[PDF] Top 20 Design of Microwave Absorbers using Improvised Particle Swarm Optimization Algorithm
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Design of Microwave Absorbers using Improvised Particle Swarm Optimization Algorithm
... permeability of free space and 𝜔 is the angular frequency of the incident ...coefficients of the subsequent layers can be ...MPROVISED PARTICLE SWARM OPTIMIZATION In conventional ... See full document
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EXTRUSION DIE PROFILE DESIGN USING SIMULATED ANNEALING ALGORITHM AND PARTICLE SWARM OPTIMIZATION
... Nontraditional optimization techniques like simulated annealing algorithm [6] and Particle Swarm optimization [7] are used for minimizing the Die force by optimizing die cone angle and ... See full document
4
Phased Array Synthesis Using Modified Particle Swarm Optimization
... because of their rapid and accurate beam scanning capabilities ...excitations of the array elements are selected to synthesize the desired ...multiple design goals such as SLL, beamwidth and null ... See full document
6
J. Microw. Optoelectron. Electromagn. Appl. vol.10 número2
... to design the configuration of pumping lasers of Raman amplifiers using a multi-objective particle swarm ...flatness of the gain over the used bandwidth. We used an ... See full document
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STABLE DRUG DESIGNING BY MINIMIZING DRUG PROTEIN INTERACTION ENERGY USING PSO
... ligand design, which is based on variable length representation of trees on both sides of the pharmacophore was studied by Bandopadhyay et al ...suite of seven functional groups. Furthermore, ... See full document
12
Optimization of transportation channels in supply chain design Using Genetic Algorithm
... nature of the decisions. They used commercial optimization software to solve the model, analyzing different ...metrics of cost and service level are ...Colony Optimization (ACO), and ... See full document
9
Tuning of a Proportional-Integral-Derivative Controller using Multi-Objective Non Dominated Sorting Particle Swarm Optimization Applied to pH Control in Continuous Stirred Tank Reactor
... Most of the control engineering problems are characterized by several, contradicting, conflicting objectives, which have to be satisfied ...and using Pareto-optimal solutions. Approach: Non-Dominated ... See full document
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Design of Low Noise Microwave Amplifiers Using Particle Swarm Optimization
... aim of this work was to show that a design of low noise microwave transistor amplifier circuit, which can be thought of a multiobjective optimization problem, can be performed ... See full document
8
The Fir Digital Filter Design based on Iwpso
... unit of digital signal processing[1]and plays an important role in communication field and in the processing of digital ...The design core of the FIR digital filter[2]centers on the ... See full document
5
Performance analysis and optimization for CSDGB filling system of a beverage plant using particle swarm optimization
... and optimization for Carbonated Soft Drink Glass Bottle (CSDGB) filling system of a beverage plant using Particle Swarm Optimization (PSO) ...consists of seven main ... See full document
12
Economic Load Dispatch Using Grey Wolf Optimization
... one of the techniques to solve ELD problem, but it suffer from problem of irritation of dimensionality ...[8], particle swarm optimization (PSO) [9], biogeography-based ... See full document
5
A New Hybrid Approach for Heterogeneous Radio Access Technology Selection
... provision of desired ...making algorithm should be designed such that all the important characteristics of the system are taken into account when making the radio access ...Strength of both ... See full document
8
Breaking of Simplified Data Encryption Standard Using Binary Particle Swarm Optimization
... Binary Particle swarm optimization algorithm with bit change mutation with the genetic ...variety of cost functions used by other researchers in the ...amount of grams while ... See full document
7
Power Allocation in PON-OCDMA with Improved Chaos Particle Swarm Optimization
... chaos particle swarm optimization (IC-PSO) power allocation algorithm was proposed to improve the convergence velocity and the quality of the algorithm solutions to solve the ... See full document
16
Fuzzy based Color Image Segmentation using Comprehensive Learning Particle Swarm Optimization (CLPSO) - A Design Approach
... number of rules and minimum error rate. Particle swarm optimization is a sub class of evolutionary algorithms that has been inspired from social behavior of fishes, bees, birds, ... See full document
3
Feature Selection using Complementary Particle Swarm Optimization for DNA Microarray Data
... In this study, we used the feature selection to choose the subset from the dataset, and used the classification to estimate the subset. The complementary particle swarm optimization (CPSO) [9] is ... See full document
4
Multi Object Tracking Using Feature Selection Based Particle Swarm Optimization
... value of background ...theapparentmovement of the sun, or to local changes suchas shadows and ...correlations of pixels in the global distribution ... See full document
6
A new IPSO-SA approach for cardinality constrained portfolio optimization
... problem of portfolio optimization has always been a key concern for ...portfolio optimization problem with floor, ceiling, and cardinality ...traditional optimization methods fail to find the ... See full document
14
Particle Swarm Optimization Approach For Economic Load Dispatch: A Review
... reliable particle swarm optimization algorithm for solving the economic dispatch problems with smooth cost functions as well as cubic fuel cost ...problem of finding the global optimum ... See full document
10
Cash balance management: A comparison between genetic algorithms and particle swarm optimization=Gerenciamento do saldo de caixa: uma comparação entre algoritmos genéticos e particle swarm optimization
... e particle swarm optimization (PSO) no gerenciamento do saldo de caixa, a partir do modelo Miller-Orr, que consiste em um modelo estocástico que não define um único ponto ideal para o saldo de caixa, ... See full document
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