97 citations · 287 across the 26 of their papers we have counts for
5 papers · 1 filter
Maximizing Submodular or Monotone Approximately Submodular Functions by Multi-objective Evolutionary Algorithms
Chao Qian, Yang Yu, Ke Tang +2
Evolutionary algorithms (EAs) are a kind of nature-inspired general-purpose optimization algorithm, and have shown empirically good performance in solving various real-word optimiz…
What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation
Miqing Li, Xin Yao
The quality of solution sets generated by decomposition-based evolutionary multiobjective optimisation (EMO) algorithms depends heavily on the consistency between a given problem's…
Kernel Truncated Regression Representation for Robust Subspace Clustering
Liangli Zhen, Dezhong Peng, Wei Wang +1
Subspace clustering aims to group data points into multiple clusters of which each corresponds to one subspace. Most existing subspace clustering approaches assume that input data…
Experience-based Optimization: A Coevolutionary Approach
Shengcai Liu, Ke Tang, Xin Yao
This paper studies improving solvers based on their past solving experiences, and focuses on improving solvers by offline training. Specifically, the key issues of offline training…
Dominance Move: A Measure of Comparing Solution Sets in Multiobjective Optimization
Miqing Li, Xin Yao
One of the most common approaches for multiobjective optimization is to generate a solution set that well approximates the whole Pareto-optimal frontier to facilitate the later dec…