4 papers
RsGCN: Subgraph-Based Rescaling Enhances Generalization of GCNs for Solving Traveling Salesman Problems
Junquan Huang, Zong-Gan Chen, Yuncheng Jiang +1
GCN-based traveling salesman problem (TSP) solvers face two critical challenges: poor cross-scale generalization for TSPs and high training costs. To address these challenges, we p…
A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation
Liu-Yue Luo, Zhi-Hui Zhan, Kay Chen Tan +1
Convergence analysis is a fundamental research topic in evolutionary computation (EC). The commonly used analysis method models the EC algorithm as a homogeneous Markov chain for a…
A Performance Investigation of Multimodal Multiobjective Optimization Algorithms in Solving Two Types of Real-World Problems
Zhiqiu Chen, Zong-Gan Chen, Yuncheng Jiang +1
In recent years, multimodal multiobjective optimization algorithms (MMOAs) based on evolutionary computation have been widely studied. However, existing MMOAs are mainly tested on…
A Landscape-Aware Differential Evolution for Multimodal Optimization Problems
Guo-Yun Lin, Zong-Gan Chen, Chuanbin Liu +4
How to simultaneously locate multiple global peaks and achieve certain accuracy on the found peaks are two key challenges in solving multimodal optimization problems (MMOPs). In th…