future12356的博客

Model-based evolutionary algorithms: a short survey1、摘要本综述通过考虑使用模型的三种不同动机，简要回顾了一些有代表性的MBEAs。第一，使用模型最常见的动机是估计候选解的分布。第二，在进化多目标优化中，使用模型的动机之一是建立从目标空间到决策空间的逆模型。第三，当解决计算量大的问题时，模型可以作为适应度函数的替代品。2、引言MBEAs的思想是用 [ML模型](Machine Learning Models) 取代操作算子，候选解被用作每一代

An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems Li Y., Li L., Lin Q., Ming Z. (2021) An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems. In: Huang

An Improved Weighted Optimization-based Framework for Large-scale MOPs J. Zheng, L. Li, Q. Lin and Z. Ming, “An Improved Weighted Optimization-based Framework for Large-scale MOPs,” 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 2156-21

Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation L. Li, C. He, R. Cheng and L. Pan, “Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation,” 2021 IEEE Congress on Evolutionary Computation

LSMOF-2019 阅读笔记Accelerating Large-scale Multi-objective Optimization via Problem ReformulationHe C , Li L , Tian Y , et al. Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation[J]. IEEE Transactions on Evolutionary Computation,

A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problemsLiu R , Liu J , Li Y , et al. A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization

MOEA/D-RDGA Random-Based Dynamic Grouping Strategy for Large Scale Multi-objective OptimizationA. Song, Q. Yang, W. N. Chen, and J. Zhang, “A random-based dynamic grouping strategy for large scale multi-objective optimization,” in IEEE Congress on Evolu

A Symmetric Points Search and Variable Grouping Method for Large-scale Multi-objective OptimizationTang D , Wang Y , Wu X , et al. A Symmetric Points Search and Variable Grouping Method for Large-scale Multi-objective Optimization[C]// 2020 IEEE Congre

Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective OptimizationC. He, R. Cheng, Y. Tian and X. Zhang, “Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization,” 2020 IEEE Congress on Evolutionary Co

CCLSM 协同进化 大规模多目标优化算法

快速相互依赖识别算法 FII

协同进化解决大规模多目标优化问题CCGDE3