42 citations · 86 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…