关键词: 动态应急物流, 海上溢油, 多目标优化, 改进的鲸鱼算法

Abstract: According to the dynamic characteristics of oil films in the emergency response to oil spill, a multi-objective optimization model of maritime oil spill emergency resource scheduling is proposed, which takes into consideration both the objective of responsiveness and that of economical cost. This model also comprehensively respects the constraints and specifics of the response to oil spill, such as time-varying demand in emergency resources at the demand points, uncertainty in the state of the associated transportation networks and the interrelationship between decision making and external surroundings. According to the specifics of the model, a heuristic framework based on whale optimization algorithm is proposed. This algorithm makes use of the nonlinear convergence factor to overcome the disadvantage of the local optimum, into which the algorithm is easy to fall in the later stage. Moreover, the niche sharing mechanism is introduced to ensure the diversity of solutions. Finally, the validity and feasibility of the proposed model and approaches are verified through the simulation cases. The results show that this method can provide high-quality decision support for decision makers.

Key words: dynamic emergency logistics, maritime oil spill, multi-objective optimization, improved whale optimization algorithm