Gai-Ge Wang. Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems. Memetic Computing, 2016, doi: ****
Yanhong Feng, Gai-Ge Wang*, Xiao-Zhi Gao. A novel hybrid cuckoo search algorithm with global harmony search for 0-1 Knapsack problems. International Journal of Computational Intelligence Systems, 2016, doi: ****
Rizk M. Rizk-Allah, Ragab A. El-Sehiemy, Suash Deb, Gai-Ge Wang*. A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor. Journal of Supercomputing, 2016, in press, doi:0.1007/s11227-016-1806-8
Gai-Ge Wang, Suash Deb, Xinchao Zhao, Zhihua Cui. A new monarch butterfly optimization with an improved crossover operator. Operational Research: An International Journal, 2016, in press, doi:10.1007/s12351-016-0251-z
De-Xuan Zou, Suash Deb, Gai-Ge Wang*. Solving IIR system identification by a variant of particle swarm optimization. Neural Computing and Applications, 2016, doi:10.1007/s00521-016-2338-0
Dexuan Zou, Gai-Ge Wang, Gai Pan, Hongwei Qi. A modified simulated annealing algorithm and an excessive area model for the floorplanning with fixed-outline constraints. Frontiers of Information Technology & Electronic Engineering, 2016, in press. doi: 10.1631/FITEE.1500386. Website: http://www.zju.edu.cn/jzus/iparticle.php?doi=10.1631/FITEE.1500386
Yanhong Feng, Gai-Ge Wang*, Suash Deb, Mei Lu, Xiang-Jun Zhao. Solving 0-1 knapsack problem by a novel binary monarch butterfly optimization. Neural Computing and Applications, 2015, doi:10.1007/s00521-015-2135-1
Gai-Ge Wang, Suash Deb, Zhihua Cui. Monarch butterfly optimization. Neural Computing and Applications, 2015, doi:10.1007/s00521-015-1923-yMATLAB code
Gai-Ge Wang, Amir H. Gandomi, Xin-She Yang, Amir H. Alavi. A new hybrid method based on krill herd and cuckoo search for global optimization tasks. International Journal of Bio-Inspired Computation. 2015, in press. website: http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijbic
Gai-Ge Wang, Suash Deb, Amir H. Gandomi, Zhaojun Zhang, Amir H. Alavi. Chaotic cuckoo search. Soft Computing, 2016, 20(9): 3349–3362. doi:10.1007/s00500-015-1726-1
Gai-Ge Wang, Amir H. Gandomi, Amir H. Alavi, Suash Deb. A hybrid method based on krill herd and quantum-behaved particle swarm optimization. Neural Computing and Applications, 2016, 27(4): 989-1006. doi: 10.1007/s00521-015-1914-z
Gai-Ge Wang, Amir H. Gandomi, Amir H. Alavi, Suash Deb. A multi-stage krill herd algorithm for global numerical optimization. International Journal on Artificial Intelligence Tools, 2016, 25(2): 1550030. doi: 10.1142/S021821301550030X
Gai-Ge Wang, Suash Deb, Amir H. Gandomi, Amir H. Alavi. Opposition-based krill herd algorithm with Cauchy mutation and position clamping. Neurocomputing, 2016, 177: 147-157. doi: 10.1016/j.neucom.2015.11.018
Gai-Ge Wang, Amir H. Gandomi, Xiangjun Zhao, HaiCheng Eric Chu. Hybridizing harmony search algorithm with cuckoo search for global numerical optimization. Soft Computing, 2016, 20(1): 273-285. doi: 10.1007/s00500-014-1502-7
Gai-Ge Wang, HaiCheng Eric Chu, Seyedali Mirjalili. Three-dimensional path planning for UCAV using an improved bat algorithm. Aerospace Science and Technology, 2016, 49: 231-238. doi: 10.1016/j.ast.2015.11.040
Jiao-Hong Yi, Jian Wang, Gai-Ge Wang. Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem. Advances in Mechanical Engineering, 2016, 8(1): 1-13. doi: 10.1177/1687814015624832