42 citations · 86 across the 8 of their papers we have counts for
8 papers
Large Language Model-Driven Cooperative Operator Ensemble Evolution for Permutation Flow Shop Scheduling
Rui Xu, Yufan Liao, Haoze Lv +3
The permutation flow shop scheduling problem (PFSP) is a classical NP-hard combinatorial optimization problem in intelligent manufacturing. In practice, PFSP is commonly addressed…
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations
Zhixing Huang, Yi Mei, Fangfang Zhang +2
Existing genetic programming (GP) methods are typically designed based on a certain representation, such as tree-based or linear representations. These representations show various…
Learning Traffic Signal Control via Genetic Programming
Xiao-Cheng Liao, Yi Mei, Mengjie Zhang
The control of traffic signals is crucial for improving transportation efficiency. Recently, learning-based methods, especially Deep Reinforcement Learning (DRL), garnered substant…
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 Hybrid Decomposition-based Multi-objective Evolutionary Algorithm for the Multi-Point Dynamic Aggregation Problem
Guanqiang Gao, Bin Xin, Yi Mei +2
An emerging optimisation problem from the real-world applications, named the multi-point dynamic aggregation (MPDA) problem, has become one of the active research topics of the mul…
Capability Iteration Network for Robot Path Planning
Buqing Nie, Yue Gao, Yidong Mei +1
Path planning is an important topic in robotics. Recently, value iteration based deep learning models have achieved good performance such as Value Iteration Network(VIN). However,…
Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition
Yuzhou Zhang, Yi Mei, Buzhong Zhang +1
The capacitated arc routing problem is a very important problem with many practical applications. This paper focuses on the large scale capacitated arc routing problem. Traditional…
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems
Jordan MacLachlan, Yi Mei, Juergen Branke +1
Due to its direct relevance to post-disaster operations, meter reading and civil refuse collection, the Uncertain Capacitated Arc Routing Problem (UCARP) is an important optimisati…