Finding Molecules with Specific Properties: Simulated Annealing vs. Evolution

We compare the ability of a simulated annealing program and an evolutionary algorithm to find molecules with large molecular average hyperpolarizabilities. This property is an important component of nonlinear optical materials. Both optimization programs represent molecules as SMILES strings, a method that is widely used by chemists to describe molecular structure using short ASCII strings. Our results suggest that both approaches are comparable and can be used to solve a variety of more realistic problems of interest to chemists and material scientists.

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Publication Details

Journal
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Published
2025-07-14
DOI
https://doi.org/10.1145/3712255.3726635
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

Finding Molecules with Specific Properties: Simulated Annealing vs. Evolution

S. A. Alexander, Dominic Mashak
4 links
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Computational Drug Discovery Methods
article

Finding Molecules with Specific Properties: Simulated Annealing vs. Evolution

S. A. Alexander, Dominic Mashak
article en

Abstract

We compare the ability of a simulated annealing program and an evolutionary algorithm to find molecules with large molecular average hyperpolarizabilities. This property is an important component of nonlinear optical materials. Both optimization programs represent molecules as SMILES strings, a method that is widely used by chemists to describe molecular structure using short ASCII strings. Our results suggest that both approaches are comparable and can be used to solve a variety of more realistic problems of interest to chemists and material scientists.

Proceedings of the Genetic and Evolutionary Computation Conference Companion
Southwestern University (US)
Openalex Percentile: Top 63%
Computational Drug Discovery Methods
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