A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials
Soft network materials (SNMs) incorporating curved microstructures within lattice architectures have emerged as critical components in flexible electronics and tissue scaffolds. These materials demonstrate distinctive nonlinear mechanical behavior under tensile loading, replicating J-shaped stress-s...
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Elsevier
2025-08-01
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| Series: | Materials & Design |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127525007798 |
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| author | Xiao Feng Yuchen Lai Xing Yang Yongbin Yu Fangling Li Xiangxiang Wang Jiacheng Liang Jingye Cai Shunze Cao |
| author_facet | Xiao Feng Yuchen Lai Xing Yang Yongbin Yu Fangling Li Xiangxiang Wang Jiacheng Liang Jingye Cai Shunze Cao |
| author_sort | Xiao Feng |
| collection | DOAJ |
| description | Soft network materials (SNMs) incorporating curved microstructures within lattice architectures have emerged as critical components in flexible electronics and tissue scaffolds. These materials demonstrate distinctive nonlinear mechanical behavior under tensile loading, replicating J-shaped stress-strain curves observed in soft tissues such as skin and tendon/ligament. While numerous SNMs featuring diverse microstructural and topological designs have been engineered over the past decade, and each characterized by a distinct design domain, the existing design methodologies present inherent limitations. Although various computational strategies have been proposed, their implementation typically requires multi-stage processes and subjective parameter selection, exhibiting narrow applicability to specific SNM. To address these design constraints, we developed an innovatively competitive coevolution-based differential evolution algorithm with multi-population architecture (CCMPDE). After integrating mathematical modeling of SNMs and finite element analysis (FEA), the CCMPDE-based strategy enabled concurrent optimization of multiple SNMs featuring different curved microstructures. Notably, the proposed strategy demonstrates exceptional compatibility with diverse topologies and mechanical relationships. Through computational and experimental case studies, designed SNMs (fabricated by biopolymers) composed of horseshoe, sinusoidal, and arbitrary curved microstructures successfully replicated the tensile responses of soft tissues. Furthermore, the CCMPDE-based strategy facilitated inverse design of biocomposite SNMs, achieving appropriate replication of target mechanical behaviors. |
| format | Article |
| id | doaj-art-2f1e5472087d404ca67f6ed5ebe72ae6 |
| institution | OA Journals |
| issn | 0264-1275 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj-art-2f1e5472087d404ca67f6ed5ebe72ae62025-08-20T02:36:39ZengElsevierMaterials & Design0264-12752025-08-0125611435910.1016/j.matdes.2025.114359A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materialsXiao Feng0Yuchen Lai1Xing Yang2Yongbin Yu3Fangling Li4Xiangxiang Wang5Jiacheng Liang6Jingye Cai7Shunze Cao8School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, ChinaAML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, ChinaCollege of Biomedical Engineering, Sichuan University, Chengdu 610064, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, ChinaCollege of Biomedical Engineering, Sichuan University, Chengdu 610064, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, ChinaCollege of Biomedical Engineering, Sichuan University, Chengdu 610064, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, ChinaCollege of Biomedical Engineering, Sichuan University, Chengdu 610064, China; Corresponding author.Soft network materials (SNMs) incorporating curved microstructures within lattice architectures have emerged as critical components in flexible electronics and tissue scaffolds. These materials demonstrate distinctive nonlinear mechanical behavior under tensile loading, replicating J-shaped stress-strain curves observed in soft tissues such as skin and tendon/ligament. While numerous SNMs featuring diverse microstructural and topological designs have been engineered over the past decade, and each characterized by a distinct design domain, the existing design methodologies present inherent limitations. Although various computational strategies have been proposed, their implementation typically requires multi-stage processes and subjective parameter selection, exhibiting narrow applicability to specific SNM. To address these design constraints, we developed an innovatively competitive coevolution-based differential evolution algorithm with multi-population architecture (CCMPDE). After integrating mathematical modeling of SNMs and finite element analysis (FEA), the CCMPDE-based strategy enabled concurrent optimization of multiple SNMs featuring different curved microstructures. Notably, the proposed strategy demonstrates exceptional compatibility with diverse topologies and mechanical relationships. Through computational and experimental case studies, designed SNMs (fabricated by biopolymers) composed of horseshoe, sinusoidal, and arbitrary curved microstructures successfully replicated the tensile responses of soft tissues. Furthermore, the CCMPDE-based strategy facilitated inverse design of biocomposite SNMs, achieving appropriate replication of target mechanical behaviors.http://www.sciencedirect.com/science/article/pii/S0264127525007798Soft network materialsInverse-engineering designEvolutionary algorithmNonlinear mechanical responsesBiocomposite SNM |
| spellingShingle | Xiao Feng Yuchen Lai Xing Yang Yongbin Yu Fangling Li Xiangxiang Wang Jiacheng Liang Jingye Cai Shunze Cao A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials Materials & Design Soft network materials Inverse-engineering design Evolutionary algorithm Nonlinear mechanical responses Biocomposite SNM |
| title | A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials |
| title_full | A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials |
| title_fullStr | A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials |
| title_full_unstemmed | A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials |
| title_short | A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials |
| title_sort | competitive coevolution based evolutionary algorithm for the parallel inverse design of multiple soft network materials |
| topic | Soft network materials Inverse-engineering design Evolutionary algorithm Nonlinear mechanical responses Biocomposite SNM |
| url | http://www.sciencedirect.com/science/article/pii/S0264127525007798 |
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