Kay Chen Tan

A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks

2020 · IEEE Transactions on Artificial Intelligence

As revealed by the no free lunch theorem, no single algorithm can outperform any others on all classes of optimization problems. To tackle this issue, methods for recommending an existing algorithm for solving given problems …

Optimizing Niche Center for Multimodal Optimization Problems

2021 · IEEE Transactions on Cybernetics

Many real-world optimization problems require searching for multiple optimal solutions simultaneously, which are called multimodal optimization problems (MMOPs). For MMOPs, the algorithm is required both to enlarge population diversity for locating more global optima and …

CIS Publication Spotlight [Publication Spotlight]

2015 · IEEE Computational Intelligence Magazine

Presents summaries of recent books published in the area of computational intelligence.

Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data

2024 · IEEE Transactions on Neural Networks and Learning Systems

While graph neural networks (GNNs) have become the de facto standard for graph-based node classification, they impose a strong assumption on the availability of sufficient labeled samples. This assumption restricts the classification performance of prevailing …