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Our aim in this paper is to analyse the phenotypic effects (evolvability) ofdiverse coding conversion operators in an instance of the states basedevolutionary algorithm (SEA). Since the representation of solutions or theselection of the best encoding during the optimization process has been provedto be very important for the efficiency of evolutionary algorithms (EAs), wewill discuss a strategy of coupling more than one representation and differentprocedures of conversion from one coding to another during the search.Elsewhere, some EAs try to use multiple representations (SM-GA, SEA, etc.) inintention to benefit from the characteristics of each of them. In spite ofthose results, this paper shows that the change of the representation is also acrucial approach to take into consideration while attempting to increase theperformances of such EAs. As a demonstrative example, we use a two states SEA(2-SEA) which has two identical search spaces but different coding conversionoperators. The results show that the way of changing from one coding to anotherand not only the choice of the best representation nor the representationitself is very advantageous and must be taken into account in order towell-desing and improve EAs execution.

Do not Choose Representation just Change: An Experimental Study in States based EA