Design of a Front– End Amplifier for the Maximum Power Delivery and Required Noise by HBMO with Support Vector Microstrip Model
Honey Bee Mating Optimization (HBMO) is a recent swarm-based optimization algorithm to solve highly nonlinear problems, whose based approach combines the powers of simulated annealing, genetic algorithms, and an effective local search heuristic to search for the best possible solution to the problem...
Main Authors: | F. Guneş, S. Demirel, P. Mahouti |
---|---|
Format: | Article |
Language: | English |
Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2014-04-01
|
Series: | Radioengineering |
Subjects: | |
Online Access: | http://www.radioeng.cz/fulltexts/2014/14_01_0134_0143.pdf |
Similar Items
-
Signal and Noise Modeling of Microwave Transistors Using Characteristic Support Vector-based Sparse Regression
by: F. Gunes, et al.
Published: (2016-09-01) -
A Multi-Objective HBMO-Based New FC-MCR Compensator for Damping of Power System Oscillations
by: R. Ghanizadeh, et al.
Published: (2007-11-01) -
A COMPARATIVE STUDY ON THE PERCEIVED APPLICABILITY OF HONEY BEE MATING OPTIMIZATION ALGORITHM (HBMO) AND PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM BY APPLYING THREE FACTOR THEORY AMONG RESEARCHERS IN TAMIL NADU
by: K. Kalyani, et al.
Published: (2015-04-01) -
Design of microstrip microwave phase shifters for antenna arrays
by: Glushechenko E. N.
Published: (2017-06-01) -
The analysis of boxed microstrip
by: Railton, C. J.
Published: (1987)