Ecommerce Fastlane

GreenScale: Multi-Objective Autoscaling for SLA, Cost, and Energy Efficiency in Cloud-Native Systems

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

Multi-Objective Optimization of Machine Learning-Based Nonlinear Equalizers for Digital Coherent Optical Interconnects

Abstract: The growing demand for high-capacity optical networks has driven the advancement of digital coherent optical communication systems, which rely on sophisticated signal processing to mitigate ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

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 ...
Scientific Research Publishing

Multi-Objective Evolutionary Optimization for Qujing’s Cultural-Tourism Routes ()

School of Information Engineering, Qujing Normal University, Qujing, China. Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
IEEE

Multi-Objective Optimization for Safety in the Grounding of AC Substations

Abstract: This work proposes a multi-objective optimization problem for the optimal design of grounding systems, considering personnel safety limits and design guidelines defined in the IEEE Standard ...