A differential equation-driven update strategy for density-based topology optimization: implementation with MATLAB codes

Differential equation-driven evolution strategies are often associated with boundary-driven topology optimization methods, such as the level set method. However, differential equations can also be utilized effectively in density-based approaches. This paper presents a design update scheme formulated using differential equations to evolve elemental densities in topology optimization. The proposed scheme transforms the differential equation into an absolute increment format, closely related to the optimality criteria (OC) method, which is traditionally implemented in a relative increment format in density-based methods. The relative increment format of the OC method typically ensures an efficient and stable optimization process, whereas the absolute increment format tends to enable a more active and responsive optimization process, potentially leading to optimized results with improved performance. Furthermore, the absolute increment format can be converted into a relative one if needed. This study explores compliance minimization problems for both isotropic composite and single-material cases. Detailed MATLAB implementations for these cases are presented and thoroughly explained. Numerical examples demonstrate that the differential equation-driven update scheme effectively addresses density distribution optimization problems, offering an alternative to classical density methods.

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Publication Details

Journal
Engineering With Computers
Published
2026-02-01
DOI
https://doi.org/10.1007/s00366-025-02237-6
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

A differential equation-driven update strategy for density-based topology optimization: implementation with MATLAB codes

Yang Liu, Wei Tan
Engineering With Computers
Topology Optimization in Engineering
article

A differential equation-driven update strategy for density-based topology optimization: implementation with MATLAB codes

Yang Liu, Wei Tan
article en

Abstract

Differential equation-driven evolution strategies are often associated with boundary-driven topology optimization methods, such as the level set method. However, differential equations can also be utilized effectively in density-based approaches. This paper presents a design update scheme formulated using differential equations to evolve elemental densities in topology optimization. The proposed scheme transforms the differential equation into an absolute increment format, closely related to the optimality criteria (OC) method, which is traditionally implemented in a relative increment format in density-based methods. The relative increment format of the OC method typically ensures an efficient and stable optimization process, whereas the absolute increment format tends to enable a more active and responsive optimization process, potentially leading to optimized results with improved performance. Furthermore, the absolute increment format can be converted into a relative one if needed. This study explores compliance minimization problems for both isotropic composite and single-material cases. Detailed MATLAB implementations for these cases are presented and thoroughly explained. Numerical examples demonstrate that the differential equation-driven update scheme effectively addresses density distribution optimization problems, offering an alternative to classical density methods.

Engineering With ComputersVol. 42(1)
Queen Mary University of London (GB)
Government of the United Kingdom, UK Research and Innovation, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 71%
Topology Optimization in Engineering
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A differential equation-driven update strategy for density-based topology optimization: implementation with MATLAB codes — Yang Liu, Wei Tan · Engineering With Computers (2026) | TGRS Research Map | TGRS