Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

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 ...

In this tutorial, we build a Wet-Lab Protocol Planner & Validator that acts as an intelligent agent for experimental design and execution. We design the system using Python and integrate Salesforce’s ...

While exploring and using the framework, i noticed that the documentation under docs/api is currently incomplete. The lack of comprehensive API documentation makes it quite time-consuming to ...

optimizer = optimization.OptimizerGeneric(problem) res = optimizer.optimize(tol=1e-9) producing a merit function value of 0.288. However, on my setup, running: res = optimizer.optimize(tol=1e-6) ...

Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on distributed ...

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...

Want AI search engines and agents to find and use your content? Traditional SEO isn’t enough. AI systems process information differently. This guide breaks down key optimizations to help your content ...

I've spent a week building the Zen Portfolio Optimizer to help my family better optimize the ZEUS Family fund, and I wanted to make it available to our valued members. Since the Tool has several ...