Study on Improving the Fitness Value of Multi-objective Evolutionary Algorithms

摘要

Pareto sort classification method is often used to compute the fitness value of evolutionary groups in multi-objective evolutionary algorithms.However this kind of computation may produce great selection pressure and result in premature convergence. To address this problem,an improved method to compute the fitness value of multi-objective evolutionary algorithms based on the relative relationship between objective function values is proposed in this paper, which improves the convergence and distribution of multi-objective evolutionary algorithms. Testing results of test functions show that the improved computation method has a higher ability of convergence and distribution than the evolutionary algorithm based on Pareto sort classification method.