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ORCIDInternational Journal of Bio-Inspired Computation, Volume 17
Volume 17, Number 1, 2021
- Saeid Parvandeh, Mohammadreza Boroomand, Fahimeh Boroumand, Pariya Soltani:
A modified single and multi-objective bacteria foraging optimisation for the solution of quadratic assignment problem. 1-13 - Meng Xu, Maoqing Zhang, Xingjuan Cai, Guoyou Zhang:
Adaptive neighbourhood size adjustment in MOEA/D-DRA. 14-23 - Li Lv, Jiayuan Wang, Runxiu Wu, Hui Wang, Ivan Lee:
Density peaks clustering based on geodetic distance and dynamic neighbourhood. 24-33 - Petra Cechová
, Martin Kubala:
Comparison of three nature inspired molecular docking algorithms. 34-41 - Zhen Wei, Jinghuan Nie:
Research on interface design based on user's mental model driven by interactive genetic algorithm. 42-51 - Ünal Çavusoglu, Abdullah Hulusi Kökçam:
A new approach to design S-box generation algorithm based on genetic algorithm. 52-62 - Jun Suk Kim, Chang Wook Ahn:
Expediting population diversification in evolutionary computation with quantum algorithm. 63-73
Volume 17, Number 2, 2021
- Jue Li, Feng Cao, Honghong Cheng, Yuhua Qian:
Learning the number of filters in convolutional neural networks. 75-84 - R. Pugalenthi, F. Sangeetha Francelin Vinnarasi, P. Mohan Kumar, R. Arokia Renjith:
Latent dactyloscopy pairing: presentation attained through feedback from EPITOME. 85-94 - B. Hemalatha, N. Rajkumar:
A modified machine learning classification for dental age assessment with effectual ACM-JO based segmentation. 95-104 - Bingda Tong, Lin Chen, Haibin Duan:
A path planning method for UAVs based on multi-objective pigeon-inspired optimisation and differential evolution. 105-112 - Jailsingh Bhookya, Ravi Kumar Jatoth:
Sine-cosine-algorithm-based fractional order PID controller tuning for multivariable systems. 113-120 - Yang Cao, Li Zhou, Fei Xue:
An improved NSGA-II with dimension perturbation and density estimation for multi-objective DV-Hop localisation algorithm. 121-130
Volume 17, Number 3, 2021
- Shang Xiang, Lining Xing, Ling Wang, Yongquan Zhou, Guansheng Peng:
Enhanced pigeon inspired optimisation approach for Agile Earth observation satellite scheduling. 131-141 - Alireza Fallahpour, Kaveh Barri, Kuan Yew Wong, Pengcheng Jiao, Amir Hossein Alavi:
An integrated data mining approach to predict electrical energy consumption. 142-153 - Zhaolu Guo, Wensheng Zhang, Shenwen Wang:
Improved gravitational search algorithm based on chaotic local search. 154-164 - Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, Masayuki Murata:
Classification of diversified web crawler accesses inspired by biological adaptation. 165-173 - Mai S. Mabrouk, Heba M. Afify, Samir Y. Marzouk:
3D reconstruction of structural magnetic resonance neuroimaging based on computer aided detection. 174-181 - Mengzhen Huo, Yimin Deng, Haibin Duan:
Cauchy-Gaussian pigeon-inspired optimisation for electromagnetic inverse problem. 182-188 - Manizheh Yazdani, Nima Jafari Navimipour:
Join query optimisation in the distributed databases using a hybrid harmony search and artificial bee colony algorithm. 189-198
Volume 17, Number 4, 2021
- Nadia Nedjah, Luiza de Macedo Mourelle, Reinaldo Gomes Morais:
Inspiration-wise swarm intelligence meta-heuristics for continuous optimisation: a survey - part III. 199-214 - Samira Ghorbanpour, Trinadh Pamulapati, Rammohan Mallipeddi:
Swarm and evolutionary algorithms for energy disaggregation: challenges and prospects. 215-226 - Yingkang Hu, Xuesong Yan:
Neural network-assisted expensive optimisation algorithm for pollution source rapid positioning of drinking water. 227-235 - Boyang Qu, Qian Zhou, Yongsheng Zhu, Jing Liang, Caitong Yue, Yuechao Jiao, Li Yan, Ponnuthurai Nagaratnam Suganthan:
An improved brain storm optimisation algorithm for energy-efficient train operation problem. 236-245 - Sajad Ahmad Rather, P. Shanthi Bala:
Application of constriction coefficient-based particle swarm optimisation and gravitational search algorithm for solving practical engineering design problems. 246-259 - Beshiba Wilson, Julia Punitha Malar Dhas, Ruma Madhu Sreedharan, Ram P. Krish:
Ensemble learning-based classification on local patches from magnetic resonance images to detect iron depositions in the brain. 260-266
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