In this article, we address the problem of efficiently computing finite-size approximations of the set of E-locally optimal solutions of a given multiobjective optimization problem (MOP). Such sets are in particular interesting in the context of multiobjective multimodal optimization (MMO).
C. Hernández, A. E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann and O. Schütze, "An Evolutionary Approach for the Computation of E-Locally Optimal Solutions for Multiobjective Multimodal Optimization," in IEEE Transactions on Evolutionary Computation, vol. 30, no. 4, pp. 1747-1760, Aug. 2026