39 citations · 40 across the 3 of their papers we have counts for
3 papers
cs.AI2020
Learning (Re-)Starting Solutions for Vehicle Routing Problems
Xingwen Zhang, Shuang Yang
A key challenge in solving a combinatorial optimization problem is how to guide the agent (i.e., solver) to efficiently explore the enormous search space. Conventional approaches o…
cs.DC2020★ 1 cited
Solving Billion-Scale Knapsack Problems
Xingwen Zhang, Feng Qi, Zhigang Hua +1
Knapsack problems (KPs) are common in industry, but solving KPs is known to be NP-hard and has been tractable only at a relatively small scale. This paper examines KPs in a slightl…
cs.NE2017★ 39 cited
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent
Xingwen Zhang, Jeff Clune, Kenneth O. Stanley
Because stochastic gradient descent (SGD) has shown promise optimizing neural networks with millions of parameters and few if any alternatives are known to exist, it has moved to t…