Gai-Ge Wang, Lihong Guo, Amir H. Gandomi, Guo-Sheng Hao, Heqi Wang. Chaotic krill herd algorithm. Information Sciences, 2014, 274: 17-34. doi: 10.1016/j.ins.2014.02.123(Top 1% Highly Cited Paper by Web of Science and Scopus)
Gai-Ge Wang, Amir H. Gandomi, Amir H. Alavi. An effective krill herd algorithm with migration operator in biogeography-based optimization. Applied Mathematical Modelling, 2014, 38(9-10): 2454-2462. doi: 10.1016/j.apm.2013.10.052(Top 1% Highly Cited Paper by Scopus)
Gai-Ge Wang, Amir H. Gandomi, Amir H. Alavi. Stud krill herd algorithm. Neurocomputing, 2014, 128: 363-370. doi:10.1016/j.neucom.2013.08.031(Top 1% Highly Cited Paper by Web of Science and Scopus)
Lihong Guo, Gai-Ge Wang, Amir H. Gandomi, Amir H. Alavi. A new improved krill herd algorithm for global numerical optimization. Neurocomputing, 2014, 138: 392-402. doi:10.1016/j.neucom.2014.01.023(Top 1% Highly Cited Paper by Scopus)
Gai-Ge Wang, Lihong Guo, Heqi Wang, Hong Duan, Luo Liu, Jiang Li. Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Computing and Applications, 2014, 24(3-4): 853-871. doi:10.1007/s00521-012-1304-8(Top 1% Highly Cited Paper by Scopus)
Gai-Ge Wang, Amir H. Gandomi, Guo-Sheng Hao. Hybrid krill herd algorithm with differential evolution for global numerical optimization. Neural Computing and Applications, 2014, 25(2): 297-308. doi: 10.1007/s00521-013-1485-9(Top 1% Highly Cited Paper by Scopus)
Gai-Ge Wang, Amir H. Gandomi, Xin-She Yang, Amir H. Alavi. A novel improved accelerated algorithm for global numerical optimization. Engineering Computations, 2014, 31(7): 1198-1220. doi:10.1108/EC-10-2012-0232
Yan-Hong Feng, Gai-Ge Wang, Qingjiang Feng, Xiang-Jun Zhao. An effective hybrid cuckoo search algorithm with improved shuffled frog leaping algorithm for 0-1 knapsack problems. Computational Intelligence and Neuroscience, Vol. 2014, Article ID 857254, 17 pages, 2014. doi: 10.1155/2014/857254
Gai-Ge Wang, Lihong Guo, Hong Duan, Heqi Wang. A new improved firefly algorithm for global numerical optimization. Journal of Computational and Theoretical Nanoscience, 2014, 11(2): 477-485. doi: 10.1166/jctn.2014.3383
Zhaojun Zhang, Gai-Ge Wang, Kuansheng Zou, Jianhua Zhang. A solution quality assessment method for swarm intelligence optimization algorithms. The Scientific World Journal, Vol. 2014, Article ID 183809, 9 pages, 2014. doi: 10.1155/2014/183809.
Alireza M. Bayazidi, Gai-Ge Wang, Hamed Bolandi, Amir H. Alavi, Amir H. Gandomi. Multi-gene genetic programming for estimation of elastic modulus of concrete.Mathematical Problems in Engineering, Vol. 2014, Article ID 474289, 10 pages, 2014. doi: 10.1155/2014/474289
Seyedali Mirjalili, Gai-Ge Wang, and Leandro Coelho. Binary Optimization Using Hybrid Particle Swarm Optimization and Gravitational Search Algorithm. Neural Computing and Applications, 25(6): 1423-1435, 2014. doi: 10.1007/s00521-014-1629-6
