A modified particle swarm optimization with dynamic mutation period
C Ratanavilisagul, B Kruatrachue - 2014 11th International …, 2014 - ieeexplore.ieee.org
The particle swarm optimization (PSO) is an algorithm that attempts to search for better
solution in the solution space by attracting particles to converge toward a particle with the …
solution in the solution space by attracting particles to converge toward a particle with the …
[PDF][PDF] Particle swarm optimization with adaptive mutation in local best of particles
Particle Swarm Optimization (PSO) has shown its good search ability in many optimization
problems. But PSO easily gets trapped into local optima while dealing with complex …
problems. But PSO easily gets trapped into local optima while dealing with complex …
Particle swarm optimization with adaptive polynomial mutation
Particle Swarm Optimization (PSO) has shown its good search ability in many optimization
problem. But PSO easily gets trapped into local optima while dealing with complex …
problem. But PSO easily gets trapped into local optima while dealing with complex …
An improved particle swarm optimization with adaptive jumps
Particle swarm optimization (PSO) has shown its fast search speed in many complicated
optimization and search problems. However, PSO could often easily fall into local optima …
optimization and search problems. However, PSO could often easily fall into local optima …
[PDF][PDF] Improving the performance of particle swarm optimization algorithm with a dynamic search space
B Vallade, T Nakashima - ADVCOMP: the seventh international …, 2013 - personales.upv.es
Particle Swarm Optimization Algorithm (PSO). As a search algorithm, the PSO is used to
tune a set of parameters and find the best combination of parameter values for this set …
tune a set of parameters and find the best combination of parameter values for this set …
Particle swarm optimization with adaptive mutation
J Tang, X Zhao - 2009 WASE International Conference on …, 2009 - ieeexplore.ieee.org
Particle swarm optimization (PSO) has shown its good performance in many optimization
problems. However, PSO could often easily fall into local minima because the particles …
problems. However, PSO could often easily fall into local minima because the particles …
Dynamic population size and mutation round strategy assisted modified particle swarm optimization with mutation and reposition
C Ratanavilisagul - Procedia Computer Science, 2016 - Elsevier
Particle swarm optimization (PSO) is a population-based stochastic search algorithm. This
algorithm is utilized to solve the optimization problem. It suffers the problems of trapping in …
algorithm is utilized to solve the optimization problem. It suffers the problems of trapping in …
Modified particle swarm optimization with student T mutation (STPSO)
Particle Swarm Optimization (PSO) is a recognized algorithm for optimization problems, but
suffers from premature convergence. To prevent PSO from stagnation in local minima we are …
suffers from premature convergence. To prevent PSO from stagnation in local minima we are …
An adaptive mutation operator for particle swarm optimization
Particle swarm optimization (PSO) is an effcient tool for optimization and search problems.
However, it is easy to betrapped into local optima due to its in-formation sharing mechanism …
However, it is easy to betrapped into local optima due to its in-formation sharing mechanism …
A modified particle swarm optimizer with a novel operator
R Cheng, M Yao - … : International Conference, AICI 2010, Sanya, China …, 2010 - Springer
This paper proposes a simple and effective modified particle swarm optimizor with a novel
operator. The aim is to prevent premature convergence and improve the quality of solutions …
operator. The aim is to prevent premature convergence and improve the quality of solutions …