Selection of dual-channel supply chain cooperation mode of older adults care service under the government subsidy strategy. by Tong Zhao, Qiaoming Hou

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Optimizing Virtual Power Plants Cooperation via Evolutionary Game Theory: The Role of Reward–Punishment Mechanisms by Lefeng Cheng, Pengrong Huang, Mengya Zhang, Kun Wang, Kuozhen Zhang, Tao Zou, Wentian Lu

“…Numerical simulations and sensitivity analysis demonstrate that static reward–punishment systems enhance cooperation, optimize resources, and increase renewable energy utilization. …”
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Multi-constrained trusted cooperative task migration strategy for edge computing by Guangxue YUE, Yasheng DAI, Xiaohui YANG, Youkang ZHU, Zhenxu YOU, Jiansheng LIU

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Optimizing the safety-efficiency trade-off on nationwide air traffic network flow using cooperative co-evolutionary paradigm by Mingming Xiao, Chen Hong, Kaiquan Cai

“…Nationwide air traffic network flow optimization (ATNFO) is an effective way to pursue trade-offs between safety and efficiency by optimizing flight departure time-slots and routes within a given time period and under the latest airspace resources. …”
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Strategic Interactions in Omnichannel Retailing: Analyzing Brand Competition and Optimal Strategy Selection by Jing Yu, Yufei Ren, Chi Zhou

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Improvement and Optimization of Feature Selection Algorithm in Swarm Intelligence Algorithm Based on Complexity by Bingsheng Chen, Huijie Chen, Mengshan Li

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Power Optimized Single Relay Selection with an Improved Link-Adaptive-Regenerative Protocol by Jie Li, Jianrong Bao, Shenji Luan, Bin Jiang, Chao Liu

“…To improve the reliability and efficiency in cooperative communications, a power optimized single relay selection scheme is proposed by increasing the diversity effort with an improved link-adaptive-regenerative (ILAR) protocol. …”
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Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks by Bo Yin, Yanbo Chen, Zufan Zhang, Mengjun Wang, Shaohui Sun

“…In addition, in mmWave heterogeneous networks with densely deployed small cells, strong interference beams are determined through inter-cell cooperation, and orthogonal codes are allocated to the optimal beams and strong interference beams to reduce beam interference from adjacent cells. …”
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Low-complexity timer-based multi-relay selection and sequential power allocation of cooperative cognitive radio networks for future Internet of things by Md Arifur Rahman, Youngdoo Lee, Insoo Koo

“…Thus, it is essential to optimize power allocation and multi-relay selection jointly to maximize the secondary system throughput. …”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

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Intelligent error-proof logic multi-factor cooperative active optimization based on knowledge base and generative adversarial network by Jinming Liu, Sheng Yang, Dunlin Zhu, Tianyun Luo, Jinglong He, Shengyuan Li

“…In order to solve the reduced prediction accuracy caused by insufficient training samples, data imbalance and improper feature selection of the intelligent error prevention system in the power grid, an intelligent errorproof logic multi-factor cooperative active optimization based on a knowledge base and generative adversarial network was designed. …”
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Cluster Networking and Cooperative Localization Based on Biogeography Optimization and Improved Super-Multidimensional Scaling for Multi-Unmanned Aerial Vehicles by Shuhao Zhang, Huimin Zhang, Ying Zhan, Xiaokai Wei, Yang Liu

“…However, the frequent exchange of localization data among UAVs leads to significant energy consumption and escalates the computational complexity involved in multi-UAV cooperative localization tasks. To address these challenges, this paper proposes a cooperative localization algorithm that integrates a biogeography optimization-based cluster networking and adaptive sampling-improved Nystrom super-multidimensional scaling (BOCN-ASNSMS). …”
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Synergistic Effects of Flower Color and Mechanical Barriers on Pollinator Selection Within the Papilionoideae of Fabaceae by Xiang Zhao, Ruochun Gao, Jie Bai, Jing Rong, Xuexia Wei, Hairong Wang, Xiaojuan Zhu, Kun Sun, Qinzheng Hou

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Leader-follower Optimal Selection Method for Distributed Control System in Active Distribution Networks by Jian Le, Liangang Zhao, Cao Wang, Qian Zhou, Yang Wang

“…In addition, the response speed of a DG control group can be improved effectively when the single or multiple leaders are selected optimally.…”
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Cooperative Drone and Water Supply Truck Scheduling for Wildfire Fighting Using Deep Reinforcement Learning by Lin-Yuan Bai, Xin-Ya Chen, Hai-Feng Ling, Yu-Jun Zheng

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Optimizing Oncology Generic Medication Selection in the Gulf Region: Expert Consensus and MCDA Tool Development by Anas Hamad, Omar AbdulAziz, Osama Abu Tabar, Sara Al Balushi, Sana Alblooshi, Mohamad Alfar, Eren Dawoud, Fahmeeda Khan, Abdulrahman Nabeel, Wael Sayam, Ahmad ElSheashaey

“…Addressing these challenges is crucial to ensuring optimal access to oncology treatments. # Methods This study employed multicriteria decision analysis to evaluate key factors influencing the selection of off-patent oncology drugs. …”
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Investigation into the Efficient Cooperative Planning Approach for Dual-Arm Picking Sequences of Dwarf, High-Density Safflowers by Zhenguo Zhang, Peng Xu, Binbin Xie, Yunze Wang, Ruimeng Shi, Junye Li, Wenjie Cao, Wenqiang Chu, Chao Zeng

“…In conclusion, the LTSACO algorithm demonstrates high efficiency and strong robustness, providing an effective optimization solution for multi-arm cooperative picking and significantly contributing to the advancement of multi-arm robotic picking systems.…”
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Optimizing Ecosystem Partner Selection Decisions for Platform Enterprises: An Embedded Innovation Demand-Driven Framework by Baoji Zhu, Renyong Hou, Quan Zhang

“…It then employs QFD to quantify decision indicator weights for ecosystem partner selection. By integrating Prospect Theory with Field Theory, this study develops both a decision evaluation model and an optimization model to achieve the optimal screening of ecosystem partners. …”
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Energy-efficient device selection and resource allocation for edge-driven hierarchical federated learning by Yongwen Liu, Dongqing Liu, Lyes Khoukhi, Bo Wang, Lei Zhang, Yaoli Xu

“…However, existing frameworks often struggle with energy efficiency, adaptability to dynamic conditions, and the complex interplay between device selection and resource allocation. In this paper, we propose an energy-efficient hierarchical federated learning framework that jointly optimizes IoT device selection, local resource allocation, and base station resource allocation across a three-layer architecture. …”
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Two-Phase Optimization Models for Liner Shipping Network Based on Hub Ports Cooperation: From the Perspective of Supply-Side Reform in China by Jingmiao Zhou, Yuzhe Zhao, Xingwen Niu

“…Specifically, this paper created two-phase optimization models for LSN based on the selection of hub ports. …”
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