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 …
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] An improved particle swarm optimization algorithm and its application
X Yan, Q Wu, H Liu, W Huang - … Journal of Computer Science Issues (IJCSI …, 2013 - Citeseer
In this paper, aim at the disadvantages of standard Particle Swarm Optimization algorithm
like being trapped easily into a local optimum, we improves the standard PSO and proposes …
like being trapped easily into a local optimum, we improves the standard PSO and proposes …
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 …
[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 …
Enforced mutation to enhancing the capability of particle swarm optimization algorithms
PC Chou, JL Chen - … Conference, ICSI 2011, Chongqing, China, June 12 …, 2011 - Springer
Abstract Particle Swarm Optimization (PSO), proposed by Professor Kennedy and Eberhart
in 1995, attracts many attentions to solve for a lot of optimization problems nowadays. Due to …
in 1995, attracts many attentions to solve for a lot of optimization problems nowadays. Due to …
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 overview of particle swarm optimization variants
Particle swarm optimization (PSO) is a stochastic algorithm used for the optimization
problems proposed by Kennedy [1] in 1995. It is a very good technique for the optimization …
problems proposed by Kennedy [1] in 1995. It is a very good technique for the optimization …
Particle swarm optimization (PSO) variants with triangular mutation
Particle swarm optimization (PSO) is a stochastic algorithm used for the optimization
problems proposed by Kenned in 1995. It is a very good technique for optimization …
problems proposed by Kenned in 1995. It is a very good technique for optimization …
Modified particle swarm optimization with novel population initialization
Particle swarm optimization (PSO) algorithm is such a simple, easily understood and
realizable concept that it has been developing rapidly and has been applied widely since it …
realizable concept that it has been developing rapidly and has been applied widely since it …