PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON THE IDEA OF SIMULATED ANNEALING AND ITS CONVERGENCE

• Main Author: F. S. (NIM : 10109082); pembimbing : DR. JANSON NAIBORHU, CHRISTINE
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/15235
• Institution: Institut Teknologi Bandung

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...