MONES transformation technique is applied to transform the problem of solving nonlinear equation systems into a bi-objec-tive optimization problem,and a dynamic crowding distance strategy of MNSGA-Ⅱ algorithm is included to dynamically calculate indi-vidual crowding distance in the process of population selection,which improves the diversity of Pareto front.In order to verify the per-formance of algorithm,thirty nonlinear equation systems are selected for testing NSGA-Ⅱ,dynamic NSGA-Ⅱ and MNSGA-Ⅱ algo-rithm based on MONES transformation technique.Experimental results show that MNSGA-Ⅱ algorithm based on MONES transforma-tion technique has a better root-found ratio and success rate.Finally,the Pareto front of three algorithms mentioned above is compared,and the uniformity and convergence of Pareto front of the proposed algorithm performs better than others'.
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