A5103025038- Evaluation Methods in Various Fields
- Optimization and Search Problems
- Scheduling and Optimization Algorithms
- Scientific Computing and Data Management
- Advanced Manufacturing and Logistics Optimization
- IoT and Edge/Fog Computing
- Remote Sensing and Land Use
- Evaluation and Optimization Models
- Advanced Decision-Making Techniques
- Cloud Computing and Resource Management
- Transportation and Mobility Innovations
- Software System Performance and Reliability
- Energy Load and Power Forecasting
- Machine Fault Diagnosis Techniques
- Smart Grid and Power Systems
- Robotic Path Planning Algorithms
- Manufacturing Process and Optimization
- Simulation Techniques and Applications
- Systems Engineering Methodologies and Applications
- Optimization and Packing Problems
- Safety and Risk Management
- Extenics and Innovation Methods
- Environmental Quality and Pollution
- Vehicle Routing Optimization Methods
- Industrial Technology and Control Systems
Central South University
2019
Shanghai Electric (China)
2015
Xi'an Shiyou University
2009
Large language models (LLMs) are evolving into autonomous decision-makers, raising concerns about catastrophic risks in high-stakes scenarios, particularly Chemical, Biological, Radiological and Nuclear (CBRN) domains. Based on the insight that such can originate from trade-offs between agent's Helpful, Harmlessness Honest (HHH) goals, we build a novel three-stage evaluation framework, which is carefully constructed to effectively naturally expose risks. We conduct 14,400 agentic simulations...
Over the last few years, at ByteDance, our compute infrastructure scale has been expanding significantly due to expedited business growth. In this journey, meet hyper-scale growth, some groups resorted managing their own stack running different scheduling systems such as Kubernetes, YARN which created two major pain points: increasing resource fragmentation across and inadequate elasticity between workloads of priorities. Isolation (and management) leads inefficient utilization prevents us...
The purpose of this paper is to promote the intensive land-use districts and countries, provide theoretical basis for evaluation on other province China. Method AHP ENTROPY were employed. result gives system counties, AHP-ENTROPY method provided. In accordance with location function different area, data years, can provides domain-value level. This also calculate variable weights by combination objective subjective weights. It make a more about level some in particular year, enhance...
This paper proposes an optimization model that simultaneously incorporates the selection of advertising investments plan and transportation scheduling for low carbon logistics routing to achieve profit maximization in company's investment decision-making. The main contents consist four steps: (1) maximization, construct Investment decision is affected by volume demands, (2) design demand analysis based on dynamic theory, (3) build low-carbon with minimum distribution cost, (4) apply...
To predict the production scheduling performance in a shop floor, an intelligent method based on modified league championship algorithm is proposed.The overcomes problems like premature, being stuck to local minima, etc.A new match schedule introduced enhance competition capability for every single team.One scheme updating team member presented diversify population.The application of proposed showed that novel approach could provide accurate prediction indexes and capable used real world floor.
In order to resolve problems existed in development zone land use and management, provide decision support the regulators policy makers, this paper proposed intensive evaluation indicator system based on current status of land. Then base making full AHP advantages multi-criteria analysis method, we adopt UML modeling thinking function use. This also makes an via requirements, logical structure, dynamic structure process respectively. At last implement prove that method is feasibility...