Page 37 - Fister jr., Iztok, and Andrej Brodnik (eds.). StuCoSReC. Proceedings of the 2016 3rd Student Computer Science Research Conference. Koper: University of Primorska Press, 2016
P. 37
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discrepant social media profile for scientists. Genome
Biology, 15(7):1–3, 2014.
[13] A. K. Jain, J. Mao, and K. M. Mohiuddin. Artificial
neural networks: A tutorial. IEEE computer,
29(3):31–44, 1996.
[14] J. Kennedy and R. Eberhart. Particle swarm
optimization. In Neural Networks, 1995. Proceedings.,
IEEE International Conference on, volume 4, pages
1942–1948. IEEE, 1995.
[15] S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi.
Optimization by simmulated annealing. Science,
220(4598):671–680, 1983.
[16] J. R. Koza. Genetic programming: on the
programming of computers by means of natural
selection, volume 1. MIT press, 1992.
[17] R. K. Merton et al. The matthew effect in science.
Science, 159(3810):56–63, 1968.
[18] M. Mitchell. An introduction to genetic algorithms.
MIT press, 1998.
[19] G. Parchomovsky. Publish or perish. Michigan Law
Review, 98(4):926–952, 2000.
[20] M. Perc. The matthew effect in empirical data.
Journal of The Royal Society Interface,
11(98):20140378, 2014.
[21] A. P. Piotrowski, J. J. Napiorkowski, and P. M.
Rowinski. How novel is the ”novel” black hole
optimization approach? Information Sciences,
267:191–200, 2014.
[22] K. S¨orensen. Metaheuristics–the metaphor exposed.
International Transactions in Operational Research,
22(1):3–18, 2015.
[23] K. So¨rensen, M. Sevaux, and F. Glover. A history of
metaheuristics. In ORBEL29–29th Belgian conference
on Operations Research, 2015.
[24] D. Weyland. A rigorous analysis of the harmony search
algorithm: how the research community can be misled
by a ”novel” methodology. International Journal of
Applied Metaheuristic Computing, 1(2):50–60, 2010.
[25] D. Weyland. A critical analysis of the harmony search
algorithm–how not to solve sudoku. Operations
Research Perspectives, 2:97–105, 2015.
[26] X. Yao, Y. Liu, and G. Lin. Evolutionary
programming made faster. IEEE Transactions on
Evolutionary computation, 3(2):82–102, 1999.
StuCoSReC Proceedings of the 2016 3rd Student Computer Science Research Conference 37
Ljubljana, Slovenia, 12 October
discrepant social media profile for scientists. Genome
Biology, 15(7):1–3, 2014.
[13] A. K. Jain, J. Mao, and K. M. Mohiuddin. Artificial
neural networks: A tutorial. IEEE computer,
29(3):31–44, 1996.
[14] J. Kennedy and R. Eberhart. Particle swarm
optimization. In Neural Networks, 1995. Proceedings.,
IEEE International Conference on, volume 4, pages
1942–1948. IEEE, 1995.
[15] S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi.
Optimization by simmulated annealing. Science,
220(4598):671–680, 1983.
[16] J. R. Koza. Genetic programming: on the
programming of computers by means of natural
selection, volume 1. MIT press, 1992.
[17] R. K. Merton et al. The matthew effect in science.
Science, 159(3810):56–63, 1968.
[18] M. Mitchell. An introduction to genetic algorithms.
MIT press, 1998.
[19] G. Parchomovsky. Publish or perish. Michigan Law
Review, 98(4):926–952, 2000.
[20] M. Perc. The matthew effect in empirical data.
Journal of The Royal Society Interface,
11(98):20140378, 2014.
[21] A. P. Piotrowski, J. J. Napiorkowski, and P. M.
Rowinski. How novel is the ”novel” black hole
optimization approach? Information Sciences,
267:191–200, 2014.
[22] K. S¨orensen. Metaheuristics–the metaphor exposed.
International Transactions in Operational Research,
22(1):3–18, 2015.
[23] K. So¨rensen, M. Sevaux, and F. Glover. A history of
metaheuristics. In ORBEL29–29th Belgian conference
on Operations Research, 2015.
[24] D. Weyland. A rigorous analysis of the harmony search
algorithm: how the research community can be misled
by a ”novel” methodology. International Journal of
Applied Metaheuristic Computing, 1(2):50–60, 2010.
[25] D. Weyland. A critical analysis of the harmony search
algorithm–how not to solve sudoku. Operations
Research Perspectives, 2:97–105, 2015.
[26] X. Yao, Y. Liu, and G. Lin. Evolutionary
programming made faster. IEEE Transactions on
Evolutionary computation, 3(2):82–102, 1999.
StuCoSReC Proceedings of the 2016 3rd Student Computer Science Research Conference 37
Ljubljana, Slovenia, 12 October
