TY  - JOUR
T1  - Combined Crossover Operator
AU - Jebari, Khalid AU - Dik, Amina AU - Bouroumi, Abdelaziz AU - Ettouhami, Aziz 
JO  - Research Journal of Applied Sciences
VL  - 10
IS  - 3
SP  - 75
EP  - 79
PY  - 2015
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2015.75.79
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2015.75.79
KW  - Evolutionary computation
KW  -crossover
KW  -genetic algorithms
KW  -real coding crossover
KW  -CCO
AB  - Genetic algorithms are optimization and search methods based on the principles of Darwinian evolution and genetics that try to provide the optimal solution of a problem. They evolve a population of candidate solutions to the problem, using mutation, crossover and selection operators. Based on the diversity and the efficiency of four well known crossover operators, this study presents a novel operator called Combined Crossover Operator (CCO). The comparison with those four crossover operators shows that the results obtained by the CCO are promising.
ER  -