Finding robust solutions for many-objective optimization using NSGA-III
The primary task of evolutionary multi-objective optimization (EMO) is to find the globally
best Pareto-optimal front. However, often decision makers (DMs) are not interested in …
best Pareto-optimal front. However, often decision makers (DMs) are not interested in …
Interpretable self-organizing map assisted interactive multi-criteria decision-making following Pareto-Race
The problem-solving task of the multi-criteria decision-making (MCDM) approach involves
decision makers'(DMs') interaction by incorporating their preferences to arrive at one or …
decision makers'(DMs') interaction by incorporating their preferences to arrive at one or …
Multi-objective robust optimization and decision-making using evolutionary algorithms
Evolutionary multi-objective optimization (EMO) algorithms are predominantly used for
solving multi-and many-objective optimization problems to arrive at the respective Pareto …
solving multi-and many-objective optimization problems to arrive at the respective Pareto …
Navigation Methods in Multiobjective Optimization
ME Nieminen - 2024 - jyx.jyu.fi
Multiobjective optimization is the minimization or maximization of multiple conflicting
objective functions. To make a distinction between multiple solutions to a multiobjective …
objective functions. To make a distinction between multiple solutions to a multiobjective …