Mixed-integer linear programming (MILP) has become a cornerstone of operations research.
This is driven by the enhanced efficiency of modern solvers, which can today find globally …

We implement ultrafast, power-efficient, all-optical logic gates based on a liquid-core optical
fiber platform. We present, theoretically and experimentally, the unique nonlinear …

Mixed integer programming (MIP) is a fundamental model in operations research. Local
search is a powerful method for solving hard problems, but the development of local search …

Integer linear programming (ILP) models a wide range of practical combinatorial
optimization problems and significantly impacts industry and management sectors. This …

The Pseudo-Boolean problem deals with linear or polynomial constraints with integer
coefficients over Boolean variables. The objective lies in optimizing a linear objective …

We describe a diving heuristic framework based on constraint propagation for mixed integer
linear programs. The proposed approach is an extension of the common fix-and-propagate …

This paper presents a tabu search-based heuristic solver for general integer linear
programming (ILP) problems as a dependable alternative to branch-and-bound (B&B) …

Abstract We introduce ViolationLS, a Constraint-Based Local Search (CBLS) solver for
arbitrary MiniZinc models based on the Feasibility Jump Mixed-Integer Programming …