CAJ | 학술논문

以节能、经济、环保三大原则为目标,给出多目标优化调度模型,用多目标粒子群优化算法对模型进行求解。避免人为设定目标满意度和协调度定义中的理想值,摒弃传统算法中仅以协调度为目标进行问题转化的思路,将满意度约束合理融入协调度,实现模型转化。算例证明,改进的方法能够提高决策方案的可行性,有效减轻决策者负担,适用于多目标优化调度。
이절능、경제、배보삼대원칙위목표,급출다목표우화조도모형,용다목표입자군우화산법대모형진행구해。피면인위설정목표만의도화협조도정의중적이상치,병기전통산법중부이협조도위목표진행문제전화적사로,장만의도약속합리융입협조도,실현모형전화。산예증명,개진적방법능구제고결책방안적가행성,유효감경결책자부담,괄용우다목표우화조도。
Taking energy-saving,environmental protection and economic principles as objectives,an optimal multi-objective scheduling model and multi-objective particle swarm optimization algorithm （MOPSO） are presented. Traditionally,only coordination degree was considered as the final target for transforming the multi-objective optimization problem into a single-objective one. In this paper,model is improved by adding the satisfaction requirements with coordination degree,and removing the ideal value used in the definition of satisfaction and coordination. In such a way,the feasibility of decision-making is improved,and the decision burden of decision-makers is alleviated effectively. Results of the case study proves that the improved method proposed can be suitable to adopt in the multi-objective optimization dispatch.