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ORCIDSwarm and Evolutionary Computation, Volume 89
Volume 89, 2024
- Hangqi Ding
, Yue Wu, Maoguo Gong, Hao Li, Peiran Gong, Qiguang Miao, Wenping Ma, Yiping Duan, Xiaoming Tao:
Point cloud registration via sampling-based evolutionary multitasking. 101535 - Zeliang Ju, Yan Wang, Zhen Quan, Xiang Liu, Zhicheng Ji:
Bottleneck alleviation and scheduling optimization of flexible manufacturing system based on information-energy flow model. 101600 - Yi Xia, Jiepeng Liu, Hongtuo Qi:
A population-based DNN-augmented optimization method for designing truss structures. 101613 - Yuze Zhang, Qiuzhen Lin, Lingjie Li, Zhijiao Xiao, Zhong Ming, Victor C. M. Leung:
Multiobjective band selection approach via an adaptive particle swarm optimizer for remote sensing hyperspectral images. 101614 - Vu Phi Tran, Matthew A. Garratt, Sreenatha G. Anavatti, Sridhar Ravi:
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments. 101615 - Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay:
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems. 101616 - Damla Yüksel, Levent Kandiller, Mehmet Fatih Tasgetiren:
Q-learning guided algorithms for bi-criteria minimization of total flow time and makespan in no-wait permutation flowshops. 101617 - Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan:
Towards multi-objective high-dimensional feature selection via evolutionary multitasking. 101618 - Junqing Li, Jia-ke Li, Kai-zhou Gao, Ying Xu:
A double-Q network collaborative multi-objective optimization algorithm for precast scheduling with curing constraints. 101619 - Hu Peng, Jianpeng Xiong, Chen Pi, Xinyu Zhou, Zhijian Wu:
A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting. 101621 - Yu Sun, Daijin Jiang:
An improved problem transformation algorithm for large-scale multi-objective optimization. 101622 - Rafal Biedrzycki:
Revisiting CEC 2022 ranking: A new ranking method and influence of parameter tuning. 101623 - Lucas A. da Silveira, Thaynara A. de Lima, Mauricio Ayala-Rincón:
On reconfiguring heterogeneous parallel island models. 101624 - Yunbao Xu, Xuemei Jiang, Jun Li, Lining Xing, Yanjie Song:
A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem. 101625 - Berk Cetinsaya, Dirk Reiners, Carolina Cruz-Neira:
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013-2023). 101626 - Yu Sun, Han Cao:
An agent-assisted heterogeneous learning swarm optimizer for large-scale optimization. 101627 - Panpan Zhang, Ye Tian, Yajie Zhang, Xingyi Zhang:
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers. 101628 - Yiyun Gong, Haibo Yu, Li Kang, Gangzhu Qiao, Dongpeng Guo, Jianchao Zeng:
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection. 101629 - Bahman Ahmadi, Ali Jamali, Rammohan Mallipeddi, Nader Nariman-Zadeh, Behzad Ahmadi, Hamid Khayyam:
Bi-level game theoretic approach for robust design: A case study of path-generating four-bar. 101636 - Yu Sun, Shiming Li:
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range. 101637 - Xueqing Wang, Jinhua Zheng, Zhanglu Hou, Yuan Liu, Juan Zou, Yizhang Xia, Shengxiang Yang:
A novel preference-driven evolutionary algorithm for dynamic multi-objective problems. 101638 - Wang Che, Jinhua Zheng, Yaru Hu, Juan Zou, Shengxiang Yang:
Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement. 101639 - Aysun Öcal, Hasan Koyuncu:
An in-depth study to fine-tune the hyperparameters of pre-trained transfer learning models with state-of-the-art optimization methods: Osteoarthritis severity classification with optimized architectures. 101640 - Xiaofeng Han, Tao Chao, Ming Yang, Miqing Li:
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation. 101641 - El-Ghazali Talbi:
Metaheuristics for variable-size mixed optimization problems: A unified taxonomy and survey. 101642 - Youjun An, Ziye Zhao, Kaizhou Gao, Yuanfa Dong, Xiaohui Chen, Bin Zhou:
A self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based preventive maintenance and dynamic repairman assignment. 101643 - Yuan Liu, Jiazheng Li, Juan Zou, Zhanglu Hou, Shengxiang Yang, Jinhua Zheng:
Continuous variation operator configuration for decomposition-based evolutionary multi-objective optimization. 101644 - Shuai Zhang, Yong Pang, Fuwen Liu, Muchen Wang, Ziyun Kan, Xueguan Song:
Random projection enhancement: A Novel method for improving performance of surrogate models. 101645 - Baoshan Sun, Hao Huang, Zheng-Yi Chai, Ying-Jie Zhao, Hong-Shen Kang:
Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT. 101646 - Xin-Xin Xu, Jian-Yu Li, Xiao-Fang Liu, Hui-Li Gong, Xiang-Qian Ding, Sang-Woon Jeon, Zhi-Hui Zhan:
A Co-evolutionary Multi-population Evolutionary Algorithm for Dynamic Multiobjective Optimization. 101648 - Honglin Jin, Xueping Wang, Shi Cheng, Yifei Sun, Mingming Zhang, Hui Lu, Husheng Wu, Yuhui Shi:
Solving dynamic multimodal optimization problems via a niching-based brain storm optimization with two archives algorithm. 101649 - Hao Chi, Hongyan Sang, Biao Zhang, Peng Duan, Wen-Qiang Zou:
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop. 101651 - Guo-Zheng Li, Weiwei Zhang, Caitong Yue, Yirui Wang:
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm. 101652 - Yang Wang, Guojiang Xiong, Shengping Xu, Ponnuthurai Nagaratnam Suganthan:
Large-scale power system multi-area economic dispatch considering valve point effects with comprehensive learning differential evolution. 101620 - Essam H. Houssein, Ahmed G. Gad, Yaser Maher Wazery, Ponnuthurai Nagaratnam Suganthan:
Corrigendum to "Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends" [Swarm and Evolutionary Computation, Volume 62 (April 2021), 100841]. 101647 - Li Wang, Yumeng Yang, Lili Xu, Ziyu Ren, Shurui Fan, Yong Zhang:
A particle swarm optimization-based deep clustering algorithm for power load curve analysis. 101650 - Essam H. Houssein, Mosa E. Hosney, Marwa M. Emam, Diego Oliva, Eman M. G. Younis, Abdelmgeid A. Ali, Waleed M. Mohamed:
Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets. 101656
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