137 citations · 139 across the 3 of their papers we have counts for
3 papers
math.OC2024
Accelerate Solving Expensive Scheduling by Leveraging Economical Auxiliary Tasks
Minshuo Li, Bo Liu, Bin Xin +2
To fully leverage the multi-task optimization paradigm for accelerating the solution of expensive scheduling problems, this study has effectively tackled three vital concerns. The…
cs.NE2021★ 2 cited
Multi-Space Evolutionary Search for Large-Scale Optimization
Liang Feng, Qingxia Shang, Yaqing Hou +2
In recent years, to improve the evolutionary algorithms used to solve optimization problems involving a large number of decision variables, many attempts have been made to simplify…
cs.NE2017★ 137 cited
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results
Bingshui Da, Yew-Soon Ong, Liang Feng +6
In this report, we suggest nine test problems for multi-task single-objective optimization (MTSOO), each of which consists of two single-objective optimization tasks that need to b…