Abstract: The Scatter Search (SS) is a deterministic strategy that has been applied successfully to some combinatorial and continuous optimization problems. Cuckoo Search (CS) is heuristic search algorithm which is inspired by the reproduction strategy of cuckoos. This paper presents enhanced scatter search algorithm using CS algorithm. The improvement provides Scatter Search with random exploration for search space of problem and more of diversity and intensification for promising solutions. The original and improved Scatter Search has been tested on Traveling Salesman Problem. A computational experiment with benchmark instances is reported. The results demonstrate that the improved Scatter Search algorithms produce better performance than original Scatter Search algorithm. The improvement in the value of average fitness is 23.2% comparing with original SS. The developed algorithm has been compared with other algorithms for the same problem, and the result was competitive with some algorithm and insufficient with another.

Ahmed T.Sadiq Al-Obaidi, “Improved Scatter Search Using Cuckoo Search” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(2), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020210

@article{Al-Obaidi2013,
title = {Improved Scatter Search Using Cuckoo Search},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020210},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020210},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {2},
author = {Ahmed T.Sadiq Al-Obaidi}
}