DocumentCode :
605162
Title :
Closed Forms for the Fully-Connected Continuous Flock of Starlings Optimization Algorithm
Author :
Laudani, Antonino ; Fulginei, Francesco Riganti ; Salvini, Alessandro
Author_Institution :
Dept. of Eng., Roma Tre Univ., Rome, Italy
fYear :
2013
fDate :
10-12 April 2013
Firstpage :
45
Lastpage :
50
Abstract :
A new typology of swarm-based algorithms which employ analytical closed-forms written in the continuum is presented. The continuous algorithms are firstly introduced by making a simple translation of the numerical swarm-based algorithms into differential equations in the time domain (state equations). The integration of these state equations by using a time windowing approach makes available functions of time that are closed-forms suitable for describing the trajectories of the swarm members for a single time-window. The whole trajectory of a swarm member is then obtained by means of the union of all the paths which have been followed by that member. The proposed continuous algorithms have been validated on famous benchmark functions and the obtained results have been compared with those coming from the corresponding numerical algorithms.
Keywords :
benchmark testing; differential equations; particle swarm optimisation; swarm intelligence; time-domain analysis; analytical closed-forms; benchmark functions; continuous algorithms; fully-connected continuous flock; numerical algorithms; numerical swarm-based algorithms; starling optimization algorithm; state equations; swarm members; swarm-based algorithm typology; time domain differential equations; time windowing approach; Benchmark testing; Birds; Equations; Heuristic algorithms; Optimization; Stability analysis; Trajectory; Dynamic Systems; Flock-of-Starling Optimization; Particle Swarm Optimization; Swarm Intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-6421-8
Type :
conf
DOI :
10.1109/UKSim.2013.25
Filename :
6527387
Link To Document :
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