A Fuzzy-Dominance-Driven RMLS-BLGA and its Application in Traffic Route Guidance

In this paper, we study the fuzzification of the pareto dominance relation and its application in traffic route guidance. A generic ranking scheme is presented that assigns dominance degrees to any set of vectors in a scale-independent, nonsymmetric and set-dependent manner. Different fuzzy-based definitions of optimality and dominated solution are introduced. The corresponding extension of the RMLS-BLGA, so-called Fuzzy-Dominance-Driven RMLS-BLGA (FRMLS-BLGA), will be presented as well. To verify the usefulness of such an approach, the approach is tested on analytical test cases in order to show its validity . The solutions, provided by the proposed algorithm for the Traffic route guidance model,are promising when compared with an existing well-known algorithm.