The Human Evolutionary Model: A new approach for solving nonlinear optimization problems avoiding the problem of cycling
Oscar Montiel, Oscar Castillo, José Soria, Antonio Rodríguez-Díaz, Héctor Ruiz Arias, Roberto Sepúlveda · 2006
The aim of this paper is to give a method for reducing the problem of getting trapped in local optima (cycling), which is a common problem in evolutionary algorithms. For solving this problem we are proposing to use a Tabu method for avoiding already visited regions, this in combination with a novel fuzzy method that can handle imperfect knowledge in a broader way than Intuitionistic fuzzy logic does. This fuzzy method can manage non-contradictory, doubtful, and contradictory information provided by experts, providing a mediated solution, so we called it Mediative Fuzzy Logic.