It is an unusual case to use MOPSO to optimize operation parameters of boiler in the field of boiler combustion optimization.
本论文提出的多目标粒子群算法优化锅炉可调运行参数在锅炉燃烧优化领域还不多见。
Through the example simulation, the result indicated that MOPSO in this paper works well to solve the problem of production planning and capacity planning of semiconductor.
通过实例仿真，结果表明本文的多目标粒子群算法求解半导体生产计划及能力计划多目标优化问题是可行的。
We formulated scenario based multi-objective stochastic programming model to describe the problem of capacity planning under uncertainty and applied improved Multi-Objective PSO (MOPSO) to solve it.
提出了基于场景的多目标随机规划模型来构建不确定市场需求环境下的能力计划问题模型，并用改进的多目标粒子群优化算法求解。
We formulated scenario based multi-objective stochastic programming model to describe the problem of capacity planning under uncertainty and applied improved Multi-Objective PSO (MOPSO) to solve it.
提出了基于场景的多目标随机规划模型来构建不确定市场需求环境下的能力计划问题模型，并用改进的多目标粒子群优化算法求解。
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