An improvement over RED algorithm by using particle swarm optimization

اسناد مشابه

• An improvement over RED algorithm by using particle swarm optimization

  سند علمی۲۰۱۰IEICE Electronic ExpressShahram Jamali, Seyed Reza Zahedi

  One of the most challenging issues in Random Early Detection (RED) algorithm is how to set its parameters to achieve high performance for the dynamic conditions of the network. While original RED uses fixed values for its parameters, this paper proposes a novel algorithm, in whic

• Improving the Performance of Particle Swarm Optimization Algorithms with Activation Strategy

  سند علمی۲۰۰۷Wei-Ping Lee, Cheng-Wen Chiang

  According to researches, activation was a minor strategy of improving Particle Swarm Algorithm. For proofing the possibility of activation strategy could be a main strategy for improving Particle Swarm Algorithm, this article adopt the concept of mutation in Genetic Algorithm to

• A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm

  سند علمی۲۰۱۵Complex System Modelling and Control Through Intelligent Soft ComputationsM. Andalib Sahnehsaraei, Mohammad Javad Mahmoodabadi, Milad Taherkhorsandi, Krystel K. Castillo-Villar

  The genetic algorithm (GA) is an evolutionary optimization algorithm operating based upon reproduction, crossover and mutation. On the other hand, particle swarm optimization (PSO) is a swarm intelligence algorithm functioning by means of inertia weight, learning factors and the

• A Review of Parameters for Improving the Performance of Particle Swarm Optimization

  سند علمی۲۰۱۵Avneet Kaur, Mandeep Kaur

  Particle swarm optimization (PSO) is an artificial intelligence (AI) technique that can be used to find approximate solutions to extremely difficult or impossible numeric maximization and minimization problems. Particle swarm optimization is an optimization method. It is an optim

• Improving Solution Characteristics of Particle Swarm Optimization using Digital Pheromones

  سند علمی۲۰۰۸V. Kalivarapu, J. Foo, E. Winer

  In this paper, a new approach to Particle Swarm Optimization (PSO) using digital pheromones to coordinate swarms within an n-dimensional design space is presented. In a basic PSO, an initial randomly generated population swarm propagates towards the global optimum over a series o

• Comparative Analysis of Genetic Algorithm & Particle Swarm Optimization Techniques for SOFM Based Abnormal Retinal Image Classification

  سند علمی۲۰۰۹J. Anitha, C. Kezi Selva Vijila, D. Jude Hemanth

  Genetic algorithm (GA) and particle swarm optimization (PSO) techniques have attracted considerable attention among heuristic optimization techniques. It is appropriate to compare their performance since both yield optimal solutions with different strategies and computational eff