Interactive evolutionary computation: Difference between revisions

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===IGA===

An interactive genetic algorithm (IGA) is defined as a [[genetic algorithm]] that uses human evaluation. These algorithms belong to a more general category of Interactive evolutionary computation. The main application of these techniques include domains where it is hard or impossible to design a computational fitness function, for example, evolving images, music, various artistic designs and forms to fit a user's aesthetic preferences.<ref>{{cite journal | last1= khan | first1= Shahroz | last2 = Gunpinar | first2 = Erkan |last3 = Sener | first3=Bakir | title= GenYacht: An interactive generative design system for computer-aided yacht hull design | journal= Ocean Engineering | volume= 191|pages= 106462 |year=2019|doi= h10.1016/j.oceaneng.2019.106462}}</ref>. Interactive computation methods can use different representations, both linear (as in traditional [[genetic algorithms]]) and tree-like ones (as in [[genetic programming]]).

== See also ==