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15th ICSI 2024: Xining, China - Part I
- Ying Tan
, Yuhui Shi
Advances in Swarm Intelligence - 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14788, Springer 2024, ISBN 978-981-97-7180-6
Particle Swarm Optimization
- Mari Spangenberg, Andries P. Engelbrecht
Set-Based Particle Swarm Optimization for the Multi-objective Multi-dimensional Knapsack Problem. 3-19 - Lizandro Nunes da Silva, Daniel Carvalho da Cunha, Raul Vitor Silva Barreto, Robson Dias Alves Timoteo:
Proposal of a Memory-Based Ensemble Particle Swarm Optimizer. 20-32 - Tingting Liu, Yaqi Zhang, Huifen Zhong, Kai Jiang:
A Tri-Swarm Particle Swarm Optimization Considering the Cooperation and the Fitness Value. 33-45 - Xikun Liu, Ben Niu, Wenjie Yi:
A Modified Variable Velocity Strategy Particle Swarm Optimization Algorithm for Multi-objective Feature Selection. 46-57 - Chen Zhang, Mingli Lu, Xu Zhou, Benlian Xu, Zhicheng Jin, Yuejiang Gu:
Multi-strategy Enhanced Particle Swarm Optimization Algorithm for Elevator Group Scheduling. 58-69 - Kaouther Ben Ali
A Self-learning Particle Swarm Optimization Algorithm for Dynamic Job Shop Scheduling Problem with New Jobs Insertion. 70-84 - Xin Zhao
Convolutional Neural Network Architecture Design Using an Improved Surrogate-Assisted Particle Swarm Optimization Algorithm. 85-96
Swarm Intelligence Computing
- Defa Zhu, Lichun Yang, Jiaqi Wu:
Cooperative Search and Rescue Target Assignment Based on Improved Ant Colony Algorithm. 99-109 - Xin Zhao, Shuxin Cui, Tao Zhang, Yahui Cao, Ming Yang, Weijie Liu:
A Metabolic Pathway Design Method Based on Surrogate-Assisted Fireworks Algorithm. 110-121 - Wenting Li, Jun Yang, Peng Shao:
Circle Chaotic Search-Based Butterfly Optimization Algorithm. 122-132 - Yibo Yong, Lianbo Ma, Yang Gao:
An Adaptive Bacterial Foraging Optimization Algorithm Based on Chaos-Enhanced Non-elite Reverse Learning. 133-144 - Yaqi Zhang, Tingting Liu, Ben Niu, Huifen Zhong:
Enhanced Bacterial Foraging Optimization with Dynamic Disturbance Learning and Bilayer Nested Structure. 145-156 - Jiacheng Li, Masato Noto, Yang Zhang:
Improved Kepler Optimization Algorithm Based on Mixed Strategy. 157-170 - Longquan Yong:
Harmony Search with Dynamic Dimensional-Reduction Adjustment Strategy for Large-Scale Absolute Value Equation. 171-181 - Monique Simplicio Viana
Massive Conscious Neighborhood-Based Crow Search Algorithm for the Pseudo-Coloring Problem. 182-196 - Ruidong Xue, Xiaoxia Zhang, Xin Xu, Jiangtao Zhang, Dongdong Cheng, Guoyin Wang:
Multi-strategy Integration Model Based on Black-Winged Kite Algorithm and Artificial Rabbit Optimization. 197-207
Differential Evolution
- Kaiyu Wang, MengChu Zhou, Jiaru Yang, Sicheng Liu, Shangce Gao
Fractional Order Differential Evolution to Solve Parameter Estimation Problem of Solar Photovoltaic Models. 211-222 - Zijing Yu, Peng Shao, Shaoping Zhang:
Enhanced Dingo Optimization Algorithm Based on Differential Evolution and Chaotic Mapping for Engineering Optimization. 223-234 - Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo:
Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine. 235-246 - Rodrigo Colnago Contreras
Metaheuristic Algorithms for Enhancing Multicepstral Representation in Voice Spoofing Detection: An Experimental Approach. 247-262
Evolutionary Algorithms
- Xiaoxiong Wang, Guochen Zhang, Chaoli Sun, Hao Wang, Kaili Zhao:
A Multi-modal Multi-objective Evolutionary Algorithm Based on Multi-criteria Grouping. 265-276 - Junru Tang
Constructing Robust and Influential Networks Against Cascading Failures via a Multi-objective Evolutionary Algorithm. 277-288 - Junhui Li, Zixian Zeng, Jianpeng Ye, Min Yue, Huan Mo, Qinqin Fan:
Fault Reconfiguration of Distribution Networks Using an Enhanced Multimodal Multi-objective Evolutionary Algorithm. 289-299 - Limiao Zhang
Attacking Evolutionary Algorithms via SparseEA. 300-312 - Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu:
Evolutionary Computation with Distance-Based Pretreatment for Multi-modal Problems. 313-322
Multi-agent Reinforcement Learning
- Maoguang Wang, Yuxiao Chen, Jiaqi Yan:
Stock Price Prediction Model Based on Blending Model Improved with Sentiment Factors and Double Q-learning. 325-337 - Xiaohua Zeng, Wenhong Wei, Ruichen Hu, Fei Wang, Jieping Cai:
Stock Price Prediction Model Integrating an Improved NSGA-III with Random Forest. 338-348 - Manuel Eberhardinger
Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming. 349-365 - Nianfeng Weng, Yi Liu, Qibin Zheng, Weiwei Duan, Kun Liu, Wei Qin:
Diversity Improved Genetic Algorithm for Weapon Target Assignment. 366-378 - Xuge Li, Yueyun Zhong, Chengpeng Hu:
An Investigation of Underground Rescue Scheduling with Multi-agent Reinforcement Learning. 379-390 - Yupeng Fu, Yuan Xiao, Jun Fang, Xiangyang Deng, Ziqiang Zhu, Limin Zhang:
Distributed Advantage-Based Weights Reshaping Algorithm with Sparse Reward. 391-400
Multi-objective Optimization
- Yaxin Li, Li Yan, Kunjie Yu, Jing Liang, Boyang Qu:
A Joint Prediction Strategy Based on Multiple Feature Points for Dynamic Multi-objective Optimization. 403-417 - Zijian Jiang, Chaoli Sun, Xiaotong Liu, Jing Li, Kexin Wang:
An Expensive Multi-objective Optimization Algorithm Based on Regional Density Ratio. 418-429 - Peipei Chen, Li Yan, Yi Du:
Robust Lightweight Neural Network Architecture Search Based on Multi-objective Particle Swarm Optimization. 430-441 - Shuxian Li, Yong Zhang, Qing Wang, Linchun He, Huijun Li, Bin Ye:
A Surrogate-Assisted Multi-objective Evolutionary Algorithm Guided by Hybrid Reference Points. 442-450 - Zhenghan Zhou
Multi-objective Path Planning of Multiple Unmanned Air Vehicles Using the CCMO Algorithm. 451-462 - Yuanhui Hao, Chubing Guo, Liangjun Ke:
Multi-UAV Collaborative Detection Based on Reinforcement Learning. 463-474
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