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An overview of the genetic algorithm and its use for finding extrema ─ with implementations in MATLAB (CROSBI ID 239459)

Prilog u časopisu | izvorni znanstveni rad

Hižak, Jurica ; Logožar, Robert An overview of the genetic algorithm and its use for finding extrema ─ with implementations in MATLAB // Tehnički glasnik, 10 (2016), 3-4; 55-70

Podaci o odgovornosti

Hižak, Jurica ; Logožar, Robert

engleski

An overview of the genetic algorithm and its use for finding extrema ─ with implementations in MATLAB

The paper outlines the main concepts of the genetic algorithm (GA) in a combined, educational-scientific style. Every step of the GA is first motivated by its biological paragon, then mathematically formalized and explained on simple examples, and finally supported by implementations in MATLAB. Two programs that use GA for the illustrative cases of finding functions’ extrema are shown. The authors conclude the paper by presenting the original use of GA in the Stochastic Iterated Prisoner Dilemma, which gave a new insight into this problem.

genetic algorithm, fitness function, function extrema, stochastic iterative prisoner dilemma

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Podaci o izdanju

10 (3-4)

2016.

55-70

objavljeno

1846-6168

1848-5588

Povezanost rada

nije evidentirano