Description: Inspired by the imperialist colonial competition mechanism, Atashpaz-Gargari and Lucas proposed a new intelligent optimization algorithm, Empire competition algorithm (ICA), in 2007. With GA, PSO, ABC and other biological behavior of swarm intelligence algorithm inspired by social behavior, ICA heuristic, an optimization method is formed by simulation of colonial assimilation mechanism and competition mechanism of the empire. ICA is also a swarm based optimization approach whose solution space consists of individuals called states. ICA divides the country into several subgroups, called empires. Within each Empire, ICA moves the non optimal country (colony) to the best country (the imperialist state) through the assimilation mechanism, which is similar to PSO. Imperial competition is the key to ICA, and ICA moves one or more colonies of the weakest Empire to other empires through imperial competition, allowing the Empire to interact with each other.
To Search:
File list (Check if you may need any files):
Chared ICA Code\AssimilateColonies.m
Chared ICA Code\BenchmarkFunction.m
Chared ICA Code\CreateInitialEmpires.m
Chared ICA Code\DisplayEmpires.m
Chared ICA Code\GenerateNewCountry.asv
Chared ICA Code\GenerateNewCountry.m
Chared ICA Code\ImperialistCompetitveAlgorithm_GlobalOptimizationStrategy.asv
Chared ICA Code\ImperialistCompetitveAlgorithm_GlobalOptimizationStrategy.m
Chared ICA Code\ImperialisticCompetition.m
Chared ICA Code\myrandint.m
Chared ICA Code\PossesEmpire.m
Chared ICA Code\PSOClass4.m
Chared ICA Code\Read ME.txt
Chared ICA Code\RevolveColonies.m
Chared ICA Code\testfunction11.m
Chared ICA Code\UniteSimilarEmpires.m
Chared ICA Code
Download