A class of nonlinear multi-objective mixed integer programming model for oil and gas portfolio and algorithm solution

This paper is concerned with the oil & gas assets portfolio. A multi-objective portfolio model of studied from two perspectives—scale and revenue. Considering nonlinear integer constraints in model, a class mixed programming established. The weight solved by support vector machine model. hybrid genetic algorithm, which uses position displacement strategy particle swarm optimizer as mutation operation, applied to optimization Finally, examples are verify effectiveness algorithm.