Topological Optimization of Oil-gas Gathering and Transforming System with Hybrid Algorithm

In this paper, a topological optimization mathematical model of oil-gas gathering and transforming system is founded, and the computational complexity is discussed. According to the problem characteristics, it is solved by hybrid evolutionary algorithm in which conventional local-search optimization technique and GA are combined, and the negative effect of initial value given for optimization result in heuristic method is avoided. A project instance indicates that the method given in this paper is superior to conventional heuristic one.