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ORCIDMemetic Computing, Volume 9
Volume 9, Number 1, March 2017
- Yaochu Jin
, Jinliang Ding, Yongsheng Ding:
Thematic issue on "bio-inspired learning for data analysis". 1-2 - Ping Ling, Xiangyang You, Dajin Gao, Tao Gao, Xue Li:
Fast distant support vector data description. 3-14 - Xiaojing Gu, Mengchi He, Xingsheng Gu:
Thermal image colorization using Markov decision processes. 15-22 - Wei Cao, Hua Han, Xian-Kun Sun, Zhijun Fang:
Target re-identification based on adaptive incremental KISS measure learning. 23-30 - Jiaolong Liu, Xinmin Dong, Jianping Xue, Zutong Wang, Zongcheng Liu:
Initial states iterative learning for three-dimensional ballistic endpoint control. 31-41 - Chang Liu:
A bionic incremental model of the fashion industry value chain based on a multicellular network. 43-54 - Dajun Du, Bo Qi, Zhaoxia Wang, Minrui Fei, Chen Peng:
Distributed event-triggered hybrid wired-wireless networked control with H2/H∞ filtering. 55-68 - Chengyong Si, Junjie Hu, Tian Lan, Lei Wang, Qidi Wu:
A combined constraint handling framework: an empirical study. 69-88
Volume 9, Number 2, June 2017
- Meng-Hiot Lim:
Editorial. 89-90 - Khoa Hoang Truong, Pandian Vasant, Balbir Singh Mahinder Singh, Dieu N. Vo:
Swarm based mean-variance mapping optimization for convex and non-convex economic dispatch problems. 91-108 - Junchang Xin, Teng Li, Pei Wang, Zhiqiong Wang:
Routing tree maintenance based on trajectory prediction in mobile sensor networks. 109-120 - Huijuan Lu, Bangjun Du, Jinyong Liu, Haixia Xia, Wai K. Yeap:
A kernel extreme learning machine algorithm based on improved particle swam optimization. 121-128 - Nan Zhang, Shifei Ding:
Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data. 129-139 - Jenny Fajardo Calderín, Antonio D. Masegosa, David A. Pelta:
An algorithm portfolio for the dynamic maximal covering location problem. 141-151 - Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana:
Transfer weight functions for injecting problem information in the multi-objective CMA-ES. 153-180
Volume 9, Number 3, September 2017
- Meng-Hiot Lim:
Editorial. 181-182 - Shan Huang, Botao Wang, Yuemei Chen, Guoren Wang, Ge Yu:
An efficient parallel method for batched OS-ELM training using MapReduce. 183-197 - Xiangyi Cheng, Huaping Liu, Xinying Xu, Fuchun Sun:
Denoising deep extreme learning machine for sparse representation. 199-212 - Murat Sahin, Talip Kellegöz:
An efficient grouping genetic algorithm for U-shaped assembly line balancing problems with maximizing production rate. 213-229 - Yihong Zhang, Xi Jin, Zhijie Wang:
A new modified panoramic UAV image stitching model based on the GA-SIFT and adaptive threshold method. 231-244 - Li Jia, Qiliang Feng:
Combined separable signals based neuro-fuzzy Hammerstein-Wiener model. 245-259 - Sukanta Nama, Apu Kumar Saha, Sima Ghosh:
A Hybrid Symbiosis Organisms Search algorithm and its application to real world problems. 261-280
Volume 9, Number 4, December 2017
- Meng-Hiot Lim:
Editorial. 281-282 - Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett:
A reinforcement learning approach for the scheduling of live migration from under utilised hosts. 283-293 - Ajchara Phu-ang, Arit Thammano:
Memetic algorithm based on marriage in honey bees optimization for flexible job shop scheduling problem. 295-309 - Ajay Sharma, Harish Sharma, Annapurna Bhargava, Nirmala Sharma, Jagdish Chand Bansal:
Optimal placement and sizing of capacitor using Limaçon inspired spider monkey optimization algorithm. 311-331 - Shom Prasad Das, Sudarsan Padhy:
Unsupervised extreme learning machine and support vector regression hybrid model for predicting energy commodity futures index. 333-346 - Mohamed A. Tawhid, Ahmed Fouad Ali:
A Hybrid grey wolf optimizer and genetic algorithm for minimizing potential energy function. 347-359 - Xiaojun Bi, Chao Wang:
An improved NSGA-III algorithm based on elimination operator for many-objective optimization. 361-383
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