A hybrid bat [16] X.-S. Yang. A new metaheuristic bat-inspired
algorithm. Elektrotehniˇski vestnik, 80(1-2):1–7, 2013. algorithm. In Nature inspired cooperative strategies for
optimization (NICSO 2010), pages 65–74. Springer,
[6] Zˇ. Grajfoner. Primerjava razliˇcnih algoritmov po 2010.
vzoru obnaˇsanja netopirjev. University of Maribor,
Slovenia, 2019. [17] X.-S. Yang and M. Karamanoglu. Swarm intelligence
and bio-inspired computation: An overview. In X.-S.
[7] D. Karaboga. An idea based on honey bee swarm for Yang, Z. Cui, R. Xiao, A. H. Gandomi, and
numerical optimization. Technical report, TR06, M. Karamanoglu, editors, Swarm Intelligence and
Department of Computer Engineering, Engineering Bio-Inspired Computation, pages 3 – 23. Elsevier,
Faculty, Erciyes University, 2005. Oxford, 2013.
[8] K. Ljubiˇc and I. Fister Jr. Narava kot navdih
raˇcunalniˇstvu. Zˇivlj. teh., 65(15):14–17, 2014.
[9] K. Ljubiˇc and I. Fister Jr. Algoritem na osnovi
obnaˇsanja netopirjev. Presek, 42(3):26–28, 2015.
[10] S. Mirjalili, S. M. Mirjalili, and X.-S. Yang. Binary
bat algorithm. Neural Computing and Applications,
25(3-4):663–681, 2014.
[11] J.-S. Pan, T.-K. Dao, M.-Y. Kuo, M.-F. Horng, et al.
Hybrid bat algorithm with artificial bee colony. In
Intelligent Data analysis and its Applications, Volume
II, pages 45–55. Springer, 2014.
[12] A. K. Qin, V. L. Huang, and P. N. Suganthan.
Differential evolution algorithm with strategy
adaptation for global numerical optimization. IEEE
transactions on Evolutionary Computation,
13(2):398–417, 2008.
[13] T. Sureshkumar, M. Lingaraj, B. Anand, and
T. Premkumar. Hybrid firefly bat algorithm
(hfba)–based network security policy enforcement for
psa. International Journal of Communication Systems,
31(14):e3740, 2018.
[14] G. Vrbanˇciˇc, L. Brezoˇcnik, U. Mlakar, D. Fister, and
I. Fister Jr. Niapy: Python microframework for
building nature-inspired algorithms. J. Open Source
Softw., 3:613, 2018.
[15] G. Wang and L. Guo. A novel hybrid bat algorithm
with harmony search for global numerical
StuCoSReC Proceedings of the 2019 6th Student Computer Science Research Conference 90
Koper, Slovenia, 10 October