Nearest better network for visualization of the fitness landscape

This paper proposes a general method for the visualization fitness landscapes. The method transforms the original fitness landscape to a 3D visualized network from the perspective of the optimization algorithms. This method can visualize the fitness landscapes of continuous problems of different dimensions, combinatorial problems and even the mixed integer problems. Experiments show that the proposed method can maintain most of the critical properties of problems, such as modality, ruggedness and neutrality.