Applying velocity initialization strategies in ALC-PSO
This paper presents the impact of applying various velocity initialization strategies on the ALC-PSO Algorithm.
Stagnation Removal in PSO Algorithm
This paper presents the stagnation problem occurring in the PSO algorithm and some ways to remove this problem. A variant of PSO, called the PSO with Aging Leader with Challengers(ALC-PSO) overcomes this stagnation problem and improves the efficiency of the swarm.
A Review of Issues in Self Organizing Networks
This paper presents the basic architecture of Self Organizing Networks( SON), some of the design issues related to SON architectures.
Parameter Settings for implementing the Particle Swarm Optimization with Aging Leader and Challengers (ALC-PSO)
This paper presents the variant of PSO that has been developed to overcome the limitation of premature convergence and improve the performance of the algorithm.
A Review of Issues in Image Segmentation using Particle Swarm Optimization
This paper presents some issues involved in the process of image segmentation using Particle Swarm Optimization
PSO (Particle Swarm Optimization) Variants
This paper presents the various available variants of PSO , which enhances the performance of original PSO and improves the limitations which are there in original PSO algorithms such as: the solution gets stuck in local optima, premature convergence.
A Review of Benchmark Functions used in Optimization Algorithms
This paper presents some of the benchmarks used in testing the validating the optimization algorithms.
Benchmarks used in ALC-PSO
This paper presents the benchmark functions that have been probably the most commonly adopted to assess performance of ALC-PSO-based algorithms and information on all of them are given, like the search range, the position of their known optima, and other relevant properties.
Parameters determining Optimal Solution of Particle Swarm Optimization(PSO) algorithm – Role of Population size and number of
This paper presents the simulation results of particle swarm optimization algorithm with varying the number of particles and number of iterations.