Jezik: | Slovenski jezik |
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Leto izida: | 2008 |
Tipologija: | 1.01 - Izvirni znanstveni članek |
Organizacija: | UM FERI - Fakulteta za elektrotehniko, računalništvo in informatiko |
Založnik: | Elektrotehniška zveza Slovenije |
UDK: | 004.89.021 |
COBISS: | 12933654 |
ISSN: | 0013-5852 |
Št. ogledov: | 766 |
Št. prenosov: | 29 |
Ocena: | 0 (0 glasov) |
Metapodatki: |
Sekundarni jezik: | Angleški jezik |
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Sekundarni naslov: | A study in self-adaptation of control parameters in the DEMOwSA algorithm |
Sekundarni povzetek: | In this paper we present an experimental analysis showing that the self-adaptation of control parameters plays an important role in the multiobjective optimization process (refer to Figure I for notion of multiobjective optimality). Experimental results of a self-adaptive differential evolution algorithm are evaluated on the set of benchmark functions provided for the CEC 2007 Special session on Performance Assessment & Competition on Multi-objective Optimization Algorithms, as seen in Tables 2-7. Self-adaptation is proven to statistically outperform fixed parameters, using t-test on the empirical results in these tables. The values of control parameters are encoded in each individual (see Figure 2) and changed during the optimization process. They depend on the nature of the problem being solved, as can be seen in Table I and Figures 3 and 4 which show how using self-adaptation good control parameters are obtained to improve the search results. |
Sekundarne ključne besede: | evolutionary computation;differential evolution;multi-objective optimization;self-adaptation; |
URN: | URN:NBN:SI |
Vrsta dela (COBISS): | Delo ni kategorizirano |
Strani: | str. 223-228 |
Letnik: | ǂLetn. ǂ75 |
Zvezek: | ǂšt. ǂ4 |
Čas izdaje: | 2008 |
ID: | 1735580 |