  In information retrieval research; Genetic Algorithms (GA) can be used to
find global solutions in many difficult problems. This study used different
similarity measures (Dice, Inner Product) in the VSM, for each similarity
measure we compared ten different GA approaches based on different fitness
functions, different mutations and different crossover strategies to find the
best strategy and fitness function that can be used when the data collection is
the Arabic language. Our results shows that the GA approach which uses
one-point crossover operator, point mutation and Inner Product similarity as a
fitness function is the best IR system in VSM.
