Learning Struktur Bayesian Networks menggunakan Novel Modified Binary Differential Evolution pada Klasifikasi Data

2016 ◽  
Author(s):  
Azmi Hafizha Rahman Z.A ◽  
◽  
Mohamad Syahrul Mubarok
Author(s):  
Sotirios K. Goudos

Differential Evolution (DE) is a popular evolutionary algorithm that has been applied to several antenna design problems. However, DE is best suited for continuous search spaces. Therefore, in order to apply it to combinatorial optimization problems for antenna design a binary version of the DE algorithm has to be used. In this chapter, the author presents a design technique based on Novel Binary DE (NBDE). The main benefit of NBDE is reserving the DE updating strategy to binary space. This chapter presents results from design cases that include array thinning, phased array design with discrete phase shifters, and conformal array design with discrete excitations based on NBDE.


2020 ◽  
Vol 24 (18) ◽  
pp. 14221-14234
Author(s):  
Amir Karbassi Yazdi ◽  
Mohamad Amin Kaviani ◽  
Thomas Hanne ◽  
Andres Ramos

2015 ◽  
Vol 31 (4) ◽  
pp. 361-380 ◽  
Author(s):  
Alfonso Martinez Cruz ◽  
Ricardo Barrón Fernández ◽  
Herón Molina Lozano ◽  
Marco Antonio Ramírez Salinas ◽  
Luis Alfonso Villa Vargas

Sign in / Sign up

Export Citation Format

Share Document