Status Quo of Gathering Network Planning

Gathering network planning is highly nonlinear, so how to optimize gathering network and build the model to improve its economic benefit are of great significance.In this paper, the application of neural networks, MDOD, hybrid genetic algorithms, hierarchical optimization method and dynamic programming in optimizing gathering network planning are introduced in detail and its developing trends are also pointed out, which are multiple objectives, greyness and fuzzification.Suggestions on gathering network planning are also put forward.The paper points out that a deep study of gathering network technique is the premise of choosing planning methods.