Sliding to the global optimum: How to benefit from non-global optima in multimodal multi-objective optimization

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Grimme Christian,Kerschke Pascal,Emmerich Michael T. M.,Preuss Mike,Deutz André H.,Trautmann Heike

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Reference4 articles.

1. M. T. M. Emmerich and A. H. Deutz, “Test Problems Based on Lamé Superspheres,” in Proceedings of the 4th International Conference on Evolutionary Multi-Criterion Optimization (EMO), LNCS, Vol. 4403 (Springer, 2007), pp. 922 –936.

2. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler, “Scalable Test Problems for Evolutionary Multiobjective Optimization,” in Evolutionary Multiobjective Optimization, AI & KP (Springer, 2005), pp. 105–145.

3. P. Kerschke and C. Grimme, “An Expedition to Multimodal Multi-Objective Optimization Landscapes,” in Proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO), LNCS, Vol. 10173 (Springer, 2017), pp. 329–343.

4. Y. Jin and B. Sendhoff, “Connectedness, Regularity and the Success of Local Search in Evolutionary Multi-Objective Optimization,” in The 2003 Congress on Evolutionary Computation (CEC), Vol. 3 (IEEE, 2003), pp. 1910–1917.

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