Partitioned Parallelization of MOEA/D for Bi-objective Optimization on Clusters. - Yuehong Xie; Weiqin Ying; Yu Wu 013; Bingshen Wu; Shiyun Chen; Weipeng He (ISICA, 2015)

An Efficient and Universal Conical Hypervolume Evolutionary Algorithm in Three or Higher Dimensional Objective Space. - Weiqin Ying; Yuehong Xie; Xing Xu; Yu Wu 013; An Xu; Zhenyu Wang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

A Partitioning Parallelization with Hybrid Migration of MOEA/D for Bi-Objective Optimization on Message-Passing Clusters. - Yu Wu 013; Yuehong Xie; Weiqin Ying; Xing Xu; Zixing Liu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Global Pareto Optimality of Cone Decomposition of Bi-Objective Optimization. - Yu Wu 013; Bin Wu; Weiqin Ying; Yuehong Xie; Weipeng He (CSE/EUC (1), 2017)

A Conical Area Differential Evolution with Dual Populations for Constrained Optimization. - Bin Wu; Weiqin Ying; Yu Wu 013; Yuehong Xie; Zhenyu Wang (ISICA (2), 2017)

Universal partially evolved parallelization of MOEA/D for multi-objective optimization on message-passing clusters. - Weiqin Ying; Yuehong Xie; Yu Wu 013; Bingshen Wu; Shiyun Chen; Weipeng He (Soft Comput., 2017)

A Cone Decomposition Many-Objective Evolutionary Algorithm with Adaptive Direction Penalized Distance. - Weiqin Ying; Yali Deng; Yu Wu 013; Yuehong Xie; Zhenyu Wang; Zhiyi Lin (BIC-TA (1), 2018)

Multi-dimensional tree guided efficient global association for decomposition-based evolutionary many-objective optimization. - Weiqin Ying; Junjie Huang; Yu Wu 013; Yali Deng; Yuehong Xie; Zhenyu Wang; Zhiyi Lin (Inf. Sci., 2020)