Automated evolutionary design of self-assembly and self-organising systems
Self-assembly and self-organisation are natural construction processes where the spontaneous formation of aggregates emerges throughout the progressive interplay of local interactions among its constituents. Made upon cooperative self-reliant components, self-assembly and self-organising systems are...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2009
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| Online Access: | https://eprints.nottingham.ac.uk/10648/ |
| _version_ | 1848791108685922304 |
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| author | Terrazas Angulo, German |
| author_facet | Terrazas Angulo, German |
| author_sort | Terrazas Angulo, German |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Self-assembly and self-organisation are natural construction processes where the spontaneous formation of aggregates emerges throughout the progressive interplay of local interactions among its constituents. Made upon cooperative self-reliant components, self-assembly and self-organising systems are seen as distributed, not necessarily synchronous, autopoietic mechanisms for the bottom-up fabrication of supra-structures. The systematic understanding of how nature endows these autonomous components with sufficient ''intelligence'' to combine themselves to form useful aggregates brings challenging questions to science, answers to which have many potential applications in matters of life and technological advances. It is for this reason that the investigation to be presented along this thesis focuses on the automated design of self-assembly and self-organising systems by means of artificial evolution. Towards this goal, this dissertation embodies research on evolutionary algorithms applied to the parameters design of a computational model of self-organisation and the components design of a computational model of self-assembly. In addition, an analytical assessment combining correlation metrics and clustering, as well as the exploration of emergent patterns of cooperativity and the measurement of activity across evolution, is made. The results support the research hypothesis that an adaptive process such as artificial evolution is indeed a suitable strategy for the automated design of self-assembly and self-organising systems where local interactions, homogeneity and both stochastic and discrete models of execution play a crucial role in emergent complex structures. |
| first_indexed | 2025-11-14T18:23:16Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-10648 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:23:16Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-106482025-02-28T11:09:03Z https://eprints.nottingham.ac.uk/10648/ Automated evolutionary design of self-assembly and self-organising systems Terrazas Angulo, German Self-assembly and self-organisation are natural construction processes where the spontaneous formation of aggregates emerges throughout the progressive interplay of local interactions among its constituents. Made upon cooperative self-reliant components, self-assembly and self-organising systems are seen as distributed, not necessarily synchronous, autopoietic mechanisms for the bottom-up fabrication of supra-structures. The systematic understanding of how nature endows these autonomous components with sufficient ''intelligence'' to combine themselves to form useful aggregates brings challenging questions to science, answers to which have many potential applications in matters of life and technological advances. It is for this reason that the investigation to be presented along this thesis focuses on the automated design of self-assembly and self-organising systems by means of artificial evolution. Towards this goal, this dissertation embodies research on evolutionary algorithms applied to the parameters design of a computational model of self-organisation and the components design of a computational model of self-assembly. In addition, an analytical assessment combining correlation metrics and clustering, as well as the exploration of emergent patterns of cooperativity and the measurement of activity across evolution, is made. The results support the research hypothesis that an adaptive process such as artificial evolution is indeed a suitable strategy for the automated design of self-assembly and self-organising systems where local interactions, homogeneity and both stochastic and discrete models of execution play a crucial role in emergent complex structures. 2009-07-23 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/10648/1/gztthesis.pdf Terrazas Angulo, German (2009) Automated evolutionary design of self-assembly and self-organising systems. PhD thesis, University of Nottingham. evolutionary design self-assembly self-organisation self-assembly systems self-organising systems genetic algorithms design optimisation continuous design optimisation discrete design optimisation self-assembly Wang tiles design cellular automata parameter design cellular automata rule design emergent complex structures design genotype-phenotype-fitness analysis self-assembly dynamics cellular automata identification Wang tiles cellular automata |
| spellingShingle | evolutionary design self-assembly self-organisation self-assembly systems self-organising systems genetic algorithms design optimisation continuous design optimisation discrete design optimisation self-assembly Wang tiles design cellular automata parameter design cellular automata rule design emergent complex structures design genotype-phenotype-fitness analysis self-assembly dynamics cellular automata identification Wang tiles cellular automata Terrazas Angulo, German Automated evolutionary design of self-assembly and self-organising systems |
| title | Automated evolutionary design of self-assembly and self-organising systems |
| title_full | Automated evolutionary design of self-assembly and self-organising systems |
| title_fullStr | Automated evolutionary design of self-assembly and self-organising systems |
| title_full_unstemmed | Automated evolutionary design of self-assembly and self-organising systems |
| title_short | Automated evolutionary design of self-assembly and self-organising systems |
| title_sort | automated evolutionary design of self-assembly and self-organising systems |
| topic | evolutionary design self-assembly self-organisation self-assembly systems self-organising systems genetic algorithms design optimisation continuous design optimisation discrete design optimisation self-assembly Wang tiles design cellular automata parameter design cellular automata rule design emergent complex structures design genotype-phenotype-fitness analysis self-assembly dynamics cellular automata identification Wang tiles cellular automata |
| url | https://eprints.nottingham.ac.uk/10648/ |