APA 6th Edition Johanyák, Z.C. (2017). A modified particle swarm optimization algorithm for the optimization of a fuzzy classification subsystem in a series hybrid electric vehicle. Tehnički vjesnik, 24 (Supplement 2), 295-301. https://doi.org/10.17559/TV-20151021202802
MLA 8th Edition Johanyák, Zsolt Csaba. "A modified particle swarm optimization algorithm for the optimization of a fuzzy classification subsystem in a series hybrid electric vehicle." Tehnički vjesnik, vol. 24, br. Supplement 2, 2017, str. 295-301. https://doi.org/10.17559/TV-20151021202802. Citirano 08.03.2021.
Chicago 17th Edition Johanyák, Zsolt Csaba. "A modified particle swarm optimization algorithm for the optimization of a fuzzy classification subsystem in a series hybrid electric vehicle." Tehnički vjesnik 24, br. Supplement 2 (2017): 295-301. https://doi.org/10.17559/TV-20151021202802
Harvard Johanyák, Z.C. (2017). 'A modified particle swarm optimization algorithm for the optimization of a fuzzy classification subsystem in a series hybrid electric vehicle', Tehnički vjesnik, 24(Supplement 2), str. 295-301. https://doi.org/10.17559/TV-20151021202802
Vancouver Johanyák ZC. A modified particle swarm optimization algorithm for the optimization of a fuzzy classification subsystem in a series hybrid electric vehicle. Tehnički vjesnik [Internet]. 2017 [pristupljeno 08.03.2021.];24(Supplement 2):295-301. https://doi.org/10.17559/TV-20151021202802
IEEE Z.C. Johanyák, "A modified particle swarm optimization algorithm for the optimization of a fuzzy classification subsystem in a series hybrid electric vehicle", Tehnički vjesnik, vol.24, br. Supplement 2, str. 295-301, 2017. [Online]. https://doi.org/10.17559/TV-20151021202802
APA 6th Edition Johanyák, Z.C. (2017). Modificirani algoritam optimizacije roja čestica za optimizaciju fuzzy podsustava klasifikacije u serijskom hibridnom električnom vozilu. Tehnički vjesnik, 24 (Supplement 2), 295-301. https://doi.org/10.17559/TV-20151021202802
MLA 8th Edition Johanyák, Zsolt Csaba. "Modificirani algoritam optimizacije roja čestica za optimizaciju fuzzy podsustava klasifikacije u serijskom hibridnom električnom vozilu." Tehnički vjesnik, vol. 24, br. Supplement 2, 2017, str. 295-301. https://doi.org/10.17559/TV-20151021202802. Citirano 08.03.2021.
Chicago 17th Edition Johanyák, Zsolt Csaba. "Modificirani algoritam optimizacije roja čestica za optimizaciju fuzzy podsustava klasifikacije u serijskom hibridnom električnom vozilu." Tehnički vjesnik 24, br. Supplement 2 (2017): 295-301. https://doi.org/10.17559/TV-20151021202802
Harvard Johanyák, Z.C. (2017). 'Modificirani algoritam optimizacije roja čestica za optimizaciju fuzzy podsustava klasifikacije u serijskom hibridnom električnom vozilu', Tehnički vjesnik, 24(Supplement 2), str. 295-301. https://doi.org/10.17559/TV-20151021202802
Vancouver Johanyák ZC. Modificirani algoritam optimizacije roja čestica za optimizaciju fuzzy podsustava klasifikacije u serijskom hibridnom električnom vozilu. Tehnički vjesnik [Internet]. 2017 [pristupljeno 08.03.2021.];24(Supplement 2):295-301. https://doi.org/10.17559/TV-20151021202802
IEEE Z.C. Johanyák, "Modificirani algoritam optimizacije roja čestica za optimizaciju fuzzy podsustava klasifikacije u serijskom hibridnom električnom vozilu", Tehnički vjesnik, vol.24, br. Supplement 2, str. 295-301, 2017. [Online]. https://doi.org/10.17559/TV-20151021202802
Sažetak Particle swarm optimization (PSO) based optimization algorithms are simple and easily implementable techniques with low computational complexity, which makes them good tools for solving large-scale nonlinear optimization problems. This paper presents a modified version of the original method by combining PSO with a local search technique at the end of each iteration cycle. The new algorithm is applied for the task of parameter optimization of a fuzzy classification subsystem in a series hybrid electric vehicle (SHEV) aiming at the reduction of the harmful pollutant emission. The new method ensured a better fitness value than either the original PSO algorithm or the clonal selection based artificial immune system algorithm (CLONALG) by using similar parameters.