As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma ...

A new systematic review, Operational AI for Multimodal Urban Transport: A Systematic Literature Review and Deployment Framework for Multi-Objective Control and Electrification, published in the ...

Researchers have studied the potential of combining photovoltaic systems with compressed air energy storage (CAES) to power a commercial building in South Africa. They found that a co-optimized system ...

Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...

Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...

As pressure to reduce costs increases, CFOs have an opportunity to deepen their cross-functional influence and fortify their advisory role to the CEO and other C-suite leaders. Capitalizing on this ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...