Hyper-spherical inversion transformations in multi-objective evolutionary optimization

Hyper-spherical inversion transformations in multi-objective evolutionary optimization

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Article ID: iaor20084671
Country: Netherlands
Volume: 177
Issue: 3
Start Page Number: 1678
End Page Number: 1702
Publication Date: Mar 2007
Journal: European Journal of Operational Research
Authors: , ,
Keywords: decision theory: multiple criteria
Abstract:

Multi-objective evolutionary algorithms are widely considered to have two goals: convergence towards the true Pareto front and maintaining a diverse set of solutions. The primary concern here is with the first goal of convergence, in particular when one or more variables must converge to a constant value. Using a number of well known test problems, the difficulties that are currently impeding convergence are discussed and then a new method is proposed that transforms the decision space using the geometric properties of hyper-spherical inversions to converge towards/onto the true Pareto front. Future extensions of this work and its application to multi-objective optimisation is discussed.

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