考虑碳限额的制造/再制造混合系统生产优化决策

Production optimization decision of manufacturing/remanufacturing under carbon emission permits

针对碳限额交易机制下制造/再制造混合系统生产决策问题,以最大化总利润和最小化碳排放量为目标,考虑客户需求差异以及碳减排技术投入成本和收益的影响,建立多周期产品制造/再制造混合系统生产决策优化模型.根据模型特点,结合多种群协同进化思想,设计一个多种群混合布谷鸟算法(multi-population hybrid cuckoo search,MPHCS)进行求解.提出一种自定义偏好随机游走策略,增加优秀个体对全局搜索的影响,以优秀个体指导种群进化,实现各子种群信息共享;采用自适应公式更新步长,防止陷入局部最优;同时引入基于Logistic映射的混沌搜索,用于对MPHCS算法全局搜索发现的优质解区域进行精细搜索,提高局部搜索能力.最后通过实例仿真验证了所提出模型和算法的合理性和有效性.

In view of the production decision-making problems of manufacturing/remanufacturing hybrid systems under the carbon cap-and-trade mechanism,a production decision-making optimization model of multi-cycle manufacturing/remanufacturing hybrid systems is proposed to maximize the total profit and minimize carbon emission considering the impact of customer demand differences and input costs and benefits of carbon emission reduction technology.According to the characteristics of the model and the thought of multi-population co-evolution,a multi-population hybrid cuckoo search(MPHCS)algorithm is designed to solve the problem.A custom preference random walk strategy is proposed to increase the influence of excellent individuals on global search,so as to guide population evolution and realize information sharing among subpopulations.The adaptive formula is used to update the step size to prevent falling into local optimum.Moreover,the chaos search based on Logistic mapping is introduced to carry out fine search on the high-quality solution region found by the global search of the MPHCS algorithm and improve local search ability.Finally,an example is given to illustrate the rationality and effectiveness of the proposed model and algorithm.