MEXT Introduces AI-Driven Memory Optimization to Help Curb Rising Infrastructure Costs

Semiconductor / EDA: One of the World's Leading Chip Manufacturers is accelerating time-to-results across advanced electronic design automation (EDA) workloads. By expanding memory capacity, MEXT ...

CloudBolt Research Exposes the “Trust Gap” Blocking Kubernetes Optimization

CloudBolt Software, a recognized leader in Kubernetes optimization and hybrid cloud management, today announced the release of i ...

How AI-Powered Optimization Can Define The Next Phase Of Cloud And AI Maturity

Global IT spending has crossed the multitrillion-dollar mark, with AI infrastructure representing one of the fastest-growing ...
IEEE

Fully Tensorized GPU-Accelerated Multi-Population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems

Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...
IEEE

A Decision Variables Classification-Based Evolutionary Algorithm for Constrained Multi-Objective Optimization Problems

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...