MapElites.h File Reference

#include <dignea/generator/EIG.h>
#include <algorithm>
#include <array>
#include <cstdint>
#include <iterator>
#include <map>
#include <numeric>
#include <ranges>
#include <tuple>
#include <utility>
#include <vector>
#include "NumCpp.hpp"

Go to the source code of this file.

Classes
class	MapElites< IP, IS, OP, OS >
	Instance Generation Algorithm. Known as Meta-Evolutionary Algorithm (MapElites). This algorithm uses a Weighted Fitness Function (WFF) to evaluate how biased and diverse are the instances generated during the evolutionary process. The instances generated should be biased to the performance of the target algorithm in the portfolio but also should show some diversity between them. More...

Typedefs
using	FeatureInfo = std::tuple< float, float, int >
	FeatureInfo defines the information for a specific feature. More...
using	Features = std::map< int, FeatureInfo >
	Features defines the information a feature. More...
using	Key = std::array< float, 8 >
using	Bins = nc::NdArray< float >

Detailed Description

Author

Alejandro Marrero (amarr.nosp@m.erd@.nosp@m.ull.e.nosp@m.du.e.nosp@m.s)

Version

0.1

Date

2023-03-29

Copyright

Copyright (c) 2023

Typedef Documentation

FeatureInfo

using FeatureInfo = std::tuple<float, float, int>

FeatureInfo defines the information for a specific feature.

• Lower Limit of the values
• Upper Limit of the values
• Number of bins to create

Features

using Features = std::map<int, FeatureInfo>

Features defines the information a feature.

• ID of the feature.
• FeatureInfoType