This Special session will focus on the analysis and design of Genetic Representations and Operators in Evolutionary Algorithms (EAs).
In the past few years, EAs have been successfully applied to a large number of optimization problems. Nevertheless, most of the research deals with applying an EA to a new problem or applying a new EA to an existing one. In most of these studies, the focus is on showing how the EA was able to solve the problem (or find better solutions) and not why it was able to solve it.
The choice of a genetic representation and the associated operators cannot be made independently of each other as both of them are crucial to the efficiency of the optimisation algorithm. The question whether a certain representation leads to better performing EAs than an alternative representation (and the respective operators) is crucial to our understanding on why an EA can solve the problem successfully.
Best of AGRO 2007: Special Issue from the International Journal on Natural Computing Improved versions of selected papers accepted for presentation at AGRO-2007 will be invited for submission to a Special Issue of the International Journal on Natural Computing (Springer).
