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The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population size sensitivity how much a genetic program's efficiency varies with population size is correlated with problem complexity. An analysis of population sizes was conducted using a unimodal, bimodal and a multi-modal problem with varying levels of difficulty. Specifically we show that a unimodal and bimodal anddoi:10.1145/1143997.1144166 dblp:conf/gecco/PiszczS06b fatcat:a5fnlwcuk5c6defczdn6w3nt4i