TY - GEN
T1 - Hybridizing cuckoo search algorithm with hill climbing for numerical optimization problems
AU - Shehab, Mohammad
AU - Khader, Ahamad Tajudin
AU - Al-Betar, Mohammed Azmi
AU - Abualigah, Laith Mohammad
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/20
Y1 - 2017/10/20
N2 - The Cuckoo Search Algorithm (CSA) is a promising metaheuristic algorithm. It is applied to solve many problems in different fields. This paper proposes a new cuckoo search algorithm by combining the cuckoo search algorithm with the Hill Climbing method for solving the integer and minimax optimization problems. The proposed algorithm is named hybrid cuckoo search and hill climbing (CSAHC). CSAHC starts the search by applying the standard cuckoo search for the number of iterations then the best-obtained solution is passed to the hill climbing algorithm as an intensification process to accelerate the search and overcome the slow convergence of the standard cuckoo search algorithm. The proposed algorithm balances between the global exploration of the cuckoo search algorithm and the deep exploitation of the hill climbing method. The validation of the performance is determined by applying 13 benchmarks. The results of experimental simulations indicated that the CSAHC performs better than standard CSA.
AB - The Cuckoo Search Algorithm (CSA) is a promising metaheuristic algorithm. It is applied to solve many problems in different fields. This paper proposes a new cuckoo search algorithm by combining the cuckoo search algorithm with the Hill Climbing method for solving the integer and minimax optimization problems. The proposed algorithm is named hybrid cuckoo search and hill climbing (CSAHC). CSAHC starts the search by applying the standard cuckoo search for the number of iterations then the best-obtained solution is passed to the hill climbing algorithm as an intensification process to accelerate the search and overcome the slow convergence of the standard cuckoo search algorithm. The proposed algorithm balances between the global exploration of the cuckoo search algorithm and the deep exploitation of the hill climbing method. The validation of the performance is determined by applying 13 benchmarks. The results of experimental simulations indicated that the CSAHC performs better than standard CSA.
KW - Cuckoo search algorithm
KW - Hill climbing
KW - Metaheuristic algorithms
KW - exploration and exploitation
UR - https://www.scopus.com/pages/publications/85039997742
U2 - 10.1109/ICITECH.2017.8079912
DO - 10.1109/ICITECH.2017.8079912
M3 - Conference contribution
AN - SCOPUS:85039997742
T3 - ICIT 2017 - 8th International Conference on Information Technology, Proceedings
SP - 36
EP - 43
BT - ICIT 2017 - 8th International Conference on Information Technology, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Information Technology, ICIT 2017
Y2 - 17 May 2017 through 18 May 2017
ER -