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Found 5 papers, 0 papers with code
A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration
Although both models have been investigated in detail, a direct comparison has not yet been made, since the models are optimized using very different optimization methods in practice.
A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA
Especially in a Gray-Box Optimization (GBO) setting that allows for partial evaluations, i. e., the relatively efficient evaluation of a partial modification of a solution, GOMEA is known to excel.
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization
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, reducing the insight for decision makers.
GPU-Accelerated Parallel Gene-pool Optimal Mixing in a Gray-Box Optimization Setting
However, unless population sizes are large, this offers limited gains.
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms
When it comes to solving optimization problems with evolutionary algorithms (EAs) in a reliable and scalable manner, detecting and exploiting linkage information, i. e., dependencies between variables, can be key.
