Content deleted Content added
mNo edit summary |
adding links to references using Google Scholar |
||
Line 9:
|volume= 7
|pages= 4661–4666
|url=http://www.academia.edu/download/3930081/imperialistic_competitive_algorithm__ica__ieee_cec_2007.pdf
}}</ref><ref name=ICA_2014_Survey>{{cite journal
|last1= Hosseini
Line 19 ⟶ 20:
|volume=24
|pages=1078–1094
|url=https://www.sciencedirect.com/science/article/pii/S1568494614003895
}}</ref> Like most of the methods in the area of [[evolutionary computation]], ICA does not need the gradient of the function in its optimization process. From a specific point of view, ICA can be thought of as the social counterpart of [[genetic algorithms]] (GAs). ICA is the mathematical model and the computer simulation of human [[social evolution]], while GAs are based on the [[biological evolution]] of species.
| |||