PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE
Particle Swarm Optimization (PSO) is an optimization’s algorithm based on swarm intelligence. PSO is an algorithm for global optimization, but PSO often trapped in the local best point. Otherwise, the acceptance rule by Metropolis, known as the Metropolis rule, in Simulated Annealing is known use...
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id-itb.:182162017-09-27T11:43:13ZPARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE F. S. (NIM : 10109082); Pembimbing : Dr. Janson Naiborhu, CHRISTINE Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/18216 Particle Swarm Optimization (PSO) is an optimization’s algorithm based on swarm intelligence. PSO is an algorithm for global optimization, but PSO often trapped in the local best point. Otherwise, the acceptance rule by Metropolis, known as the Metropolis rule, in Simulated Annealing is known useful to get out of the local <br /> <br /> <br /> <br /> <br /> best point. To overcome this problem, PSO is modified with the acceptance rule by Metropolis. The modified is called Simulated Annealing Particle Swarm Optimization (SAPSO). text |
| institution |
Institut Teknologi Bandung |
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| continent |
Asia |
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Indonesia Indonesia |
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Indonesia |
| description |
Particle Swarm Optimization (PSO) is an optimization’s algorithm based on swarm intelligence. PSO is an algorithm for global optimization, but PSO often trapped in the local best point. Otherwise, the acceptance rule by Metropolis, known as the Metropolis rule, in Simulated Annealing is known useful to get out of the local <br />
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<br />
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best point. To overcome this problem, PSO is modified with the acceptance rule by Metropolis. The modified is called Simulated Annealing Particle Swarm Optimization (SAPSO). |
| format |
Final Project |
| author |
F. S. (NIM : 10109082); Pembimbing : Dr. Janson Naiborhu, CHRISTINE |
| spellingShingle |
F. S. (NIM : 10109082); Pembimbing : Dr. Janson Naiborhu, CHRISTINE PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE |
| author_facet |
F. S. (NIM : 10109082); Pembimbing : Dr. Janson Naiborhu, CHRISTINE |
| author_sort |
F. S. (NIM : 10109082); Pembimbing : Dr. Janson Naiborhu, CHRISTINE |
| title |
PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE |
| title_short |
PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE |
| title_full |
PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE |
| title_fullStr |
PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE |
| title_full_unstemmed |
PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE |
| title_sort |
particle swarm optimization algorithm based on the idea of simulated annealing and its convergence |
| url |
https://digilib.itb.ac.id/gdl/view/18216 |
| _version_ |
1823632899488874496 |