Tree ensembles can be well-suited for black-box optimization tasks such as algorithm tuning
and neural architecture search, as they achieve good predictive performance with little or no …

In this paper, a new method for computing an enclosure of the nondominated set of
multiobjective mixed-integer quadratically constrained programs without any convexity …

Efficient understanding and modelling of kinetics in complex organic reaction systems are
crucial in the development cycle. The dynamic experimental measurements can be …

Abstract Service providers usually offer different pricing schemes to consumers, which can
simultaneously influence consumers' tariff choices and their usage of the service and thus …

Mixed-integer non-linear programs (MINLPs) arise in various domains, such as energy
systems and transportation, but are notoriously difficult to solve. Recent advances in …

This work addresses (mixed-integer) joint chance-constrained optimization problems in
which the only uncertain parameter corresponds to the right-hand side coefficients in an …

Networked microgrids (NMGs) are critical in the absorption of distributed renewable energy.
However, the existing centralized state estimation (SE) cannot meet the needs of NMGs in …

For continuous decision spaces, nonlinear programs (NLPs) can be efficiently solved via
sequential quadratic programming (SQP) and, more generally, sequential convex …

传统卫星透明转发模式在新型星地网络下会导致巨大的时延. 为提高对地面用户的服务能力,
本文在低轨卫星和地面内容服务器上设置缓存, 并联合低轨卫星, 地面内容服务器以及地面用户 …

En este trabajo, se desarrolla un modelo de programación no-lineal entera mixta que
determina las decisiones a tomar para una planeación táctica en una cadena de suministro …