Study on Water Pollution Diffusion by Artificial Immunity Optimization Algorithm

Artificial immune algorithm is a new bionic algorithms, it becomes a hot spot. Artificial immune algorithm has self-adjustment ability and adaptive capacity of the environment and can deal with complex optimization problems in parallel. Immune algorithm takes concentration and affinity as standards. Thus low concentration, high-fit individuals have more breeding opportunities. As attention to the diversity of individuals of solution group, convergence of the algorithm is avoided. Select the test function to simulate diffusion experiment, the results showed that the immune algorithm is easy to achieve stable and good solution, it can accurately reflect the mix of major pollutants, the proliferation of laws. The algorithm provided a analysis tools for environmental capacity of water pollutants for the river basin to identify and volume control, and sustainable utilization of water resources.