source: cpp/frams/model/similarity/measure-greedy.h @ 1249

// This file is a part of Framsticks SDK.  http://www.framsticks.com/
// Copyright (C) 1999-2020  Maciej Komosinski and Szymon Ulatowski.
// See LICENSE.txt for details.

#ifndef _GREEDY_MEASURE_H
#define _GREEDY_MEASURE_H

#include "measure-mds-based.h"
#include "frams/genetics/geno.h"
#include "frams/model/model.h"
#include "simil-match.h"

#define TDN_SIZE 5


enum TDNELEMS2
{
        ORG_IND = 0,
        DEG = 1,
        NEUR_CONNS = 2,
        NEUROS = 3,
        FUZ_DEG = 4
};

class SimilMeasureGreedy : public SimilMeasureMDSBased
{
public:
        SimilMeasureGreedy();
        ~SimilMeasureGreedy(){};

        static int compareDegrees(const void *pElem1, const void *pElem2);
        static int compareFuzzyDegrees(const void *pElem1, const void *pElem2);
        static int compareConnsNo(const void *pElem1, const void *pElem2);
        static int getNOFactors();
        int setParams(std::vector<double> params);
        /// Interface to local parameters
        Param localpar;
        /// Table of weights for weighted distance function.
        /// Weights are for factors in the following order:
        /// [0]: m_iDV (difference in the number of vertices)
        /// [1]: m_iDD (difference in degrees over matching)
        /// [2]: m_iDN (difference in neurons over matching)
        /// [3]: m_dDG (difference in geometry over matching)
        /// @sa EvaluateDistance
        double m_adFactors[4];

        //Controls the depth of fuzzy neighbourhood 
        int fuzzyDepth;
        bool isFuzzy;

protected:
        double distanceForTransformation();
        double distanceWithoutAlignment();
        void prepareData();
        void beforeTransformation();
        void computeMatching();
        void copyMatching();
        void cleanData();

        int sortPartInfoTables();
        int countPartNeurons();
        int countPartDegrees();
        int countPartsDistance();

        void countFuzzyNeighb();
        void sortFuzzyNeighb();
        void getNeighbIndexes(int mod, int partInd, std::vector<int> &indexes);
        void fuzzyOrder();
        int createPartInfoTables();
        
        void _PrintArray(int *array, int base, int size);
        void _PrintArrayDouble(double *array, int base, int size);
        void _PrintDegrees(int i);
        void _PrintNeighbourhood(int i);
        void _PrintFuzzyNeighbourhood(int i);
        void _PrintSeamnessTable(std::vector<int> *pVector, int iCount);
        void _PrintPartsMatching();
        void saveIntermediateFiles();

        /// Number of parts of two creatures (index the same as for m_Mod).
        int m_aiPartCount[2];

        /// Difference between number of parts in organisms
        int m_iDV;

        /// Sum of absolute values of differences between matched part degrees
        int m_iDD;

        /// Sum of absolute values of differences between matched part 
        /// in neurons number.
        int m_iDN;
        //2 matrices of neighbourhood of parts - one for each genotype 

        /// Sum of Euclidean distances between matched parts
        /// Unmatched Parts have the distance measured to (0,0,0) (the middle of
        /// an organism)
        double m_dDG;

        /// Object that holds the matching of Parts.
        SimilMatching *m_pMatching;
        /// Object that holds temporary matching of Parts.
        SimilMatching *tempMatching;

        /// Type of 4 ints - describing one Part of the creature in
        /// its sorted table of degrees
        /// TDN[0] - original index of creature's Part (that is "i" from GetPart(i))
        /// TDN[1] - degree (number of adjacent joints) of one Part
        /// TDN[2] - number of NeuroConnections and Neurons belonging to one Part
        /// TDN[3] - number of Neurons of the Part
        /// TDN[4] - fuzzy degree
        typedef int TDN[5];

        /** 2 arrays holding information about compared organisms (one for each
        creature) of degree and neuro info for Parts.
        Index corresponds to the one in m_Mod
        m_aDegrees[i][j] is a TDN of the j-th Part of the i-th creature in m_Mod
        */
        TDN *m_aDegrees[2];

        //std::pair<TDN, double> *m_aDegrees[2];
        /// Holds information on all on-joint neurons. Only TDN[3] and TDN[4]
        /// are important (original index and degree are not important).
        TDN m_aOnJoint[2];

        /// Holds information on all neurons that are not placed neither on
        /// a joint nor on a part. Only TDN[3] and TDN[4]
        /// are important (original index and degree are not important).
        TDN m_aAnywhere[2];

        //array of parts neighbourhood
        int **m_Neighbours[2];
        //array of "fuzzy neigbourhood" for each of organisms. Dimensions: parts_num x fuzzyDepth
        float **m_fuzzyNeighb[2];

        /// Number of weights in the function which evaluates distance.
        static const int iNOFactors; 
};

#endif /* GREEDY_MEASURE_H */