An overview of the genetic algorithm and its use for finding extrema - with implementations in MATLABReport as inadecuate




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Technical Journal, Vol.10 No.3-4 December 2016. -

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 illustra-tive 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



Author: Jurica Hižak - orcid.org-0000-0002-8394-5581 ; Sveučilište Sjever, Varaždin, Hrvatska Robert Logožar - orcid.org-0000-0003-3

Source: http://hrcak.srce.hr/



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