IND-NIMBUS is aimed at solving nonlinear multiobjective optimization problems and it can be used for solving real-world applications. It is based on interaction between a human decision maker who interactively directs the search for the most preferred trade-off solution (also known as Pareto optimal solutions). IND-NIMBUS contains implementations of different interactive multiobjective optimization methods. In addition, different ways of visualizing the trade-off solutions obtained are included.