GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Advanced Engineering Informatics
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
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This paper presents the main multiobjective optimizationconcepts that have been used in evolutionary algorithms tohandle constraints in global optimization problems. A reviewof some approaches developed under these conceptsis provided. Additionally, A comparison of four representativetechniques using well-known test functions is shown.Finally, the analysis of the results obtained, based on threemain points (quality, consistency and diversity) and someconclusions and future trends are also provided.