12 citations · 30 across the 5 of their papers we have counts for
5 papers
Local Optima Correlation Assisted Adaptive Operator Selection
Jiyuan Pei, Hao Tong, Jialin Liu +2
For solving combinatorial optimisation problems with metaheuristics, different search operators are applied for sampling new solutions in the neighbourhood of a given solution. It…
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems
Hao Tong, Leandro L. Minku, Stefan Menzel +2
The capacitated arc routing problem (CARP) is a challenging combinatorial optimisation problem abstracted from many real-world applications, such as waste collection, road gritting…
Reinforcement Learning with Dual-Observation for General Video Game Playing
Chengpeng Hu, Ziqi Wang, Tianye Shu +4
Reinforcement learning algorithms have performed well in playing challenging board and video games. More and more studies focus on improving the generalisation ability of reinforce…
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms
Hao Tong, Jialin Liu, Xin Yao
Surrogate-assisted evolutionary algorithms (SAEAs) are powerful optimisation tools for computationally expensive problems (CEPs). However, a randomly selected algorithm may fail in…
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems
Hao Tong, Changwu Huang, Jialin Liu +1
Very expensive problems are very common in practical system that one fitness evaluation costs several hours or even days. Surrogate assisted evolutionary algorithms (SAEAs) have be…