CAJ | 학술논문

针对堆石坝工程物料装运机械组合优化问题的复杂性，建立了装运机械的多目标非线性组合优化模型（MOOM）．进一步地，把加权法和惩罚函数引入到带收缩因子的粒子群算法中，提出了一种新的求解多目标非线性组合优化问题的混合粒子群算法（MI-HPSO）．该算法具有概念简单、参数设置少、收敛速度快及全局搜索能力强的特点．实证研究表明，MI-HPSO为解决物料装运机械MOOM优化模型提供了有效的决策方案．
침대퇴석패공정물료장운궤계조합우화문제적복잡성，건립료장운궤계적다목표비선성조합우화모형（MOOM）．진일보지，파가권법화징벌함수인입도대수축인자적입자군산법중，제출료일충신적구해다목표비선성조합우화문제적혼합입자군산법（MI-HPSO）．해산법구유개념간단、삼수설치소、수렴속도쾌급전국수색능력강적특점．실증연구표명，MI-HPSO위해결물료장운궤계MOOM우화모형제공료유효적결책방안．
As the combinatorial optimization problem of material shipping machinery in constructing rock-fill dam is very complicated, a multi-objective nonlinear combination optimization model （MOOM） is proposed. Furthermore, weights method and penalty function are introduced to the standard particle swarm optimization with constriction factor. Along this line, a novel hybrid particle swarm algorithm （MI- HPSO） is proposed to solve the multi-objective nonlinear combination optimization problem. MI-HPSO algorithm involves less parameter and thus is much simpler, which leads to rapid speed of convergence and strong capability of global search. Finally, a case of rock-fill dam in China is studied and the exper- iment result shows that the MOOM model and MI-HPSO algorithm are efficient ways to solve machines combinatorial problem of material distribution in constructing rock-fill dam.