Abstract:

Based on the characteristics of gasoline blending optimization, an active constraints aided objective method was proposed. Active constraints were distinguished by the feasible solutions and infeasible solutions in the population of an evolutionary algorithm. With these active constraints, an active constraints aided objective was added to the gasoline blending optimization and the problem was transformed into a multi-objective constrained optimization problem.  This method incorporated the knowledge of active constraints into the selection operation of the evolutionary algorithm to improve its selection efficiency and guide its search away from local optima. The application of the strategy was demonstrated by a case study.

摘要：

根据油品调合问题的特点，提出了一种基于活跃约束条件辅助目标的求解约束优化问题的新方法。该方法根据进化算法种群中的可行解和不可行解共同辨识约束优化问题的活跃约束条件。然后，通过增加活跃约束条件辅助目标的方法将单目标约束优化问题转换为多目标约束优化问题进行求解。通过该方法，相应的进化算法可以利用油品调合问题的活跃约束条件信息，从而达到提高进化算法求解油品调合问题的搜索效率和避免局部最优解的目的。最后，通过仿真研究证实了该方法的有效性。