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Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization
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DOI：10.1007/s10479-015-2017-z.png)
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Abstract
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In recent decades, several multi-objective evolutionary algorithms have been successfully applied to a wide variety of multi-objective optimization problems. Along the way, several new concepts, paradigms and methods have emerged. Additionally, some authors have claimed that the application of multi-objective approaches might be useful even in single-objective optimization. Thus, several guidelines for solving single-objective optimization problems using multi-objective methods have been proposed. This paper offers an updated survey of the main methods that allow the use of multi-objective schemes for single-objective optimization. In addition, several open topics and some possible paths of future work in this area are identified.
Keywords:
Single-objective optimization
Multi-objective optimization
Constrained optimization
Multiobjectivization
Diversity preservation
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