ALGORITHM DEVELOPMENT OF NEURAL NETWORK ALGORITHM (NNA) TO SOLVE REAL OPTIMIZATION PROBLEMS
Inspired by Artificial Neural Network (ANN), a metaheuristics optimization algorithm which then so-called Neural Network Algorithm (NNA) is utilized to solve optimization problems. In addition to unconstrained problem, NNA is also can be modified to find the constrained optimization problem altho...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/70354 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Inspired by Artificial Neural Network (ANN), a metaheuristics optimization algorithm
which then so-called Neural Network Algorithm (NNA) is utilized to solve
optimization problems. In addition to unconstrained problem, NNA is also can be
modified to find the constrained optimization problem although only the continuous
variable can be obtained in one program execution.
In this thesis, to find possible solution of optimization problem which is involve
the integer , the original NNA can be modified using rounding techniques. By using
this technique, NNA can obtain the optimization problem which is involve the integer.
Furthermore, the modification of NNA algorithm is also can be utilized to
solve real optimization problems.
Finally, after doing test to all the benchmark functions, NNA with it’s modification
has been tested successfully such us constrained optimization problems, finding the
solution of real optimization problems.
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