- document
-
Scholman, Renzo (author)Even if a Multi-modal Multi-Objective Evolutionary Algorithm (MMOEA) is designed to find all locally optimal approximation sets of a Multi-modal Multi-objective Optimization Problem (MMOP), there is a risk that the found approximation sets are not smoothly navigable because the solutions belong to various niches, which reduces the insight for...master thesis 2022
- document
-
Scholman, R.J. (author), Bouter, Anton (author), Dickhoff, Leah R.M. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)Even if a Multi-modal Multi-Objective Evolutionary Algorithm (MMOEA) is designed to find solutions well spread over all locally optimal approximation sets of a Multi-modal Multi-objective Optimization Problem (MMOP), there is a risk that the found set of solutions is not smoothly navigable because the solutions belong to various niches,...conference paper 2022