Interactive Genetic Algorithm

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Interactive Genetic Algorithm

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. Interactive computation methods can use different representations, both linear (as in traditional Genetic Algorithms ) and tree-like ones (as in Genetic Programming ).

SEE ALSO

Interactive Evolutionary Computation , Evolutionary Art , Karl Sims , Human-based Genetic Algorithm , Human-computer Interaction

REFERENCES

Cheng, Chihyung Derrick and Kosorukoff, Alex (2004), Interactive one-max problem allows to compare the performance of interactive and human-based genetic algorithms. ''Genetic and Evolutionary Computational Conference,'' GECCO-2004.

Takagi, H. (2000). Active user intervention in an EC Search. ''Proceesings of the JCIS 2000''.

Takagi, H. (2001). Interactive Evolutionary Computation: Fusion of the Capacities of EC Optimization and Human Evaluation. ''Proceesings of the IEEE 89, 9,'' pp. 1275-1296

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{Link without Title} - Interactive one-max problem allows to compare the performance of interactive and human-based genetic algorithms.