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updated almost 3 years ago

snake evolution, GP by Maxim Vedenyov

Genetic programing example at snake evolution simulation. (evolution, snake, simulation)

P=mutation(P,psz,prm,h,tt,nn,loe,Lc)

P=random_population(psz,h,tt,nn,loe,Lc)

P_new=crossover(P,ii,psz,htt)

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updated 3 years ago

Travelling salesman problem with Genetic algorithm by Maxim Vedenyov

GUI and no GUI versions, with description in docx file (tsp, ga, travelling salesman p...)

gch=insert_begining_slow(g1,g2,cp)

gch=insert_begining_slow(g1,g2,cp)

ii=roulette_wheel_indexes(m,prn)

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updated 3 years ago

Camouflage evolution simulation with Genetic algorithm by Maxim Vedenyov

4x4 images dissapear on background. (camouflage, evolution, simulation)

ii=roulette_wheel_indexes(m,prn)

camouflage_ga.m

camouflage_ga_avi.m

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updated 3 years ago

honeycomb evolution by Maxim Vedenyov

get hexadron tessellation using random search (evolution, honeycomb, bee)

L=segment_rectange(a,b,r)

rcr=cross_perimeter(a,b,r)

honeycombs.m

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updated almost 4 years ago

Digital Karma: State Graphing by Aman Siddiqi

Evolutionary Simulation, Interaction Graph (data exploration, cellular, automata)

[structurenumberalone,fullstructurenumber]=structure_numb...

array=num2matrix(number,columns)

arrow(varargin)

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updated 8 years ago

gaevolve by Gabriele Lombardi

A simple but flexible tool to implement genetic algorithms (optimization, genetic algorithms, ga)

Genetic Algorithms

SCrossBits(num1,num2)

SDisp(sol,fit,pop,fits)

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