Novel Method of UWB Antenna Optimization for Specified Input Signal Forms by Means of Genetic Algorithm

2006 ◽  
Vol 54 (8) ◽  
pp. 2216-2225 ◽  
Author(s):  
N. Telzhensky ◽  
Y. Leviatan
Keyword(s):  
Genetic Algorithm ◽  
Input Signal ◽  
Uwb Antenna ◽  
Novel Method

scholarly journals Strategic Team AI Path Plans: Probabilistic Pathfinding

2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
Tng C. H. John ◽  
Edmond C. Prakash ◽  
Narendra S. Chaudhari
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Computer Games ◽  
Fitness Function ◽  
New Method ◽  
High Quality ◽  
Plan Generation ◽  
Novel Method ◽  
Games And Simulations

This paper proposes a novel method to generate strategic team AI pathfinding plans for computer games and simulations using probabilistic pathfinding. This method is inspired by genetic algorithms (Russell and Norvig, 2002), in that, a fitness function is used to test the quality of the path plans. The method generates high-quality path plans by eliminating the low-quality ones. The path plans are generated by probabilistic pathfinding, and the elimination is done by a fitness test of the path plans. This path plan generation method has the ability to generate variation or different high-quality paths, which is desired for games to increase replay values. This work is an extension of our earlier work on team AI: probabilistic pathfinding (John et al., 2006). We explore ways to combine probabilistic pathfinding and genetic algorithm to create a new method to generate strategic team AI pathfinding plans.

scholarly journals Optimization and comparative analysis of PID and FOPID controller for BLDC motor

2019 ◽  
Vol 8 (3) ◽  
pp. 174
Author(s):  
P. Vimala ◽  
C. R. Balamurugan ◽  
A. Subramanian ◽  
T. Vishwanath
Keyword(s):  
Genetic Algorithm ◽  
Comparative Analysis ◽  
Input Signal ◽  
Pid Controller ◽  
Input Voltage ◽  
Bldc Motor ◽  
Phase Inverter ◽  
Three Phase ◽  
The Stability ◽  
Three Phase Inverter

The FOPID and PID controller are designed to control the speed of <br /> the BLDC motor. The parameters , , , λ and µ of these controller are optimized based on genetic algorithm. The optimized coefficients keep in track with zero error signals. The output of the controller is given to the variable dc source which varies the input voltage to the three phase inverter depending on the input signal. The three phase inverter gives the voltage to the BLDC motor which enhances the stability of the system. <br /> The effectiveness of the controller is demonstrated by simulation.

scholarly journals A DUAL BAND NOTCHED UWB ANTENNA WITH OPTIMIZED DGS USING GENETIC ALGORITHM

2020 ◽  
Vol 88 ◽  
pp. 89-95
Author(s):  
Mohammed Cherif Derbal ◽  
Abdelbaki Zeghdoud ◽  
Mourad Nedil
Keyword(s):  
Genetic Algorithm ◽  
Dual Band ◽  
Uwb Antenna

A multiobjective optimization of a UWB antenna using a self organizing genetic algorithm

2012 ◽  
Vol 54 (8) ◽  
pp. 1824-1828 ◽  
Author(s):  
C. R. M. Silva ◽  
H. W. C. Lins ◽  
S. R. Martins ◽  
E. L. F. Barreto ◽  
A. G. d'Assunção
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Uwb Antenna ◽  
Self Organizing

A novel method to design S-box based on chaotic map and genetic algorithm

2012 ◽  
Vol 376 (6-7) ◽  
pp. 827-833 ◽  
Author(s):  
Yong Wang ◽  
Kwok-Wo Wong ◽  
Changbing Li ◽  
Yang Li
Keyword(s):  
Genetic Algorithm ◽  
Chaotic Map ◽  
Novel Method
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