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Found 4 papers, 0 papers with code
NASA Science Mission Directorate Knowledge Graph Discovery
The size of the National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) is growing exponentially, allowing researchers to make discoveries.
Multi-layer local optima networks for the analysis of advanced local search-based algorithms
A Local Optima Network (LON) is a graph model that compresses the fitness landscape of a particular combinatorial optimization problem based on a specific neighborhood operator and a local search algorithm.
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations
Genetic programming is an often-used technique for symbolic regression: finding symbolic expressions that match data from an unknown function.
MATE: A Model-based Algorithm Tuning Engine
In contrast to most static (feature-independent) algorithm tuning engines such as irace and SPOT, our approach aims to derive the best parameter configuration of a given algorithm for a specific problem, exploiting the relationships between the algorithm parameters and the features of the problem.
