Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
It is the important problem to prevent premature convergence in study of optimization algorithm. Especially, the adjustment of the threshold to select the useful solution is needed in the model using the Multi Agent System. We are developing a novel optimization algorithm inspired of the foraging behavior of the honey bee, which has the function to control the threshold. This is, in the algorithm, each agent has personal threshold to evaluate the usefulness of the solution, divides into exploration and exploitation of the solution and prevent premature convergence by adjusting the threshold autonomously. However, the study of the effects of time and space that are the most important factors in honey bee foraging behavior has not studied enough. So, as a preliminary stage of the development to the algorithm, we produced the model of honey bee foraging behavior.
