Every day, millions of delivery vehicles crisscross cities and highways, racing against the clock to drop off packages within promised time windows. Behind that familiar sight lies one of the hardest ...

Experienced Google advertisers know where to find the data that’s essential to optimization and insight. But many novices aren’t even aware of the layers they’re missing. And misleading information ...

Dijkstra’s algorithm is guarenteed to find a shortest path between a given start node and all other nodes in a graph. However, this greedy algorithm proceeds blindly, without any sense of progress ...

In this tutorial, we build an advanced Tree-of-Thoughts (ToT) multi-branch reasoning agent from scratch. Instead of relying on linear chain-of-thought reasoning, we design a system that generates ...

ABSTRACT: The Precedence Diagram Method (PDM) is widely used for modeling large and complex construction projects characterized by non-linear execution logic, overlapping activities, and multiple ...

Constructing a machine learning model manually involves a long chain of decisions. Many steps are involved, such as cleaning the data, choosing the right algorithm ...

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 ...

Abstract: Reliable, efficient path planning is the foundation for intelligent systems (mobile robots, UAVs, autonomous driving). In complex environments with dense dynamic obstacles, conventional ...

Abstract: In printed circuit board assembly (PCBA), effectively and reliably addressing the placement routing problem (PRP) for dual-gantry placement machines continues to be a considerable issue. In ...

Abstract — We posit that we can generate more robust and performant heuristics if we augment approaches using LLMs for heuristic design with tools that explain why heuristics underperform and ...