Title :
An overview of cuckoo-inspired intelligent algorithms and their applications
Author :
Bo Xing ; Wen-Jing Gao ; Marwla, Tshilidzi
Author_Institution :
Fac. of Eng. & the Built Environ. (FEBE), Univ. of Johannesburg, Johannesburg, South Africa
Abstract :
A number of cuckoo-inspired algorithms have been introduced recently in the literature. These procedures are based on the parasitic behavior observed in some cuckoo species, in combination with the Lévy flight behavior discovered in some birds and fruit flies. Thus far, many different applications have been reported. In this paper we provide a quick overview of the current stage of cuckoo-inspired algorithms and their various applications.
Keywords :
artificial intelligence; optimisation; Levy flight behavior; birds; cuckoo species; cuckoo-inspired intelligent algorithms; fruit flies; parasitic behavior; Algorithm design and analysis; Benchmark testing; Job shop scheduling; Optimization; Particle swarm optimization; Search problems; Software; cuckoo optimization algorithm (COA); cuckoo search (CS); modified cuckoo search (MFC); multi-objective cuckoo search (MOCS); optimization;
Conference_Titel :
Swarm Intelligence (SIS), 2013 IEEE Symposium on
Conference_Location :
Singapore
DOI :
10.1109/SIS.2013.6615163
