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International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 3 Issue 3, 2014.
Abstract: This paper presents a new version of Tabu Search (TS) based on Cuckoo Search (CS) called (Tabu-Cuckoo Search TCS) to reduce the effect of the TS problems. The proposed algorithm provides a more diversity to candidate solutions of TS. Two case studies have been solved using the proposed algorithm, 4-Color Map and Traveling Salesman Problem. The proposed algorithm gives a good result compare with the original, the iteration numbers are less and the local minimum or non-optimal solutions are less.
Ahmed T. Sadiq Al-Obaidi and Ahmed Badre Al-Deen Majeed, “Proposal of Tabu Search Algorithm Based on Cuckoo Search” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 3(3), 2014. http://dx.doi.org/10.14569/IJARAI.2014.030302
@article{Al-Obaidi2014,
title = {Proposal of Tabu Search Algorithm Based on Cuckoo Search},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2014.030302},
url = {http://dx.doi.org/10.14569/IJARAI.2014.030302},
year = {2014},
publisher = {The Science and Information Organization},
volume = {3},
number = {3},
author = {Ahmed T. Sadiq Al-Obaidi and Ahmed Badre Al-Deen Majeed}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.