Inferring knowledge about biological processes by a mathematical description is a major
characteristic of Systems Biology. To understand and predict system's behavior the available …

This paper describes the main issues encountered when applying model predictive control
to hybrid processes. Hybrid model predictive control (HMPC) is a research field non-fully …

Multi-energy multi-microgrid (MMG) networks are considered as a promising form of energy
systems that can integrate various energy resources and improve energy utilization …

We present a general-purpose solver for convex quadratic programs based on the
alternating direction method of multipliers, employing a novel operator splitting technique …

Variable neighborhood search (VNS) is a framework for building heuristics, based upon
systematic changes of neighborhoods both in a descent phase, to find a local minimum, and …

This paper proposes a framework for modeling and controlling systems described by
interdependent physical laws, logic rules, and operating constraints, denoted as mixed …

Variable neighborhood search (VNS) is a metaheuristic for solving combinatorial and global
optimization problems whose basic idea is a systematic change of neighborhood both within …

Many industrial problems can be naturally formulated using mixed integer non-linear
programming (MINLP) models and can be solved by spatial Branch&Bound (sBB) …

We prove, in a constructive way, the equivalence between piecewise affine systems and a
broad class of hybrid systems described by interacting linear dynamics, automata, and …

This survey covers the state of the art of techniques for solving general-purpose constrained
global optimization problems and continuous constraint satisfaction problems, with …