Many optimal decision problems in scientific, engineering, and public sector applications
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …

In this paper, we present recent developments in the global optimization software BARON to
address problems with integer variables. A primary development was the addition of mixed …

This paper provides a survey of recent progress and software for solving convex Mixed
Integer Nonlinear Programs (MINLP) s, where the objective and constraints are defined by …

Abstract The Feasibility Pump (fp) is probably the best-known primal heuristic for mixed-
integer programming. The original work by Fischetti et al.(Math Program 104 (1): 91–104 …

We present an overview of the main algorithms in the literature for convex mixed integer
nonlinear programming and discuss aspects of their implementation in a new open source …

In the literature for mixed integer programming, heuristic algorithms (particularly primal
heuristics) are often considered as stand-alone procedures; in that context, heuristics are …

The electrification of transportation sector represents a promising approach to reduce transit-
related greenhouse gas emissions. However, both transportation and power utility sectors …

This article introduces rens, the relaxation enforced neighborhood search, a large
neighborhood search algorithm for mixed integer nonlinear programs (MINLPs). It uses a …

Feasibility pumps are highly effective primal heuristics for mixed-integer linear and nonlinear
optimization. However, despite their success in practice there are only a few works …

It is necessary to consider both the reservation and real-time travel demand in order to
coordinate and optimize vehicle routing and scheduling. In this paper, a two-step …