CAJ | 학술논문

为了将决策者的偏好综合到多目标问题求解过程中，提出了一种偏好多目标蜂群优化算法PMAB－CA．在PMABCA中，给出了一种新的偏好距离计算方法，基于非支配等级与偏好距离定义了适应度分配函数，并引入了归档集用于非支配解的存储．为了清除非支配集中多余的解，提出了改进的偏好拥挤距离算子．针对经典函数优化问题的计算结果表明，PMABCA可以在输出完整Pareto前端的基础上，确保输出大量符合偏好的最优解．将PMABCA应用于过热汽温控制系统PID参数优化问题，仿真结果表明，新算法的结果更便于决策者做出合理决策．
위료장결책자적편호종합도다목표문제구해과정중，제출료일충편호다목표봉군우화산법PMAB－CA．재PMABCA중，급출료일충신적편호거리계산방법，기우비지배등급여편호거리정의료괄응도분배함수，병인입료귀당집용우비지배해적존저．위료청제비지배집중다여적해，제출료개진적편호옹제거리산자．침대경전함수우화문제적계산결과표명，PMABCA가이재수출완정Pareto전단적기출상，학보수출대량부합편호적최우해．장PMABCA응용우과열기온공제계통PID삼수우화문제，방진결과표명，신산법적결과경편우결책자주출합리결책．
In order to incorporate the decision maker's preference into multiobjective optimization a preference-based multiobjective artificial bee colony algorithm PMABCA is proposed.In the proposed algorithm a novel reference point based preference expression method is addressed.The fitness assignment function is defined based on the nondominated rank and the newly defined preference distance.An archive set is introduced for saving the nondominated solutions and an improved crowding-distance operator is addressed to remove the extra solutions in the archive.The experimental results of two benchmark test functions show that a preferred set of solutions and some other non-preference solutions are achieved simultaneously.The simulation results of the proportional-integral-derivative PID parameter optimization for superheated steam temperature verify that the PMABCA is efficient in aiding to making a reasonable decision.