48 citations · 134 across the 20 of their papers we have counts for
4 papers · 1 filter
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
Shengjie Ren, Zhijia Qiu, Chao Bian +2
In the real world, there exist a class of optimization problems that multiple (local) optimal solutions in the solution space correspond to a single point in the objective space. I…
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
Chao Bian, Shengjie Ren, Miqing Li +1
In the area of multi-objective evolutionary algorithms (MOEAs), there is a trend of using an archive to store non-dominated solutions generated during the search. This is because 1…
A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2)
Shengjie Ren, Chao Bian, Miqing Li +1
Evolutionary algorithms (EAs) have emerged as a predominant approach for addressing multi-objective optimization problems. However, the theoretical foundation of multi-objective EA…
Adapting Multi-objectivized Software Configuration Tuning
Tao Chen, Miqing Li
When tuning software configuration for better performance (e.g., latency or throughput), an important issue that many optimizers face is the presence of local optimum traps, compou…