Title :
Using selection to improve particle swarm optimization
Author :
Angeline, Peter J.
Author_Institution :
Natural Selection Inc., Vestal, NY, USA
Abstract :
This paper describes a evolutionary optimization algorithm that is a hybrid based on the particle swarm algorithm but with the addition of a standard selection mechanism from evolutionary computations. A comparison is performed between the hybrid swarm and the ordinary particle swarm that shows selection to provide an advantage for some (but not all) complex functions
Keywords :
functions; genetic algorithms; complex functions; evolutionary computations; evolutionary optimization algorithm; hybrid swarm algorithm; particle swarm algorithm; selection mechanism; Acceleration; Equations; Evolutionary computation; Functional programming; Genetic mutations; Insects; Particle swarm optimization; Random variables; Search methods; World Wide Web;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.699327
