Multi-objective genetic local search algorithm using Kohonen’s neural map

2009 ◽  
Vol 56 (4) ◽  
pp. 1566-1576 ◽  
Author(s):  
Mehrdad Hakimi-Asiabar ◽  
Seyyed Hassan Ghodsypour ◽  
Reza Kerachian
2019 ◽  
Vol 478 ◽  
pp. 40-61 ◽  
Author(s):  
Jianyu Long ◽  
Zhenzhong Sun ◽  
Panos M. Pardalos ◽  
Ying Hong ◽  
Shaohui Zhang ◽  
...  

2006 ◽  
Vol 14 (2) ◽  
pp. 223-253 ◽  
Author(s):  
Frédéric Lardeux ◽  
Frédéric Saubion ◽  
Jin-Kao Hao

This paper presents GASAT, a hybrid algorithm for the satisfiability problem (SAT). The main feature of GASAT is that it includes a recombination stage based on a specific crossover and a tabu search stage. We have conducted experiments to evaluate the different components of GASAT and to compare its overall performance with state-of-the-art SAT algorithms. These experiments show that GASAT provides very competitive results.


Sign in / Sign up

Export Citation Format

Share Document