Paper Info
Title
Cultural-Based Genetic Algorithm: Design and Real World Applications
Abstract
Due to their excellent performance in solving combinatorial optimization problems, metaheuristics algorithms such as Genetic Algorithms GA [35], [18], [5], Simulated Annealing SA [34], [13] and Tabu Search TS make up another class of search methods that has been adopted to efficiently solve dynamic optimization problem. Most of these methods are confined to the population space and in addition the solutions of nonlinear problems become quite difficult especially when they are heavily constrained. They do not make full use of the historical information and lack prediction about the search space. Besides the knowledge that individuals inherited "genetic code" from their ancestors, there is another component called Culture. In this paper, a novel culture-based GA algorithm is proposed and is tested against multidimensional and highly nonlinear real world applications.
Year
DOI
Venue
2008
10.1109/ISDA.2008.312
ISDA (3)
Keywords
Field
DocType
dynamic optimization problem,combinatorial optimization problem,ga algorithm,genetic algorithms ga,cultural-based genetic algorithm,population space,search space,real world applications,nonlinear real world application,nonlinear problem,search method,simulated annealing sa,genetic algorithms,gallium,combinatorial optimization,optimization,genetic algorithm,simulated annealing,tabu search,pressure vessel design,pressure vessel,cultural differences,history,nonlinear optimization,genetic code
Simulated annealing,Population,Nonlinear system,Computer science,Combinatorial optimization,Artificial intelligence,Optimization problem,Tabu search,Genetic algorithm,Metaheuristic
Conference
Volume
ISBN
Citations 
3
978-0-7695-3382-7
0
PageRank 
References 
Authors
0.34
10
7
Name
Order
Citations
PageRank
Mostafa A. El-Hosseini1386.13
Aboul Ella Hassanien21610192.72
Ajith Abraham38954729.23
Hameed Al-Qaheri4329.31
El-Hosseini, M.A.500.34
ella Hassanien, A.6364.57
Al-Qaheri, H.700.34