Inverse design of mode-locked fiber laser by improved genetic algorithm with classification algorithm
We propose an improved genetic algorithm assisted by a classification and recognition algorithm based on derivative analysis in mode-locked fiber lasers, which breaks through the limitation of traditional genetic algorithm that can only optimize a single objective at a time. By introducing the class...
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| Published in: | Optics communications Vol. 598; p. 132608 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.01.2026
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| ISSN: | 0030-4018 |
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| Abstract | We propose an improved genetic algorithm assisted by a classification and recognition algorithm based on derivative analysis in mode-locked fiber lasers, which breaks through the limitation of traditional genetic algorithm that can only optimize a single objective at a time. By introducing the classification and recognition process of pulse and spectrum before fitness calculation, the design complexity of the fitness function is significantly reduced. The algorithm can also simultaneously search and optimize three types of targets: dissipative soliton, dispersion-managed soliton, and conventional soliton. Furthermore, a simple and flexible fitness function based on the net cavity dispersion has been constructed to achieve effective isolation with different types of solitons in the fitness space. Due to the structural advantages of this algorithm, each successfully recognized individual is retained, allowing to systematically study the dynamic behavior and pulse formation mechanism of lasers crossing the dispersion region under multi-parameter evolution. This research not only provides a new paradigm for the application of genetic algorithms in multi-objective optimization but also offers a controllable and scalable research framework for locking in the inverse-design parameters of the required mode-locked fiber laser. |
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| AbstractList | We propose an improved genetic algorithm assisted by a classification and recognition algorithm based on derivative analysis in mode-locked fiber lasers, which breaks through the limitation of traditional genetic algorithm that can only optimize a single objective at a time. By introducing the classification and recognition process of pulse and spectrum before fitness calculation, the design complexity of the fitness function is significantly reduced. The algorithm can also simultaneously search and optimize three types of targets: dissipative soliton, dispersion-managed soliton, and conventional soliton. Furthermore, a simple and flexible fitness function based on the net cavity dispersion has been constructed to achieve effective isolation with different types of solitons in the fitness space. Due to the structural advantages of this algorithm, each successfully recognized individual is retained, allowing to systematically study the dynamic behavior and pulse formation mechanism of lasers crossing the dispersion region under multi-parameter evolution. This research not only provides a new paradigm for the application of genetic algorithms in multi-objective optimization but also offers a controllable and scalable research framework for locking in the inverse-design parameters of the required mode-locked fiber laser. |
| ArticleNumber | 132608 |
| Author | Zhang, Hong Kuang, Junxia Zhu, Yuehong Zhang, Gongruijian Chen, Rubo |
| Author_xml | – sequence: 1 givenname: Junxia surname: Kuang fullname: Kuang, Junxia – sequence: 2 givenname: Hong orcidid: 0000-0003-2648-9839 surname: Zhang fullname: Zhang, Hong email: zh_qy@scu.edu.cn – sequence: 3 givenname: Yuehong surname: Zhu fullname: Zhu, Yuehong – sequence: 4 givenname: Rubo surname: Chen fullname: Chen, Rubo – sequence: 5 givenname: Gongruijian surname: Zhang fullname: Zhang, Gongruijian |
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| Cites_doi | 10.3390/photonics9040212 10.1364/OE.450059 10.1038/s41598-023-28689-8 10.1364/OE.503958 10.1016/j.optlastec.2022.108368 10.1016/j.yofte.2024.103677 10.1007/s003400050273 10.3390/atmos12070918 10.1364/PRJ.7.000103 10.1364/OPTICA.2.000275 10.1007/s41871-023-00216-3 10.1364/OE.21.012014 10.1109/LPT.2019.2954806 10.1117/1.OE.59.5.056102 10.1364/JOSAB.34.000553 10.1038/s41598-021-92996-1 10.1364/OPTICA.6.000362 10.1364/OL.566749 10.1016/j.pmatsci.2021.100795 10.1109/TITS.2011.2162627 10.1016/j.optlastec.2025.113861 10.1364/OE.544564 |
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| Keywords | Mode-locked fiber laser Classification and recognition algorithm Inverse design Genetic algorithm |
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| SubjectTerms | Classification and recognition algorithm Genetic algorithm Inverse design Mode-locked fiber laser |
| Title | Inverse design of mode-locked fiber laser by improved genetic algorithm with classification algorithm |
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