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2020 – today
- 2023
[j96]Yong Wang
, Qian Zhang, Gai-Ge Wang:
Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization. Appl. Intell. 53(10): 11439-11473 (2023)- [j95]Muwei Jian, Hongyu Chen, Chen Tao, Xiaoguang Li, Gaige Wang:
Triple-DRNet: A triple-cascade convolution neural network for diabetic retinopathy grading using fundus images. Comput. Biol. Medicine 155: 106631 (2023) - [j94]Yunchou Yin, Zhimeng Han, Muwei Jian, Gai-Ge Wang, Liyan Chen, Rui Wang:
AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation. Comput. Biol. Medicine 162: 107120 (2023) - [j93]Yi-Jian Wang, Gai-Ge Wang, Fang-Ming Tian, Dun-Wei Gong, Witold Pedrycz:
Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II. Eng. Appl. Artif. Intell. 121: 105977 (2023) - [j92]Yong Wang, Zhihao Wang, Gai-Ge Wang:
Hierarchical learning particle swarm optimization using fuzzy logic. Expert Syst. Appl. 232: 120759 (2023) - [j91]Gai-Ge Wang, Honglei Cheng, Yiming Zhang, Hui Yu:
ENSO analysis and prediction using deep learning: A review. Neurocomputing 520: 216-229 (2023) - [j90]Yong Wang, Yiming Zhang, Gai-Ge Wang:
Forecasting ENSO using convolutional LSTM network with improved attention mechanism and models recombined by genetic algorithm in CMIP5/6. Inf. Sci. 642: 119106 (2023) - [j89]Wei Li, Gai-Ge Wang:
Improved elephant herding optimization using opposition-based learning and K-means clustering to solve numerical optimization problems. J. Ambient Intell. Humaniz. Comput. 14(3): 1753-1784 (2023) - [j88]Yong Wang, Xiaobin Qiao, Gai-Ge Wang:
Architecture evolution of convolutional neural network using monarch butterfly optimization. J. Ambient Intell. Humaniz. Comput. 14(9): 12257-12271 (2023) - [j87]Yi-Jian Wang, Juan Li, Gai-Ge Wang:
Fuzzy correlation entropy-based NSGA-II for energy-efficient hybrid flow-shop scheduling problem. Knowl. Based Syst. 277: 110808 (2023) - [j86]Yong Wang, Zhen Liu, Gai-Ge Wang:
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization. Swarm Evol. Comput. 78: 101232 (2023) - [j85]Lianbo Ma, Yang Liu, Guo Yu, Xinzhe Wang, Hongwei Mo, Gai-Ge Wang, Yaochu Jin, Ying Tan:
Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7138-7151 (2023) - [c12]Changlin Li, Jian He, Gaige Wang, Kuilong Liu, Changyuan Yang:
Position-Aware Tooth Segmentation and Numbering with Prior Knowledge Injected. HCI (14) 2023: 457-475 - 2022
- [j84]Gai-Ge Wang, Xiao Zhi Gao, Yan Pei:
Call for Special Issue Papers: Deep Learning Assisted Big Data Analytics for Biomedical Applications and Digital Healthcare: Deadline for Manuscript Submission: August 20, 2022. Big Data 10(1): 85-86 (2022) - [j83]Juan Li, Dandan Xiao, Ting Zhang, Chun Liu, Yuan-Xiang Li, Gaige Wang:
Corrigendum to: Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model. Comput. J. 65(7): 1938 (2022) - [j82]Xiaoqi Zhao, Haipeng Qu, Jianliang Xu, Shuo Li, Gai-Ge Wang:
AMSFuzz: An adaptive mutation schedule for fuzzing. Expert Syst. Appl. 208: 118162 (2022) - [j81]Xiaoyan Liu, Gai-Ge Wang, Ling Wang:
LSFQPSO: quantum particle swarm optimization with optimal guided Lévy flight and straight flight for solving optimization problems. Eng. Comput. 38(5): 4651-4682 (2022) - [j80]Yanhong Feng, Gai-Ge Wang:
A binary moth search algorithm based on self-learning for multidimensional knapsack problems. Future Gener. Comput. Syst. 126: 48-64 (2022) - [j79]Mei Li, Gai-Ge Wang:
A review of green shop scheduling problem. Inf. Sci. 589: 478-496 (2022) - [j78]Gui Li, Gai-Ge Wang, Ren-Bin Xiao:
A novel adaptive weight algorithm based on decomposition and two-part update strategy for many-objective optimization. Inf. Sci. 615: 323-347 (2022) - [j77]Sukhwinder Singh Dhillon, J. S. Lather, Gai-Ge Wang, P. Kaur, Lalitesh Kumar:
Monarch butterfly optimized control with robustness analysis for grid tied centralized and distributed power generations. J. Ambient Intell. Humaniz. Comput. 13(7): 3595-3608 (2022) - [j76]Yong Wang, Qian Zhang, Gai-Ge Wang, Zhongyi Hu:
An enhancing many-objective evolutionary algorithm using chaotic mapping and solution ranking mechanism for large-scale optimization. J. Comput. Des. Eng. 9(5): 1974-1994 (2022) - [j75]Zhenkun Fan, Guosheng Hu, Xin Sun, Gaige Wang, Junyu Dong, Chi Su:
Self-attention neural architecture search for semantic image segmentation. Knowl. Based Syst. 239: 107968 (2022) - [j74]Zhimeng Han, Muwei Jian, Gai-Ge Wang:
ConvUNeXt: An efficient convolution neural network for medical image segmentation. Knowl. Based Syst. 253: 109512 (2022) - [j73]Haoran Zhao, Xin Sun, Junyu Dong, Hui Yu, Gaige Wang:
Multi-instance semantic similarity transferring for knowledge distillation. Knowl. Based Syst. 256: 109832 (2022) - [j72]Wei-Chang Yeh, Wenbo Zhu, Shi-Yi Tan, Gai-Ge Wang, Yuan-Hui Yeh:
Novel general active reliability redundancy allocation problems and algorithm. Reliab. Eng. Syst. Saf. 218(Part): 108167 (2022) - [j71]Gai-Ge Wang, Da Gao, Witold Pedrycz:
Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm. IEEE Trans. Ind. Informatics 18(12): 8519-8528 (2022) - [j70]Jiechao Gao, Tu N. Nguyen, Gunasekaran Manogaran, Ankit Chaudhary, Gai-Ge Wang:
Redemptive Resource Sharing and Allocation Scheme for Internet of Things-Assisted Smart Healthcare Systems. IEEE J. Biomed. Health Informatics 26(8): 4238-4247 (2022) - 2021
- [j69]Qinglei Zhai, Yichao He, Gaige Wang, Xiang Hao:
A general approach to solving hardware and software partitioning problem based on evolutionary algorithms. Adv. Eng. Softw. 159: 102998 (2021) - [j68]Gai-Ge Wang, Xiaozhi Gao, Yan Pei:
Call for Special Issue Papers: Deep Learning Assisted Big Data Analytics for Biomedical Applications and Digital Healthcare: Deadline for Manuscript Submission: August 20, 2022. Big Data 9(6): 415-416 (2021) - [j67]Juan Li, Dandan Xiao, Ting Zhang, Chun Liu, Yuan-Xiang Li, Gai-Ge Wang:
Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model. Comput. J. 64(1): 108-131 (2021) - [j66]Yanhong Feng, Suash Deb, Gai-Ge Wang, Amir Hossein Alavi:
Monarch butterfly optimization: A comprehensive review. Expert Syst. Appl. 168: 114418 (2021) - [j65]Juan Li, Yuan-Hua Yang, Hong Lei, Gai-Ge Wang:
Solving Logistics Distribution Center Location with Improved Cuckoo Search Algorithm. Int. J. Comput. Intell. Syst. 14(1): 676-692 (2021) - [j64]Gui Li, Gai-Ge Wang, Junyu Dong, Wei-Chang Yeh, Keqin Li:
DLEA: A dynamic learning evolution algorithm for many-objective optimization. Inf. Sci. 574: 567-589 (2021) - [j63]Muwei Jian, Jiaojin Wang, Hui Yu, Gai-Ge Wang:
Integrating object proposal with attention networks for video saliency detection. Inf. Sci. 576: 819-830 (2021) - [j62]Gai-Ge Wang, Cheng-Long Wei, Yong Wang, Witold Pedrycz:
Improving distributed anti-flocking algorithm for dynamic coverage of mobile wireless networks with obstacle avoidance. Knowl. Based Syst. 225: 107133 (2021) - [j61]Wei-Chang Yeh, Zhifeng Hao, Majid Forghani-elahabad, Gai-Ge Wang, Yih-Lon Lin:
Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks. Reliab. Eng. Syst. Saf. 210: 107427 (2021) - [j60]Miao Li, Chunquan Li, Zhengyu Huang, Jiehui Huang, Gaige Wang, Peter X. Liu:
Spiral-based chaotic chicken swarm optimization algorithm for parameters identification of photovoltaic models. Soft Comput. 25(20): 12875-12898 (2021) - 2020
- [j59]Zi-Min Gu, Gai-Ge Wang:
Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization. Future Gener. Comput. Syst. 107: 49-69 (2020) - [j58]Jiao-Hong Yi, Lining Xing, Gai-Ge Wang, Junyu Dong, Athanasios V. Vasilakos, Amir Hossein Alavi, Ling Wang:
Behavior of crossover operators in NSGA-III for large-scale optimization problems. Inf. Sci. 509: 470-487 (2020) - [j57]Yin Zhang, Gai-Ge Wang, Keqin Li, Wei-Chang Yeh, Muwei Jian, Junyu Dong:
Enhancing MOEA/D with information feedback models for large-scale many-objective optimization. Inf. Sci. 522: 1-16 (2020) - [j56]Xu Tan, Lining Xing, Zhaoquan Cai, Gaige Wang:
Analysis of production cycle-time distribution with a big-data approach. J. Intell. Manuf. 31(8): 1889-1897 (2020) - [j55]Wei Li, Gai-Ge Wang, Amir Hossein Alavi:
Learning-based elephant herding optimization algorithm for solving numerical optimization problems. Knowl. Based Syst. 195: 105675 (2020) - [j54]Logesh Ravi, V. Subramaniyaswamy, Varadarajan Vijayakumar, Xiao-Zhi Gao, Gai-Ge Wang:
Hybrid bio-inspired user clustering for the generation of diversified recommendations. Neural Comput. Appl. 32(7): 2487-2506 (2020) - [j53]Jing Sun, Zhuang Miao, Dunwei Gong, Xiao-Jun Zeng, Junqing Li, Gaige Wang:
Interval Multiobjective Optimization With Memetic Algorithms. IEEE Trans. Cybern. 50(8): 3444-3457 (2020) - [j52]Gai-Ge Wang, Xingjuan Cai, Zhihua Cui, Geyong Min, Jinjun Chen:
High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm. IEEE Trans. Emerg. Top. Comput. 8(1): 20-30 (2020) - [j51]Da Gao, Gai-Ge Wang, Witold Pedrycz:
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism. IEEE Trans. Fuzzy Syst. 28(12): 3265-3275 (2020)
2010 – 2019
- 2019
- [j50]Yanhong Feng, Jiao-Hong Yi, Gai-Ge Wang:
Enhanced Moth Search Algorithm for the Set-Union Knapsack Problems. IEEE Access 7: 173774-173785 (2019) - [j49]Gai-Ge Wang, Amir H. Gandomi, Amir Hossein Alavi, Dunwei Gong:
A comprehensive review of krill herd algorithm: variants, hybrids and applications. Artif. Intell. Rev. 51(1): 119-148 (2019) - [j48]Zhifeng Hao, Wei-Chang Yeh, Jing Wang, Gai-Ge Wang, Bin Sun:
A Quick Inclusion-Exclusion technique. Inf. Sci. 486: 20-30 (2019) - [j47]Mohamed Abdel-Basset, Gai-Ge Wang, Arun Kumar Sangaiah, Ehab Rushdy:
Krill herd algorithm based on cuckoo search for solving engineering optimization problems. Multim. Tools Appl. 78(4): 3861-3884 (2019) - [j46]Gai-Ge Wang, Suash Deb, Zhihua Cui:
Monarch butterfly optimization. Neural Comput. Appl. 31(7): 1995-2014 (2019) - [j45]Guo-Sheng Hao, Meng-Hiot Lim, Yew-Soon Ong, Han Huang, Gai-Ge Wang:
Domination landscape in evolutionary algorithms and its applications. Soft Comput. 23(11): 3563-3570 (2019) - [j44]Gai-Ge Wang, Ying Tan:
Improving Metaheuristic Algorithms With Information Feedback Models. IEEE Trans. Cybern. 49(2): 542-555 (2019) - 2018
- [j43]Yanhong Feng, Gai-Ge Wang:
Binary Moth Search Algorithm for Discounted {0-1} Knapsack Problem. IEEE Access 6: 10708-10719 (2018) - [j42]Rizk Masoud Rizk-Allah, Ragab A. El-Sehiemy, Gai-Ge Wang:
A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution. Appl. Soft Comput. 63: 206-222 (2018) - [j41]Yanhong Feng, Gai-Ge Wang, Junyu Dong, Ling Wang:
Opposition-based learning monarch butterfly optimization with Gaussian perturbation for large-scale 0-1 knapsack problem. Comput. Electr. Eng. 67: 454-468 (2018) - [j40]Shifeng Chen, Rong Chen, Gai-Ge Wang, Jian Gao, Arun Kumar Sangaiah:
An adaptive large neighborhood search heuristic for dynamic vehicle routing problems. Comput. Electr. Eng. 67: 596-607 (2018) - [j39]Srikanth Reddy K, Lokesh Kumar Panwar, Bijaya K. Panigrahi, Enrique Herrera-Viedma, Arun Kumar Sangaiah, Gai-Ge Wang:
Meta-heuristic framework: Quantum inspired binary grey wolf optimizer for unit commitment problem. Comput. Electr. Eng. 70: 243-260 (2018) - [j38]Yanhong Feng, Gai-Ge Wang, Ling Wang:
Solving randomized time-varying knapsack problems by a novel global firefly algorithm. Eng. Comput. 34(3): 621-635 (2018) - [j37]Jiao-Hong Yi, Suash Deb, Junyu Dong, Amir Hossein Alavi, Gai-Ge Wang:
An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems. Future Gener. Comput. Syst. 88: 571-585 (2018) - [j36]Gai-Ge Wang, Suash Deb, Leandro dos Santos Coelho:
Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems. Int. J. Bio Inspired Comput. 12(1): 1-22 (2018) - [j35]Guo-Sheng Hao, Gai-Ge Wang, Zhao-Jun Zhang, De-Xuan Zou:
Optimisation of the high-order problems in evolutionary algorithms: an application of transfer learning. Int. J. Wirel. Mob. Comput. 14(1): 56-63 (2018) - [j34]Amir Hossein Alavi, Zhihua Cui, Amir Hossein Gandomi, Xiao-Zhi Gao, Gai-Ge Wang, Meng-Hiot Lim:
Editorial. Memetic Comput. 10(2): 121-122 (2018) - [j33]Gai-Ge Wang:
Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems. Memetic Comput. 10(2): 151-164 (2018) - [j32]De-Xuan Zou, Suash Deb, Gai-Ge Wang:
Solving IIR system identification by a variant of particle swarm optimization. Neural Comput. Appl. 30(3): 685-698 (2018) - [j31]Yanhong Feng, Gai-Ge Wang, Wenbin Li, Ning Li:
Multi-strategy monarch butterfly optimization algorithm for discounted {0-1} knapsack problem. Neural Comput. Appl. 30(10): 3019-3036 (2018) - [j30]Gai-Ge Wang, Suash Deb, Xinchao Zhao, Zhihua Cui:
A new monarch butterfly optimization with an improved crossover operator. Oper. Res. 18(3): 731-755 (2018) - [j29]Zhihua Cui, Fei Xue, Xingjuan Cai, Yang Cao, Gaige Wang, Jinjun Chen:
Detection of Malicious Code Variants Based on Deep Learning. IEEE Trans. Ind. Informatics 14(7): 3187-3196 (2018) - [c11]Guo-Sheng Hao, Ze-Hui Yi, Lin Wan, Qiu-Yi Shi, Ya-Li Liu, Gai-Ge Wang:
Comparison of Two Swarm Intelligence Algorithms: From the Viewpoint of Learning. ICIC (3) 2018: 821-827 - [c10]Gai-Ge Wang, Danyu Bai, Wenyin Gong, Teng Ren, Xiaobo Liu, Xuesong Yan:
Particle-swarm Krill Herd Algorithm. IEEM 2018: 1073-1080 - [c9]Gai-Ge Wang, Guo-Sheng Hao, Zhihua Cui:
An Enhanced Monarch Butterfly Optimization with Self-adaptive Butterfly Adjusting and Crossover Operators. ICSI (1) 2018: 432-444 - 2017
- [j28]Ke Liu, Dunwei Gong, Fanlin Meng, Huanhuan Chen, Gai-Ge Wang:
Gesture segmentation based on a two-phase estimation of distribution algorithm. Inf. Sci. 394: 88-105 (2017) - [j27]Zhihua Cui, Bin Sun, Gaige Wang, Yu Xue, Jinjun Chen:
A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber-physical systems. J. Parallel Distributed Comput. 103: 42-52 (2017) - [j26]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 Comput. Appl. 28(7): 1619-1634 (2017) - [j25]Rizk Masoud 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. J. Supercomput. 73(3): 1235-1256 (2017) - [c8]Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng, Yuhui Shi, Zhihua Cui:
An improved Brain Storm Optimization algorithm based on graph theory. CEC 2017: 509-515 - [c7]Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng, Zhihua Cui:
An Improved Monarch Butterfly Optimization with Equal Partition and F/T Mutation. ICSI (1) 2017: 106-115 - 2016
- [j24]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Suash Deb:
A Multi-Stage Krill Herd Algorithm for Global Numerical Optimization. Int. J. Artif. Intell. Tools 25(2): 1550030:1-1550030:17 (2016) - [j23]Gai-Ge Wang, Amir Hossein Gandomi, Xin-She Yang, Amir Hossein Alavi:
A new hybrid method based on krill herd and cuckoo search for global optimisation tasks. Int. J. Bio Inspired Comput. 8(5): 286-299 (2016) - [j22]Gai-Ge Wang, Suash Deb, Xiao-Zhi Gao, Leandro dos Santos Coelho:
A new metaheuristic optimisation algorithm motivated by elephant herding behaviour. Int. J. Bio Inspired Comput. 8(6): 394-409 (2016) - [j21]Yanhong Feng, Gai-Ge Wang, Xiao-Zhi Gao:
A Novel Hybrid Cuckoo Search Algorithm with Global Harmony Search for 0-1 Knapsack Problems. Int. J. Comput. Intell. Syst. 9(6): 1174-1190 (2016) - [j20]Gai-Ge Wang, Suash Deb, Amir Hossein Gandomi, Amir Hossein Alavi:
Opposition-based krill herd algorithm with Cauchy mutation and position clamping. Neurocomputing 177: 147-157 (2016) - [j19]De-Xuan Zou, Gaige Wang, Gai Pan, Hongwei Qin:
A modified simulated annealing algorithm and an excessive area model for floorplanning using fixed-outline constraints. Frontiers Inf. Technol. Electron. Eng. 17(11): 1228-1244 (2016) - [j18]Gaige Wang, Mei Lu, Yong-Quan Dong, Xiang-Jun Zhao:
Self-adaptive extreme learning machine. Neural Comput. Appl. 27(2): 291-303 (2016) - [j17]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Suash Deb:
A hybrid method based on krill herd and quantum-behaved particle swarm optimization. Neural Comput. Appl. 27(4): 989-1006 (2016) - [j16]Hai-Cheng Chu, Gai-Ge Wang, Der-Jiunn Deng:
The social networking investigation of metadata of forensic artifacts of a typical WeChat session under Windows. Secur. Commun. Networks 9(18): 5698-5709 (2016) - [j15]Gai-Ge Wang, Amir Hossein Gandomi, Xiangjun Zhao, Hai Cheng Eric Chu:
Hybridizing harmony search algorithm with cuckoo search for global numerical optimization. Soft Comput. 20(1): 273-285 (2016) - [j14]Gai-Ge Wang, Suash Deb, Amir Hossein Gandomi, Zhaojun Zhang, Amir Hossein Alavi:
Chaotic cuckoo search. Soft Comput. 20(9): 3349-3362 (2016) - [c6]Gaige Wang, Mei Lu, Xiang-Jun Zhao:
An improved bat algorithm with variable neighborhood search for global optimization. CEC 2016: 1773-1778 - [c5]Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng, Quande Qin:
A Discrete Monarch Butterfly Optimization for Chinese TSP Problem. ICSI (1) 2016: 165-173 - [c4]Shi Cheng, Quande Qin, Junfeng Chen, Gai-Ge Wang, Yuhui Shi:
Brain Storm Optimization in Objective Space Algorithm for Multimodal Optimization Problems. ICSI (1) 2016: 469-478 - 2015
- [j13]Zhi-Yong Li, Jiao-Hong Yi, Gai-Ge Wang:
A New Swarm Intelligence Approach for Clustering Based on Krill Herd with Elitism Strategy. Algorithms 8(4): 951-964 (2015) - [j12]Hai-Cheng Chu, Gai-Ge Wang, Jong Hyuk Park:
The Digital Fingerprinting Analysis Concerning Google Calendar under Ubiquitous Mobile Computing Era. Symmetry 7(2): 383-394 (2015) - [c3]Gai-Ge Wang, Bao Chang, Zhaojun Zhang:
A Multi-swarm bat algorithm for global optimization. CEC 2015: 480-485 - [c2]Guo-sheng Hao, Chang-Shuai Chen, Gai-Ge Wang, Yong-Qing Huang, De-Xuan Zhou, Zhaojun Zhang:
Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application. ICIC (2) 2015: 1-12 - [c1]Guo-sheng Hao, Chang-Shuai Chen, Gai-Ge Wang, Ping Ling, Ya-Li Liu, Zhaojun Zhang, De-Xuan Zou, Yong-Qing Huang:
Offline determinations of parameter values in genetic algorithm. ICNC 2015: 239-244 - 2014
- [j11]Yanhong 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. Comput. Intell. Neurosci. 2014: 857254:1-857254:17 (2014) - [j10]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi:
Stud krill herd algorithm. Neurocomputing 128: 363-370 (2014) - [j9]Lihong Guo, Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Hong Duan:
A new improved krill herd algorithm for global numerical optimization. Neurocomputing 138: 392-402 (2014) - [j8]Gai-Ge Wang, Lihong Guo, Amir Hossein Gandomi, Guo-sheng Hao, Heqi Wang:
Chaotic Krill Herd algorithm. Inf. Sci. 274: 17-34 (2014) - [j7]Gaige Wang, Lihong Guo, Heqi Wang, Hong Duan, Luo Liu, Jiang Li:
Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Comput. Appl. 24(3-4): 853-871 (2014) - [j6]Gaige Wang, Lihong Guo, Heqi Wang, Hong Duan, Luo Liu, Jiang Li:
Erratum to: Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Comput. Appl. 24(5): 1231 (2014) - [j5]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Guo-sheng Hao:
Hybrid krill herd algorithm with differential evolution for global numerical optimization. Neural Comput. Appl. 25(2): 297-308 (2014) - [j4]Seyedali Mirjalili, Gai-Ge Wang, Leandro dos Santos Coelho:
Binary optimization using hybrid particle swarm optimization and gravitational search algorithm. Neural Comput. Appl. 25(6): 1423-1435 (2014) - 2013
- [j3]Gaige Wang, Lihong Guo:
A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization. J. Appl. Math. 2013: 696491:1-696491:21 (2013) - [j2]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi:
A chaotic particle-swarm krill herd algorithm for global numerical optimization. Kybernetes 42(6): 962-978 (2013) - 2012
- [j1]Gaige Wang, Lihong Guo, Hong Duan, Luo Liu, Heqi Wang:
Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm. J. Sens. Actuator Networks 1(2): 86-96 (2012)