Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

JEPI Vs. DIVO: The Gap With The S&P 500 Is The Point, Not The Problem

DIVO is rated Buy, while JEPI is downgraded to Hold due to current market regime alignment, not because of underperformance ...
Communications of the ACM

The LLVM Compiler Infrastructure

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...
Frontiers

Multi-objective Forest Management under Global Change: Forest Ecosystem Response Mechanisms and Resource Utilization

Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...

Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
IEEE

Deep Reinforcement Learning Model for Robust Travel Salesman Problem via Multiobjective Optimization Framework

Abstract: Deep Reinforcement Learning (DRL) has gained significant attention for its ability to solve combinatorial optimization problems, including the Traveling Salesman Problem (TSP). While ...