Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of some approaches developed under these concepts is provided. Additionally, A comparison of four representative techniques using well-known test functions is shown. Finally, the analysis of the results obtained, based on three main points (quality, consistency and diversity) and some conclusions and future trends are also provided.
Citation:
Efr? Mezura-Montes, Carlos A. Coello Coello, "Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms," enc,pp.192, Fourth Mexican International Conference on Computer Science, 2003