1 citations · 3 across the 4 of their papers we have counts for
4 papers
Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization
Rui Zhong, Yang Cao, Enzhi Zhang +1
This paper introduces a novel competitive mechanism into differential evolution (DE), presenting an effective DE variant named competitive DE (CDE). CDE features a simple yet effic…
Large Language Model Assisted Adversarial Robustness Neural Architecture Search
Rui Zhong, Yang Cao, Jun Yu +1
Motivated by the potential of large language models (LLMs) as optimizers for solving combinatorial optimization problems, this paper proposes a novel LLM-assisted optimizer (LLMO)…
Accelerating differential evolution algorithm with Gaussian sampling based on estimating the convergence points
Rui Zhong, Masaharu Munetomo
In this paper, we propose a simple strategy for estimating the convergence point approximately by averaging the elite sub-population. Based on this idea, we derive two methods, whi…
Cooperative coevolutionary hybrid NSGA-II with Linkage Measurement Minimization for Large-scale Multi-objective optimization
Rui Zhong, Masaharu Munetomo
In this paper, we propose a variable grouping method based on cooperative coevolution for large-scale multi-objective problems (LSMOPs), named Linkage Measurement Minimization (LMM…