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14th ICSI 2023: Shenzhen, China - Part I
- Ying Tan
, Yuhui Shi, Wenjian Luo:
Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Shenzhen, China, July 14-18, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13968, Springer 2023, ISBN 978-3-031-36621-5
Swarm Intelligence Computing
- Anasse Bari, Robin Zhao, Jahnavi Swetha Pothineni, Deepti Saravanan:
Swarm Intelligence Algorithms and Applications: An Experimental Survey. 3-17 - Zhaoyang Zeng, Wensheng Peng, Jiao Li:
Overview of Complex Intelligent System Reliability Technology. 18-29 - Eugene V. Larkin, Tatiana A. Akimenko, Aleksey Bogomolov:
The Swarm Hierarchical Control System. 30-39
Swarm Intelligence Optimization Algorithms
- Beena S. Lawrence, S. S. Vinod Chandra
Multi-Modal Honey Bee Foraging Optimizer for Weapon Target Assignment Problem. 43-54 - Siqi Liang, Chang He, Haibin Ouyang:
A Dual-Strategy Contest Harmony Search Algorithm Based on Population State for the System Reliability-Redundancy Allocation Problems. 55-67 - Adnan Ashraf
An Improved Fire Hawks Optimizer for Function Optimization. 68-79 - Xiaoqiu Yu:
Hybrid Artificial Ecosystem-Based Optimization Algorithm Solves Photovoltaic Models Parameter Identification Problem. 80-91 - N. K. Sreeja, N. K. Sreelaja:
Improved Ant Colony Optimization Based Binary Search for Point Pattern Matching for Efficient Image Matching. 92-105 - N. K. Sreelaja, N. K. Sreeja:
Hierarchical Heterogeneous Ant Colony Optimization Based Approach to Optimize File Similarity Searches Using ssDeep. 106-119
Particle Swarm Optimization Algorithms
- Yuji Sato
PSO with Local Search Using Personal Best Solution for Environments with Small Number of Particles. 123-135 - Xiaole Liu, Chenhan Wu, Peilin Chen, Yongjin Wang:
Hybrid Algorithm Based on Phasor Particle Swarm Optimization and Bacterial Foraging Optimization. 136-147 - Peilin Chen, Chenhan Wu, Xiaole Liu, Yongjin Wang:
Hybrid Algorithm Based on Phasor Particle Swarm Optimization and Firefly Algorithm. 148-157 - Junqi Zhang, XuRui Huang, Huan Liu, MengChu Zhou:
Particle Swarm Optimizer Without Communications Among Particles. 158-167 - Guoyuan Zhou
An Atomic Retrospective Learning Bare Bone Particle Swarm Optimization. 168-179 - Shuai Li, Ruizhao Zheng, Yang Yang, Chunlin He, Yong Zhang:
A PSO-Based Product Design Tolerance Optimization Method Considering Product Robustness. 180-191
Genetic Algorithms
- Srisatja Vitayasak, Pupong Pongcharoen:
Competitive Learning and Dynamic Genetic Algorithms for Robust Layout Designs Under Uncertainties. 195-207 - Ziru Lun, Zhanyu Ye, Qunfeng Liu:
A Bilevel Genetic Algorithm for Global Optimization Problems. 208-218 - Somlak Wannarumon Kielarova
Genetic Algorithm for Product Design Optimization: An Industrial Case Study of Halo Setting for Jewelry Design. 219-228 - Jiaxuan Wang
Quad-Criteria Task Scheduling in Multicores Based on NSGAIII. 229-241 - Xiuli Wu, Yaqi Zhang, Kunhai Zhao:
An Improved NSGA-II for Solving Reentrant Flexible Assembly Job Shop Scheduling Problem. 242-255
Optimization Computing Algorithms
- Yi Liu, Gengsong Li, Wei Qin, Xiang Li, Kun Liu, Qiang Wang, Qibin Zheng:
Multi-objective Baby Search Algorithm. 259-270 - Zhaoxi Ou, Shuai Wang, Shun Cai:
A Memetic Algorithm for Solving the Robust Influence Problem on Directed Networks. 271-283 - Jiacheng Li, Masato Noto, Yang Zhang:
Adaptive Artificial Bee Colony Algorithm Considering Colony's Memory. 284-296 - Waqas Haider Khan Bangyal, Rabia Shakir, Najeeb Ur Rehman, Adnan Ashraf
An Improved Seagull Algorithm for Numerical Optimization Problem. 297-308 - Haoran Ma, Jiahao Zhang, Wenhong Wei, Wanyou Cheng, Qunfeng Liu:
A Modified Gaining-Sharing Knowledge Algorithm Based on Dual-Population and Multi-operators for Unconstrained Optimization. 309-319
Neural Network Search and Large-Scale Optimization
- Maiyue Chen, Ying Tan:
GEFWA: Gradient-Enhanced Fireworks Algorithm for Optimizing Convolutional Neural Networks. 323-333 - Xiaojie An, Lianbo Ma, Yuee Zhou, Nan Li, TieJun Xing, Yingyou Wen, Chang Liu, Haibo Shi:
Neural Architecture Search Based on Improved Brain Storm Optimization Algorithm. 334-344 - Jianjun Cao, Chumei Gu
Beam-GBAS for Multidimensional Knapsack Problems. 345-355 - Yuetong Sun, Peilan Xu, Ziyu Zhang, Tao Zhu, Wenjian Luo:
Brain Storm Optimization Integrated with Cooperative Coevolution for Large-Scale Constrained Optimization. 356-368
Multi-objective Optimization
- Zeneng She, Wenjian Luo, Yatong Chang, Zhen Song, Yuhui Shi:
On the Privacy Issue of Evolutionary Biparty Multiobjective Optimization. 371-382 - Biao Xu, Yang Chen, Ke Li, Zhun Fan, Dunwei Gong, Lin Bao:
Dynamic Multi-modal Multi-objective Evolutionary Optimization Algorithm Based on Decomposition. 383-389 - Tianwei Zhou, Xizhang Yao, Guanghui Yue, Ben Niu:
A WGAN-Based Generative Strategy in Evolutionary Multitasking for Multi-objective Optimization. 390-400 - Ke Shi, Yu Zhang
A Two-Stage Evolutionary Algorithm with Repair Strategy for Heat Component-Constrained Layout Optimization. 401-412 - Yang Liu, TieJun Xing, Yuee Zhou, Nan Li, Lianbo Ma, Yingyou Wen, Chang Liu, Haibo Shi:
A Large-Scale Multi-objective Brain Storm Optimization Algorithm Based on Direction Vectors and Variance Analysis. 413-424 - Yue Liu, Shi Cheng
Modified Brain Storm Optimization Algorithm for Solving Multimodal Multiobjective Optimization Problems. 425-437 - Xiaoshu Xiang, Ling Wu, Haiping Ma, Xingyi Zhang:
Balancing Measurement Efficiency, Test Diversity and Security for Item Selection in On-the-Fly Assembled Multistage Adaptive Testing via a Multi-objective Evolutionary Algorithm. 438-451 - Liyan Qiao, Sibo Hou:
CCGSK-PSO: Constrained Multi-objective Particle Swarm Optimization Algorithm Based on Co-evolution and Gaining-Sharing Knowledge. 452-463 - Yuze Zhang
A Diversified Multi-objective Particle Swarm Optimization Algorithm for Unsupervised Band Selection of Hyperspectral Images. 464-475 - Li Yan, Yiran Li, Boyang Qu, Baihao Qiao, Hongxin Duan, Shunge Guo:
Differential Evolution Using Special Sorting for Multimodal Multi-objective Optimization with Local Pareto Sets. 476-487
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