`culebra.solution.abc` module¶

Abstract base classes for solutions for different metaheuristics.

The abc module provides solutions targeted for different metaheuristics. Currently, the following are defined:

An Ant class, which adds the path handling stuff to the Solution class to support the implementation of ant colony trainers.
An Individual class, which adds the crossover and mutation operators to the Solution class to support the implementation of evolutionary trainers.

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).

culebra.solution.abc module¶

`culebra.solution.abc` module¶