5 citations · 19 across the 7 of their papers we have counts for
5 papers · 1 filter
Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows
Shengcai Liu, Ke Tang, Xin Yao
The Vehicle Routing Problem with Simultaneous Pickup-Delivery and Time Windows (VRPSPDTW) has attracted much research interest in the last decade, due to its wide application in mo…
Competitive Coevolution as an Adversarial Approach to Dynamic Optimization
Xiaofen Lu, Ke Tang, Stefan Menzel +1
Dynamic optimization, for which the objective functions change over time, has attracted intensive investigations due to the inherent uncertainty associated with many real-world pro…
Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization
Jinyuan Zhang, Aimin Zhou, Ke Tang +1
In evolutionary algorithms, a preselection operator aims to select the promising offspring solutions from a candidate offspring set. It is usually based on the estimated or real ob…
An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms
Zhi-Zhong Liu, Yong Wang, Shengxiang Yang +1
In the evolutionary computation research community, the performance of most evolutionary algorithms (EAs) depends strongly on their implemented coordinate system. However, the comm…
Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance
Pu Wang, Michael Emmerich, Rui Li +3
ROC is usually used to analyze the performance of classifiers in data mining. ROC convex hull (ROCCH) is the least convex major-ant (LCM) of the empirical ROC curve, and covers pot…