Three versus six sessions of problem-solving training with or without boosters for care partners of adults with dementia (CaDeS): a randomised controlled optimization trial ...

Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with complex ...

UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial ...

A Unity asset that simplifies access to Bayesian optimization (via BoTorch). It implements a human-in-the-loop workflow: the optimizer proposes parameter values, collects user feedback as objective ...

In this paper, an adaptive neurodynamic algorithm based on multi-agent system is proposed to solve the multi-constraint matrix-valued optimization problem. The optimization problem with linear matrix ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...