Interactive genetic algorithm

Interactive genetic algorithm (IGA) is defined as a genetic algorithm that use 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: Fushion of the Capacities of EC Optimization and Human Evaluation. Proceesings of the IEEE 89, 9, pp. 1275-1296

External links

  • [1] (http://www.derrickcheng.com/Project/HBGA) - Interactive one-max problem allows to compare the performance of interactive and human-based genetic algorithms.



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