SOLVING ENGINEERING OPTIMIZATION PROBLEM WITH SPIRAL OPTIMIZATION ALGORITHM
Optimization problems in engineering are often highly nonlinear. This optimization problems have many different design variables with constrains. In that problems, we should to found the optimal solution. Global search algorithm should be used to obtain that optimal solutions. Many metaheuritic algo...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/69579 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Optimization problems in engineering are often highly nonlinear. This optimization problems have many different design variables with constrains. In that problems, we should to found the optimal solution. Global search algorithm should be used to obtain that optimal solutions. Many metaheuritic algorithms have been developed to perform global search. They are constructed based on the analogy of natural phenomena such as Ant movement (Ant Colony Optimization) and Honey bee waggle dance (Artificial Bee Colony). Recently a new metaheuristic search algorithm called Spiral Optimization, has been developed by Keenichi Tamura and Keiichiro Yasuda (2011) which constructed based on the analogy of spiral phenomena in nature such as nautilus shells, low pressure appear in nature, whirling currents and arms of spiral galaxies. Spiral model is constructed based on rotation matrices. From 2-dimensional spiral model we extend to n-dimensional spiral optimization. |
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