机译:海上风电场预防性维修计划的约束非线性多目标优化
The Logistics Institute-Asia Pacific, National University of Singapore, Singapore,Institute for Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom,Department of Management Science and Engineering, Shanghai University, Shanghai China;
Department of Econometrics and Business Statistics, Monash University, Victoria, Australia,Institute for Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom,Department of Mathematical Sciences, University of Liverpool, Liverpool, United Kingdom,Department of Management Science and Engineering, Shanghai University, Shanghai China;
Institute for Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom,Institute for Risk and Reliability, Leibniz Universitat Hannover, Hannover, Germany,School of Civil Engineering & Shanghai Institute of Disaster Prevention and Relief, Tongji University, China;
Department of Management Science and Engineering, Shanghai University, Shanghai China;
Reliability; Maintenance; Scheduling; Cost parameters; Offshore wind farms; Multi-objective Programming;
机译:基于可靠性和成本的模糊方法,用于优化海上风电场的预防性维护计划
机译:考虑海上风电场的不确定性,机会受到AGC单位派遣的动态优化方法
机译:使用遗传算法进行海上风电场的运营和维护资产的多目标优化
机译:具有唤醒损失的海上风电场的最佳预防性维护时间窗口
机译:通过使用数学方法安排预防性维护和关键组件的更换,优化风电场的维护成本。
机译:海上风电场(OWF)对常见的海岸蟹Carcinus maenas的影响:Lillgrund海上风电场(瑞典)的标记试验
机译:多目标优化方法在海上风电场选址中的应用