An advanced Multi-Objective Genetic Algorithm based on Borda number

When applied to Multi-Objective Decision Making (MODM), genetic algorithm is plagued with two problems: how to appreciate non-inferior solutions and how to store them. Using Borda number as the fitness of a chromosome, an advanced Multi-Objective Genetic Algorithm ( MOGA) is provided in this paper, which can solve these problems in an easier way; and with the characteristic of Genetic Algorithm (GA) of producing a number of feasible solutions, this approach is able to obtain the set of non-inferior solutions without information of the decision-maker's preferences. Finally, a simulated example to apply this algorithm to a multipurpose reservoir's operation is provided, indicating the feasibility and effectiveness of this advanced MOGA.