activity
20142025
most citedBandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit

3 citations · 14 across the 18 of their papers we have counts for

collaborators

18 papers

cs.AI2025

Bandit based Dynamic Candidate Edge Selection in Solving Traveling Salesman Problems

Long Wang, Jiongzhi Zheng, Zhengda Xiong +2

Algorithms designed for routing problems typically rely on high-quality candidate edges to guide their search, aiming to reduce the search space and enhance the search efficiency.…

cs.AI2025

Integer Linear Programming Preprocessing for Maximum Satisfiability

Jialu Zhang, Chu-Min Li, Sami Cherif +2

The Maximum Satisfiability problem (MaxSAT) is a major optimization challenge with numerous practical applications. In recent MaxSAT evaluations, most MaxSAT solvers have incorpora…

cs.NE2024

An Efficient Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems

Jiongzhi Zheng, Jinghui Xue, Kun He +2

In many real-world problems and applications, finding only a single element, even though the best, among all possible candidates, cannot fully meet the requirements. We may wish to…

cs.AI2024

Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers

Jiongzhi Zheng, Zhuo Chen, Chu-Min Li +1

MaxSAT is an optimization version of the famous NP-complete Satisfiability problem (SAT). Algorithms for MaxSAT mainly include complete solvers and local search incomplete solvers.…

cs.CG2023

An Efficient Solution Space Exploring and Descent Method for Packing Equal Spheres in a Sphere

Jianrong Zhou, Shuo Ren, Kun He +2

The problem of packing equal spheres in a spherical container is a classic global optimization problem, which has attracted enormous studies in academia and found various applicati…

cs.CG2023★ 1 cited

Geometric Batch Optimization for the Packing Equal Circles in a Circle Problem on Large Scale

Jianrong Zhou, Kun He, Jiongzhi Zheng +1

The problem of packing equal circles in a circle is a classic and famous packing problem, which is well-studied in academia and has a variety of applications in industry. This prob…