A new approach to target region based multiobjective evolutionary algorithms. - Yali Wang 002; Longmei Li; Kaifeng Yang; Michael T. M. Emmerich (CEC, 2017)

Multiobjective evolutionary algorithms based on target region preferences. - Longmei Li; Yali Wang 002; Heike Trautmann; Ning Jing; Michael Emmerich 001 (Swarm Evol. Comput., 2018)

Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms. - Yali Wang 002; Steffen Limmer; Markus Olhofer; Michael T. M. Emmerich; Thomas Bäck (CEC, 2019)

Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA. - Yali Wang 002; Michael Emmerich 001; André H. Deutz; Thomas Bäck (EMO, 2019)

Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search. - Yali Wang 002; Bas van Stein; Thomas Bäck; Michael Emmerich 001 (GECCO Companion, 2020)

Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones. - Yali Wang 002; André H. Deutz; Thomas Bäck; Michael Emmerich 001 (PPSN (2), 2020)

Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation. - Yali Wang 002; André H. Deutz; Thomas Bäck; Michael Emmerich 001 (SSCI, 2020)

A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling. - Yali Wang 002; Bas van Stein; Thomas Bäck; Michael Emmerich 001 (SSCI, 2020)

A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling. - Yali Wang 002; Bas van Stein; Michael T. M. Emmerich; Thomas Bäck (CoRR, 2020)

Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders. - Yali Wang 002; André H. Deutz; Thomas Bäck; Michael T. M. Emmerich (CoRR, 2020)

Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization. - Yali Wang 002; Steffen Limmer; Markus Olhofer; Michael Emmerich 001; Thomas Bäck (Swarm Evol. Comput., 2021)

Many-Criteria Dominance Relations. - André H. Deutz; Michael Emmerich 001; Yali Wang 002 (Many-Criteria Optimization and Decision Analysis, 2023)