Pregled bibliografske jedinice broj: 391602
The New Negative Slope Coefficient Measure
The New Negative Slope Coefficient Measure // Proceedings of the 10th WSEAS International Conference on Evolutionary Computing, EC'09
Prag: WSEAS Press, 2009. str. 96-101 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 391602 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The New Negative Slope Coefficient Measure
Autori
Picek, Stjepan ; Golub, Marin
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 10th WSEAS International Conference on Evolutionary Computing, EC'09
/ - Prag : WSEAS Press, 2009, 96-101
ISBN
978-960-474-067-3
Skup
10th WSEAS International Conference on Evolutionary Computing, EC'09
Mjesto i datum
Prag, Češka Republika, 23.03.2009. - 25.03.2009
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Genetic Algorithm ; Unitation ; Fitness Landscape ; Negative Slope Coefficient ; Hardness
Sažetak
When is a problem easy or difficult for a genetic algorithm? This work focuses on unitation functions as tests for the efficiency of a genetic algorithm in reaching an optimal solution. We research the effectiveness of the Negative Slope Coefficient Measure (NSC measure) in finding difficult problems and present flaws of such a measure. In summary, we present a new measure for defining the hardness of a problem, the new NSC, based on the Fitness Landscape ; experimentally we demonstrate the efficacy of the method and compare it with the performance measure achieved by real runs. Finally we propose new steps for development of the method.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0362980-1921 - Računalne okoline za sveprisutne raspodijeljene sustave (Srbljić, Siniša, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
