pulsatrix::Individual< Genotype, FitnessT > Struct Template Reference

A single candidate solution in a genetic algorithm population. More...

#include <individual.hpp>

Public Attributes
Genotype	genes
FitnessT	fitness {}

Detailed Description

template<typename Genotype, typename FitnessT = double>
struct pulsatrix::Individual< Genotype, FitnessT >

A single candidate solution in a genetic algorithm population.

Template Parameters

Genotype	The candidate solution's own representation (e.g. std::vector<double>).
FitnessT	The fitness value's type (default: double, single-objective, maximized).

Note

Compile-time template design (Decision Point 4, campaign_exai_dl_library_evolutionary_deep_learning, resolved 2026-09-27): DEAP's creator.create dynamically synthesizes an Individual class at runtime to work around Python's lack of compile-time generics – a plain templated aggregate expresses the same concept at compile time, with zero runtime class-synthesis cost. GA operators (selection.hpp) sit in this campaign's hottest inner loop (per-individual, per-generation), so static polymorphism is the deliberate default here, unlike DeviceBackend's runtime dispatch (which is unavoidable there – a Tensor doesn't know its device until runtime; a GA operator's identity is fixed at algorithm-design time).

Member Data Documentation

fitness

template<typename Genotype , typename FitnessT = double>

FitnessT pulsatrix::Individual< Genotype, FitnessT >::fitness {}

genes

template<typename Genotype , typename FitnessT = double>

Genotype pulsatrix::Individual< Genotype, FitnessT >::genes

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The documentation for this struct was generated from the following file:

• include/pulsatrix/individual.hpp