`culebra.solution` module¶

Solution module.

This module provides several solution and species implementations for several problems. Currently, the following sub-modules are available:

abc: Abstract base classes needed for each type of metaheuristic developed as a culebra’s Trainer
feature_selection: Solutions and species defined for feature-selection problems.
parameter_optimization: Solutions and species targeted for parameter optimization problems.
tsp: Solutions and species for the traveling salesman problem.

This work is supported by projects New Computing Paradigms and Heterogeneous Parallel Architectures for High-Performance and Energy Efficiency of Classification and Optimization Tasks on Biomedical Engineering Applications (HPEE-COBE), with reference PGC2018-098813-B-C31, and Advanced Methods of Biomedical Data Analysis and Brain Modeling Optimized for High-Performance and Energy-Efficient Computing (HPEEC-BIOBRAIN), with reference PID2022-137461NB-C31, both funded by the Spanish Ministerio de Ciencia, Innovación y Universidades, and by the European Regional Development Fund (ERDF).