SOLVING REAL PROBLEMS USING MOTH-FLAME OPTIMIZATION
Optimization is the process of finding the best solution of a problem in various fields. The best method to find a global optimal solution is the metaheuristic method. The metaheuristic method is a method developed from the heuristic method which looks for a solution through trial and error, henc...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/38964 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Optimization is the process of finding the best solution of a problem in various
fields. The best method to find a global optimal solution is the metaheuristic
method. The metaheuristic method is a method developed from the heuristic
method which looks for a solution through trial and error, hence this method can
find an optimal solution in a relatively fast amount of time and guarantee the
optimization of the solution. One of the more recent metaheuristic methods is the
Moth-Flame Optimization (MFO) method, developed by Seyedali Mirjalili in 2015.
Moth-Flame Optimization is a metaheuristic method inspired by the flight path of
a moth during its navigation. In this final assignment, modelling and solving several
real optimization problems will be done using the Moth-Flame Optimzation
method. |
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