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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id-itb.:389642019-06-20T13:55:33ZSOLVING REAL PROBLEMS USING MOTH-FLAME OPTIMIZATION Desita, Rizka Indonesia Final Project optimization, metaheuristic method, moth-flame optimization INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/38964 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. text |
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Institut Teknologi Bandung |
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Institut Teknologi Bandung Library |
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Asia |
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Indonesia Indonesia |
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Institut Teknologi Bandung |
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Indonesia |
| description |
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. |
| format |
Final Project |
| author |
Desita, Rizka |
| spellingShingle |
Desita, Rizka SOLVING REAL PROBLEMS USING MOTH-FLAME OPTIMIZATION |
| author_facet |
Desita, Rizka |
| author_sort |
Desita, Rizka |
| title |
SOLVING REAL PROBLEMS USING MOTH-FLAME OPTIMIZATION |
| title_short |
SOLVING REAL PROBLEMS USING MOTH-FLAME OPTIMIZATION |
| title_full |
SOLVING REAL PROBLEMS USING MOTH-FLAME OPTIMIZATION |
| title_fullStr |
SOLVING REAL PROBLEMS USING MOTH-FLAME OPTIMIZATION |
| title_full_unstemmed |
SOLVING REAL PROBLEMS USING MOTH-FLAME OPTIMIZATION |
| title_sort |
solving real problems using moth-flame optimization |
| url |
https://digilib.itb.ac.id/gdl/view/38964 |
| _version_ |
1822925159405715456 |