Pearl Abyss' fast-forward feature gets even faster ...

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 ...

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, ...

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 ...

What comes to mind when you think of a slime tutorial? Hundreds of videos of children using glue and borax to make some horrifying concoction, perhaps? For the theater community, the phrase’s meaning ...

I knew how to launch a mixed optimization with NSGA-II using the factory in the version 0.5. I would like to go for 0.6 but cannot find how to reproduce that, the doc is pretty unclear on that point, ...

The present tutorial aims to provide a comprehensible and easily accessible introduction into the theory and implementation of the famous Quantum Approximate Optimization Algorithm (QAOA). We lay our ...