ǂA ǂnovel hybrid self-adaptive bat algorithm

Iztok Fister (Avtor), Simon Fong (Avtor), Janez Brest (Avtor), Iztok Fister (Avtor)

Povzetek

Nature-inspired algorithms attract many researchers worldwide for solving the hardest optimization problems. One of the newest members of this extensive family is the bat algorithm. To date,many variants of this algorithm have emerged for solving continuous as well as combinatorial problems. One of the more promising variants, a self-adaptive bat algorithm, has recently been proposed that enables a self-adaptation of its control parameters. In this paper, we have hybridized this algorithmusing differentDE strategies and applied these as a local search heuristics for improving the current best solution directing the swarm of a solution towards the better regions within a search space.The results of exhaustive experiments were promising and have encouraged us to invest more efforts into developing in this direction.

Ključne besede

algorithms;optimization;

Podatki

Jezik:	Angleški jezik
Leto izida:	2014
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UM FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
UDK:	004.4
COBISS:	17789206
ISSN:	1537-744X
Št. ogledov:	1374
Št. prenosov:	316
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	algoritmi;optimizacija;
URN:	URN:SI:UM:
Vrsta dela (COBISS):	Znanstveno delo
Strani:	str. 1-12
Zvezek:	ǂID ǂ709738
Čas izdaje:	2014
DOI:	10.1155/2014/709738
ID:	10842812