Simulation optimization is a widely used tool in the analysis and optimization of complex stochastic systems.The majority of the previous works on simulation optimization rely heavily on detailed system information,su...Simulation optimization is a widely used tool in the analysis and optimization of complex stochastic systems.The majority of the previous works on simulation optimization rely heavily on detailed system information,such as the distributions of input variables and the system dynamics.However,it is usually costly and even unrealistic to obtain such detailed information in practice.To overcome this difficulty,new methods are needed to solve stochastic optimization problems based on simulation outputs or real-world data and fairly limited knowledge of the underlying system,i.e.,in a blackbox setting.In this paper,we provide an up-to-date overview of the subject of blackbox simulation optimization,which has only been attracting attention from the simulation community in recent years.We discuss some of the new stochastic approximation algorithms developed recently for blackbox stochastic optimization.We also discuss challenges and potential future research opportunities.展开更多
智能化科研(AI4R)是科研方法的重大变革。提出科技界不仅要关注科学智能(AI for Science,AI4S),更要重视技术智能(AI for Technology,AI4T);不仅要关注大语言模型(LLM),更要重视大科学模型(LSM)。同时提出,人工智能的突破主要不是靠大算...智能化科研(AI4R)是科研方法的重大变革。提出科技界不仅要关注科学智能(AI for Science,AI4S),更要重视技术智能(AI for Technology,AI4T);不仅要关注大语言模型(LLM),更要重视大科学模型(LSM)。同时提出,人工智能的突破主要不是靠大算力,而是计算模型的转变,中国应当争取在基础模型上做出颠覆性的创新;智能化科研适合做复杂问题的组合搜索,神经网络模型也许已接近能处理困难问题的复杂度阈值点;智能化科研的一种趋势是放弃绝对性,拥抱不确定性,一定时期内要适当容忍“黑盒模型”。展开更多
安全性在电子交易系统中是一个至关重要的问题，该文对传统的电子商务和基于 Mobile Agent的电子交易的安全问题进行了比较，提出了在Grasshopper平台下采用时间限 制的黑箱安全机制和加密跟踪的方法扩展平台本身的安全性，确保了Grassh...安全性在电子交易系统中是一个至关重要的问题，该文对传统的电子商务和基于 Mobile Agent的电子交易的安全问题进行了比较，提出了在Grasshopper平台下采用时间限 制的黑箱安全机制和加密跟踪的方法扩展平台本身的安全性，确保了Grasshopper平台在实 现电子交易过程中整个系统的安全性。展开更多
基金supported in part by the National Natural Science Foundation of China(Nos.7203300372350710219).
文摘Simulation optimization is a widely used tool in the analysis and optimization of complex stochastic systems.The majority of the previous works on simulation optimization rely heavily on detailed system information,such as the distributions of input variables and the system dynamics.However,it is usually costly and even unrealistic to obtain such detailed information in practice.To overcome this difficulty,new methods are needed to solve stochastic optimization problems based on simulation outputs or real-world data and fairly limited knowledge of the underlying system,i.e.,in a blackbox setting.In this paper,we provide an up-to-date overview of the subject of blackbox simulation optimization,which has only been attracting attention from the simulation community in recent years.We discuss some of the new stochastic approximation algorithms developed recently for blackbox stochastic optimization.We also discuss challenges and potential future research opportunities.
文摘智能化科研(AI4R)是科研方法的重大变革。提出科技界不仅要关注科学智能(AI for Science,AI4S),更要重视技术智能(AI for Technology,AI4T);不仅要关注大语言模型(LLM),更要重视大科学模型(LSM)。同时提出,人工智能的突破主要不是靠大算力,而是计算模型的转变,中国应当争取在基础模型上做出颠覆性的创新;智能化科研适合做复杂问题的组合搜索,神经网络模型也许已接近能处理困难问题的复杂度阈值点;智能化科研的一种趋势是放弃绝对性,拥抱不确定性,一定时期内要适当容忍“黑盒模型”。
文摘安全性在电子交易系统中是一个至关重要的问题，该文对传统的电子商务和基于 Mobile Agent的电子交易的安全问题进行了比较，提出了在Grasshopper平台下采用时间限 制的黑箱安全机制和加密跟踪的方法扩展平台本身的安全性，确保了Grasshopper平台在实 现电子交易过程中整个系统的安全性。
