iGECCO

  Aim and Scope As nature-inspired methods have evolved, it has become clear that optimising towards a quantified fitness function is not always feasible, particularly where part or all of the evaluation of a candidate solution is inherently subjective. This is particularly the case when applying search algorithms to problems such as the generation of art and music. In other more traditional application areas, optimising to a fitness function might result in a highly optimal solution that is not well suited to implementation in the real world. Incorporating human expertise into the optimisation process can yield useful results in both examples, and accordingly the work on interactive optimisation methods has matured in recent years. This workshop will provide an outlet for interactive optimisation research for the GECCO audience. Topics of interest include (but are not limited to):    * Interactive generation of solutions.  * Interactive evaluation of solutions.  * Psychological aspect