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See detailAsymmetric quadratic landscape approximation model
Tantar, Alexandru-Adrian UL; Tantar, Emilia UL; Schütze, O.

in GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference (2014)

This work presents an asymmetric quadratic approximation model and an ε-archiving algorithm. The model allows to construct, under local convexity assumptions, descriptors for local optima points in ... [more ▼]

This work presents an asymmetric quadratic approximation model and an ε-archiving algorithm. The model allows to construct, under local convexity assumptions, descriptors for local optima points in continuous functions. A descriptor can be used to extract confidence radius information. The ε-archiving algorithm is designed to maintain and update a set of such asymmetric descriptors, spaced at some given threshold distance. An in-depth analysis is conducted on the stability and performance of the asymmetric model, comparing the results with the ones obtained by a quadratic polynomial approximation. A series of different applications are possible in areas such as dynamic and robust optimization. © 2014 ACM. [less ▲]

Detailed reference viewed: 84 (4 UL)
See detailEVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II
Schütze, O.; Coello, C. A. C.; Bouvry, Pascal UL et al

Book published by Springer (2012)

Detailed reference viewed: 78 (0 UL)