Evolutionary many-objective optimization of hybrid electric vehicle control: From general optimization to preference articulation
R Cheng, T Rodemann, M Fischer… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Many real-world optimization problems have more than three objectives, which has
triggered increasing research interest in developing efficient and effective evolutionary …
triggered increasing research interest in developing efficient and effective evolutionary …
A framework for inverse surrogate modeling for fitness estimation applied to multi-objective evolutionary algorithms
Abstract Many-Objective Optimization Problems, or MaOPs, are complex optimization
problems with more than three objective functions. Traditional Multi-Objective Evolutionary …
problems with more than three objective functions. Traditional Multi-Objective Evolutionary …
Pareto optimization with small data by learning across common objective spaces
In multi-objective optimization, it becomes prohibitively difficult to cover the Pareto front (PF)
as the number of points scales exponentially with the dimensionality of the objective space …
as the number of points scales exponentially with the dimensionality of the objective space …
Learning Decision Variables in Many-Objective Optimization Problems
AL da Costa Oliveira, R Gusmão… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Traditional Multi-Objective Evolutionary Algorithms (MOEAs) have shown poor scalability in
solving Many-Objective Optimization Problems (MaOPs). The use of machine learning …
solving Many-Objective Optimization Problems (MaOPs). The use of machine learning …