Stanford's DeLM cuts multi-agent task costs 50% — without a central orchestrator

Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating ...
IEEE

EMT-DAKT: Evolutionary Multi-Objective Multi-Task Optimization Algorithm Using Deep Models With Adaptive Knowledge Transfer

Abstract: Evolutionary multi-objective multi-task optimization (MO-MTO) can optimize multiple tasks simultaneously by knowledge transfer (KT) between tasks. However, the existing MO-MTO algorithms ...
IEEE

Gradient-Enhanced Kriging-Based Parallel Efficient Global Optimization Algorithm and Its Application in Aerodynamic Shape Optimization

Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...