Performances Assessment of MOMA-Plus Method on Multiobjective Optimization Problems

Alexandre Som, Kounhinir Some, Abdoulaye Compaore, Blaise Some


This work is devoted to evaluate the performances of the MOMA-plus method in solving multiobjective optimization problems. This assessment is doing on the complexity of its algorithm, the convergence and the diversity of solutions in relation to the Pareto front. All these parameters were evaluated on non-linear multiobjective test problems and obtained solutions are compared with those provided by the NSGA-II method. This comparative study made it possible to
highlight the performances of MOMA-plus method for solving non-linear multiobjective problems.


Multiobjective optimization, MOMA-plus method, Performances assessment

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