机译:一种基于参考点的非支配排序方法的进化多目标优化算法,第一部分:解决带盒约束的问题
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA;
genetic algorithms; sorting; EMO algorithms; MOEA/D methods; NSGA-II framework; NSGA-III; box constraints; evolutionary many-objective optimization algorithm; evolutionary multiobjective optimization algorithms; many-objective optimization problems; many-objective test problems; reference points; reference-point-based many-objective evolutionary algorithm; reference-point-based nondominated sorting approach; unconstrained problems; Educational institutions; Measurement; Optimization; Sociology; Statistics; Vectors; Zirconium; Evolutionary computation; Many-objective optimization; NSGA-III; evolutionary computation; large dimension; many-objective optimization; multi-criterion optimization; multicriterion optimization; non-dominated sorting; nondominated sorting;
机译:一种基于参考点的非支配排序方法的进化多目标优化算法,第二部分:处理约束并扩展为自适应方法
机译:进化多目标优化的一种非支配排序的有效方法
机译:多目标优化的基于自适应排序的进化算法
机译:多目标优化的精英非支配排序遗传算法的改进自适应方法
机译:旨在增强进化多目标和多目标优化:算法,性能指标和可视化技术
机译:求解带盒约束的大规模非光滑优化模型的主动集算法
机译:进化多目标优化的一种非支配排序的有效方法