Evolutionary generation of plant models
- Authors: Venter, Johannes
- Date: 2011-09-05T09:52:32Z
- Subjects: Three-dimensional imaging in biology , Algorithms , L systems
- Type: Thesis
- Identifier: uj:7190 , http://hdl.handle.net/10210/3824
- Description: M.Sc. (Computer Science) , Modelling the geometry of a 3D plant for use in a virtual environment can be highly laborious, and hence modelling a large collection of variations of the same plant can be a difficult task. Procedural rule-based methods, such as L-Systems, that generate plant geometry indirectly are powerful techniques for the modelling of plants. However such methods often require expert knowledge and skill in order to be used effectively. This dissertation explores a method for the modelling of procedurally generated plants using an evolutionary algorithm. The model is based on gene expression programming, and uses a hybrid of automated and interactive fitness evaluation. In the model, organisms are represented with linear genomes that can be expressed as L-Systems. The L-Systems can in turn be interpreted as geometry for 3D plants. Several automated fitness functions are presented to rate plants based on various topological and geometric attributes. These fitness functions are used in conjunction with user-based, interactive fitness evaluation in order to provide a comparison of different organisms. The model discussed in this dissertation offers advantages over previous approaches to modelling plants with evolutionary algorithms, and allows a user to quickly generate a population of varied plants without requiring knowledge of the underlying L-Systems.
- Full Text:
- Authors: Venter, Johannes
- Date: 2011-09-05T09:52:32Z
- Subjects: Three-dimensional imaging in biology , Algorithms , L systems
- Type: Thesis
- Identifier: uj:7190 , http://hdl.handle.net/10210/3824
- Description: M.Sc. (Computer Science) , Modelling the geometry of a 3D plant for use in a virtual environment can be highly laborious, and hence modelling a large collection of variations of the same plant can be a difficult task. Procedural rule-based methods, such as L-Systems, that generate plant geometry indirectly are powerful techniques for the modelling of plants. However such methods often require expert knowledge and skill in order to be used effectively. This dissertation explores a method for the modelling of procedurally generated plants using an evolutionary algorithm. The model is based on gene expression programming, and uses a hybrid of automated and interactive fitness evaluation. In the model, organisms are represented with linear genomes that can be expressed as L-Systems. The L-Systems can in turn be interpreted as geometry for 3D plants. Several automated fitness functions are presented to rate plants based on various topological and geometric attributes. These fitness functions are used in conjunction with user-based, interactive fitness evaluation in order to provide a comparison of different organisms. The model discussed in this dissertation offers advantages over previous approaches to modelling plants with evolutionary algorithms, and allows a user to quickly generate a population of varied plants without requiring knowledge of the underlying L-Systems.
- Full Text:
Leadership capabilities and opportunity realisation in the Fourth Industrial Revolution
- Authors: Venter, Johannes
- Date: 2019
- Subjects: Leadership , Technological innovations - Management , Industrial revolution , Artificial intelligence , Coal mines and mining - South Africa
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/446406 , uj:39090
- Description: M.Com. (Business Management) , Abstract: The study explored the leadership capabilities required to realise opportunities brought by the fourth industrial revolution in the South African coal mining sector. A qualitative research paradigm methodology was used. During the literature review references by other researchers were used to form a basic understanding of the origins of 4IR as well as how 4IR is used to modernise the mining sector, considering the current mining industry economic condition. The governments involvement as well as other industries like manufacturing in Industry 4.0 were also explored. Leadership evolution, risks and challenges through the industrial revolutions were furthermore researched and broaden the study’s knowledge base. A total of ten leadership professionals in the coal mining industry that has expert knowledge and experience with 4IR was interviewed and provided valuable input to the study. The research data transcripts were analysed for themes and subthemes that emerged repeatedly...
- Full Text:
- Authors: Venter, Johannes
- Date: 2019
- Subjects: Leadership , Technological innovations - Management , Industrial revolution , Artificial intelligence , Coal mines and mining - South Africa
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/446406 , uj:39090
- Description: M.Com. (Business Management) , Abstract: The study explored the leadership capabilities required to realise opportunities brought by the fourth industrial revolution in the South African coal mining sector. A qualitative research paradigm methodology was used. During the literature review references by other researchers were used to form a basic understanding of the origins of 4IR as well as how 4IR is used to modernise the mining sector, considering the current mining industry economic condition. The governments involvement as well as other industries like manufacturing in Industry 4.0 were also explored. Leadership evolution, risks and challenges through the industrial revolutions were furthermore researched and broaden the study’s knowledge base. A total of ten leadership professionals in the coal mining industry that has expert knowledge and experience with 4IR was interviewed and provided valuable input to the study. The research data transcripts were analysed for themes and subthemes that emerged repeatedly...
- Full Text:
Leadership capabilities and opportunity realisation in the Fourth Industrial Revolution
- Authors: Venter, Johannes
- Date: 2019
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/452451 , uj:39907
- Description: Abstract: The study explored the leadership capabilities required to realise opportunities brought by the fourth industrial revolution in the South African coal mining sector. A qualitative research paradigm methodology was used. During the literature review references by other researchers were used to form a basic understanding of the origins of 4IR as well as how 4IR is used to modernise the mining sector, considering the current mining industry economic condition. The governments involvement as well as other industries like manufacturing in Industry 4.0 were also explored. Leadership evolution, risks and challenges through the industrial revolutions were furthermore researched and broaden the study’s knowledge base. A total of ten leadership professionals in the coal mining industry that has expert knowledge and experience with 4IR was interviewed and provided valuable input to the study. The research data transcripts were analysed for themes and subthemes that emerged repeatedly... , M.Com. (Business Management)
- Full Text:
- Authors: Venter, Johannes
- Date: 2019
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/452451 , uj:39907
- Description: Abstract: The study explored the leadership capabilities required to realise opportunities brought by the fourth industrial revolution in the South African coal mining sector. A qualitative research paradigm methodology was used. During the literature review references by other researchers were used to form a basic understanding of the origins of 4IR as well as how 4IR is used to modernise the mining sector, considering the current mining industry economic condition. The governments involvement as well as other industries like manufacturing in Industry 4.0 were also explored. Leadership evolution, risks and challenges through the industrial revolutions were furthermore researched and broaden the study’s knowledge base. A total of ten leadership professionals in the coal mining industry that has expert knowledge and experience with 4IR was interviewed and provided valuable input to the study. The research data transcripts were analysed for themes and subthemes that emerged repeatedly... , M.Com. (Business Management)
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