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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Volume 10 > No. 3

 
   

Cuckoo Search and Genetic Algorithm Hybrid Schemes for Optimization Problems

PP: 1185-1192
doi:10.18576/amis/100337
Author(s)
Mohamed Abdel-Baset, Ibrahim Hezam,
Abstract
In this paper, two hybrid schemes using cuckoo search algorithm and genetic algorithm are proposed. In the two hybrid schemes, the algorithm consists of two phases in the first phase, CS (or GA) explores the search space. In the second phase, to improve global search and get rid of trapping into several local optima. The novel hybrid algorithms are applied to solve 15 benchmark functions chosen from literature. The simulation results and comparison with classical CS and GA algorithms confirm the effectiveness of the proposed algorithms in solving various benchmark optimization functions.

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