most citedMulti-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.NE2026

Associative Constructive Evolution: Enhancing Metaheuristics through Hebbian-Learned Generative Guidance

Shanxian Lin, Yuichi Nagata, Haichuan Yang

Metaheuristic algorithms such as Particle Swarm Optimization (PSO) and Evolutionary Algorithms (EA) excel at exploring solution spaces but lack mechanisms to accumulate and reuse p…

cs.NE2026★ 1 cited

Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover

Shanxian Lin, Wei Xia, Yuichi Nagata +1

This study proposes MCEMOL (Multi-Constrained Evolutionary Molecular Design Framework), a molecular optimization approach integrating rule-based evolution with molecular crossover.…